Don't worry about people stealing an idea. If it's original, you will have to ram it down their throats.
-- Howard Aiken

Books and Book Chapters


Videos


Tutorials


Refereed Journal Articles

  1. "Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction".
    Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N M Anoop Krishnan. Digital Discovery, RSC Publisher (2024).

  2. "MaScQA: Investigating Materials Science Knowledge of Large Language Models".
    Mohd Zaki, Jayadeva, Mausam, N M Anoop Krishnan. Digital Discovery, RSC Publisher. Volume 3 Issue 2 (2024) 313-327. DOI:10.1039/D3DD00188A

  3. "The New Faculty Highlights Program at AAAI-21".
    Kevin Leyton-Brown, Mausam, Qiang Yang. AI Magazine. Volume 43 Issue 4 (2022) 343-343.

  4. "TOOLTANGO: Commonsense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis".
    Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam. Journal of Artificial Intelligence Research (JAIR). Volume 75 (2022) 1595-1631.

  5. "Welcome back!".
    Hemangee Kalpesh Kapoor, Mausam, Venkatesh Raman. Introduction to India Region Special Section. Communications of the ACM (CACM). Volume 65 Issue 11 (2022) 40-42.

  6. "MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction".
    Tanishq Gupta, Mohd Zaki, N M Anoop Krishnan, Mausam. Npj Computational Materials 8, 102 (2022).

  7. "Unsupervised Learning of KB Queries in Task-Oriented Dialogs".
    Dinesh Raghu, Nikhil Gupta, Mausam. Transactions of the Association for Computational Linguistics (TACL). Volume 9 (2021) 374-390.

  8. "Constrained BERT BiLSTM CRF for Understanding Multi-Sentence Entity Seeking Questions".
    Danish Contractor, Barun Patra, Mausam, Parag Singla. Natural Language Engineering (NLE). Volume 27 Issue 1 (2021) 65-87.
    [Short Video]

  9. "Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence".
    Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huascar Espinoza, Eitan Farchi, Christopher Geib, Odd Erik Gundersen, Sean O hEigeartaig, Jose Hernandez-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, David Martinez, Marwan Mattar, Mausam, Julian McAuley, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Perolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni. AI Magazine Volume 40 Issue 3 (2019) 67-78.

  10. "The Landscape of AI".
    Mausam. Geography & You (GnY). Volume 19 Issue 22 (2019) 4-9.

  11. "Modeling Missing Data in Distant Supervision for Information Extraction".
    Alan Ritter, Luke Zettlemoyer, Mausam, Oren Etzioni. Transactions of the Association for Computational Linguistics (TACL). Volume 1(October) (2013) 367-378. Presented at Empirical Methods in Natural Language Processing (EMNLP). Seattle, WA, USA. October 2013.
    [Citations]

  12. "POMDP-based Control of Workflows for Crowdsourcing".
    Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld. Artificial Intelligence Journal (AIJ). Volume 202 (2013) 52-85.
    [Citations]

  13. "Discovering Hidden Structure in Factored MDPs".
    Andrey Kolobov, Mausam, Daniel S. Weld. Artificial Intelligence Journal (AIJ). Volume 189 (2012) 19-47.
    [Citations]

  14. "Topological Value Iteration Algorithms".
    Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith. Journal of Artificial Intelligence Research (JAIR). Volume 42 (2011) 181-209.
    [Citations]

  15. "Adapting Open Information Extraction to Domain-Specific Relations".
    Stephen Soderland, Brendan Roof, Bo Qin, Shi Xu, Mausam, Oren Etzioni. AI Magazine Volume 31 Issue 3 (2010) 93-102.
    [Citations]

  16. "Panlingual Lexical Translation via Probabilistic Inference".
    Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Kobi Reiter, Michael Skinner, Marcus Sammer, Jeff Bilmes. Artificial Intelligence Journal (AIJ). Volume 174 Issues 9-10 (2010) 619-637.
    [Citations]

  17. "A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains".
    Nicolas Meuleau, Emmanuel Benazera, Ronen Brafman, Eric Hansen, Mausam. Journal of Artificial Intelligence Research (JAIR). Volume 34 (2009) 27-59.
    [Citations]

  18. "Planning with Durative Actions in Stochastic Domains".
    Mausam, Daniel S. Weld. Journal of Artificial Intelligence Research (JAIR). Volume 31 (2008) 33-82.
    [Citations]


Archival Conference Papers

  1. "GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following".
    Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam. AAAI Conference on Artificial Intelligence (AAAI). Vancouver, BC, Canada. February 2024.
    [Acceptance Rate: 24%]

  2. "Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models".
    Daman Arora, Himanshu Gaurav Singh, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Singapore. December 2023.
    [Acceptance Rate: 23%]

  3. "Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs".
    Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Singapore. December 2023.
    [Acceptance Rate: 23%]

  4. "ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters".
    Vipul Kumar Rathore, Rajdeep Dhingra, Parag Singla, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Singapore. December 2023.
    [Acceptance Rate: 23%]

  5. "NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs".
    Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Singapore. December 2023.
    [Acceptance Rate: 23%]

  6. "SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for RDDL Relational MDPs".
    Vishal Sharma, Daman Arora, Mausam, Parag Singla. Conference on Uncertainty in Artificial Intelligence (UAI). Pittsburgh, USA. August 2023.
    [Acceptance Rate: 31%]

  7. "Multimodal Persona Based Generation of Comic Dialogs ".
    Harsh Agrawal, Aditya M. Mishra, Manish Gupta, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Toronto, Canada. July 2023.
    [Acceptance Rate (Long): 24%][Video]

  8. "Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions".
    Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Toronto, Canada. July 2023.
    [Acceptance Rate (Long): 24%]

  9. "DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles".
    Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N M Anoop Krishnan, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Toronto, Canada. July 2023.
    [Acceptance Rate (Long): 24%]

  10. "Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion".
    Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Toronto, Canada. July 2023.
    [Acceptance Rate (Short): 17%]

  11. "mOKB6: A Multilingual Open Knowledge Base Completion Benchmark".
    Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Toronto, Canada. July 2023.
    [Acceptance Rate (Short): 17%]

  12. "DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies".
    Vishal Saley, Rocktim Das, Dinesh Raghu, Mausam. ACL (Findings). July 2023.
    [Acceptance Rate (Long): 41%]

  13. "DeGPR: Deep Guided Posterior Regularisation For Multi-Class Cell Detection And Counting".
    Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver, BC, Canada. June 2023.
    [Acceptance Rate: 26%]

  14. ""Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds".
    Keshav Kolluru, Gabriel Stanovsky, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Abu Dhabi, United Arab Emirates. December 2022.
    [Acceptance Rate: 20%]

  15. "Joint Completion and Alignment of Multilingual Knowledge Graphs".
    Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Abu Dhabi, United Arab Emirates. December 2022.
    [Acceptance Rate: 20%]

  16. "Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation".
    Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Abu Dhabi, United Arab Emirates. December 2022.
    [Acceptance Rate: 20%]

  17. "A Solver-free Framework for Scalable Learning in Neural ILP Architectures".
    Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla. Conference on Neural Information Processing Systems (NeurIPS). New Orleans, USA. November 2022.
    [Acceptance Rate: 26%]

  18. "SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs".
    Vishal Sharma, Daman Arora, Florian Geißer, Mausam, Parag Singla. Conference on Uncertainty in Artificial Intelligence (UAI). Eindhoven, Netherlands. August 2022.
    [Acceptance Rate: 32%]

  19. "Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction".
    Keshav Kolluru, Mohammed Muqeeth, Shubham Mittal, Soumen Chakrabarti, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Dublin, Ireland. May 2022.
    [Acceptance Rate: 21%]

  20. "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction".
    Vipul Kumar Rathore, Kartikeya Badola, Parag Singla, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Dublin, Ireland. May 2022.
    [Acceptance Rate: 21%]

  21. "DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction".
    Abhyuday Bhartiya, Kartikeya Badola, Mausam. Annual Conference of the Association for Computational Linguistics (ACL). Dublin, Ireland. May 2022.
    [Acceptance Rate: 21%]

  22. "Neural Models for Output-Space Invariance in Combinatorial Problems".
    Yatin Nandwani, Vidit Jain, Mausam, Parag Singla. International Conference on Learning Representations (ICLR). Online. April 2022.
    [Acceptance Rate: 33%]

  23. "End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs".
    Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam. Empirical Methods in Natural Language Processing (EMNLP). Punta Cana, Dominican Republic. November 2021.
    [Acceptance Rate: 23%]

  24. "Answering POI-recommendation Questions using Tourism Reviews ".
    Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam. ACM International Conference on Information and Knowledge Management (CIKM). Gold Coast, Queensland, Australia. November 2021.
    [Acceptance Rate: 22%]

  25. "Regex Queries over Incomplete Knowledge Bases".
    Vaibhav Adlakha, Parth Shah, Srikanta J. Bedathur, Mausam. Automated Knowledge Base Construction (AKBC). Online. October 2021.

  26. "TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators".
    Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam. International Joint Conference on Artificial Intelligence (IJCAI). Online. August 2021.
    [Acceptance Rate: 14%]

  27. "Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs".
    Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi. ACL (Findings). August 2021.

  28. "Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces".
    Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla. International Conference on Learning Representations (ICLR). Online. May 2021.
    [Acceptance Rate: 29%] [Video]

  29. "Joint Spatio-Textual Reasoning for Answering Tourism Questions".
    Danish Contractor, Shashank Goel, Mausam, Parag Singla. The Web Conference (WWW). Online. April 2021.
    [Acceptance Rate: 21%] [Video]

  30. "Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols".
    Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti. Empirical Methods in Natural Language Processing (EMNLP). Online. November 2020.
    [Acceptance Rate: 22%] [Video]

  31. "OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction".
    Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti. Empirical Methods in Natural Language Processing (EMNLP). Online. November 2020.
    [Acceptance Rate: 22%] [Video]

  32. "A Simple Yet Strong Pipeline for HotpotQA".
    Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal. Empirical Methods in Natural Language Processing (EMNLP). Online. November 2020.
    [Acceptance Rate (Short): 17%] [Video]

  33. "Why and when should you pool? Analyzing Pooling in Recurrent Architectures".
    Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam. EMNLP (Findings). Online. November 2020.

  34. "Symbolic Network: Generalized Neural Policies for Relational MDPs".
    Sankalp Garg, Aniket Bajpai, Mausam. International Conference on Machine Learning (ICML). Online. July 2020.
    [Acceptance Rate: 22%] [Video]

  35. "IMOJIE: Iterative Memory-Based Joint Open Information Extraction".
    Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti. Annual Conference of the Association for Computational Linguistics (ACL). Online. July 2020.
    [Acceptance Rate: 23%] [Video]

  36. "OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion".
    Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam. Automated Knowledge Base Construction (AKBC). Online. June 2020.
    [Video]

  37. "A Primal Dual Formulation For Deep Learning With Constraints".
    Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla. Conference on Neural Information Processing Systems (NeurIPS). Montreal, Canada. December 2019.
    [Acceptance Rate: 21%]

  38. "CaRB: A Crowdsourced Benchmark for Open IE".
    Sangnie Bhardwaj, Samarth Aggarwal, Mausam. Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Hongkong, China. November 2019.
    [Acceptance Rate: 24%]

  39. "Size-Independent Neural Transfer for RDDL Planning".
    Sankalp Garg, Aniket Bajpai, Mausam. International Conference on Automated Planning and Scheduling (ICAPS). Berkeley, CA, USA. July 2019.
    [Acceptance Rate: 39%]

  40. "Disentangling Language and Knowledge in Task Oriented Dialogs".
    Dinesh Raghu, Nikhil Gupta, Mausam. Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). Minneapolis, MN, USA. June 2019.
    [Acceptance Rate: 23%]

  41. "Transfer of Deep Reactive Policies for MDP Planning".
    Aniket Bajpai, Sankalp Garg, Mausam. Conference on Neural Information Processing Systems (NeurIPS). Montreal, Canada. December 2018.
    [Acceptance Rate: 21%]

  42. "Sprout: Crowd-Powered Task Design for Crowdsourcing".
    Jonathan Bragg, Mausam, Daniel S. Weld. ACM User Interface Software and Technology Symposium (UIST). Berlin, Germany. October 2018.
    [Acceptance Rate: 21%]

  43. "Open Information Extraction from Conjunctive Sentences".
    Swarnadeep Saha, Mausam. International Conference on Computational Linguistics (COLING). Santa Fe, NM, USA. August 2018.
    [Acceptance Rate: 37%]

  44. "Block Value Symmetries in Probabilistic Graphical Models".
    Gagan Madan, Ankit Anand, Mausam, Parag Singla. Conference on Uncertainty in Artificial Intelligence (UAI). Monterey, CA, USA. August 2018.
    [Acceptance Rate: 31%]

  45. "Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision".
    Prachi Jain, Pankaj Kumar, Mausam, Soumen Chakrabarti. Annual Meeting of the Association for Computational Linguistics (ACL). Montreal, Australia. July 2018.
    [Acceptance Rate (Short): 24%] [Short Video]

  46. "Inferring Temporal Knowledge for Near-Periodic Recurrent Events".
    Dinesh Raghu, Surag Nair, Mausam. International Joint Conference on Artificial Intelligence (IJCAI). Stockholm, Sweden. July 2018.
    [Acceptance Rate: 20%]

  47. "Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference".
    Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti. International Joint Conference on Artificial Intelligence (IJCAI). Stockholm, Sweden. July 2018.
    [Acceptance Rate: 20%]

  48. "Active Learning with Unbalanced Classes & Example-Generation Queries".
    Christopher Lin, Mausam, Daniel S. Weld. AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Zurich, Switzerland. July 2018.
    [Acceptance Rate: 29%]

  49. "Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing".
    Karan Goel, Shreya Rajpal, Mausam. AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Quebec City, Canada. October 2017.
    [Acceptance Rate: 29%]

  50. "Coarse-to-Fine Lifted MAP Inference in Computer Vision".
    Haroun Habeeb, Ankit Anand, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. August 2017.
    [Acceptance Rate: 26%]

  51. "Bootstrapping for Numerical Open IE".
    Swarnadeep Saha, Harinder Pal, Mausam. Annual Meeting of the Association for Computational Linguistics (ACL). Vancouver, Canada. August 2017.
    [Acceptance Rate (Short): 18%]

  52. "Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models".
    Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam. International Conference on Artificial Intelligence and Statistics (AISTATS). Fort Lauderdale, Florida. April 2017.
    [Acceptance Rate: 32%]

  53. "Open Information Extraction Systems and Downstream Applications".
    Mausam. Invited Paper for Early Career Spotlight Track. International Joint Conference on Artificial Intelligence (IJCAI). New York, NY. July 2016.
    [Slides]

  54. "Contextual Symmetries in Probabilistic Graphical Models".
    Ankit Anand, Aditya Grover, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). New York, NY. July 2016.
    [Acceptance Rate: 24%][Updated arXiv version] [Citations]

  55. "Entity-balanced Gaussian pLSA for Automated Comparison".
    Danish Contractor, Mausam, Parag Singla. Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). San Diego, CA, USA. June 2016.
    [Acceptance Rate: 25%][Video]

  56. "Knowledge-Guided Linguistic Rewrites for Inference Rule Verification".
    Prachi Jain, Mausam. Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). San Diego, CA, USA. June 2016.
    [Acceptance Rate (Short): 29%]

  57. "OGA-UCT: On the Go Abstractions in UCT".
    Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla. International Conference on Automated Planning and Scheduling (ICAPS). London, United Kingdom. June 2016.
    [Acceptance Rate: 35%] [Citations]

  58. "Optimal Testing for Crowd Workers".
    Jonathan Bragg, Mausam, Daniel S. Weld. International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Singapore. May 2016.
    [Acceptance Rate: 25%] [Citations]

  59. "Numerical Relation Extraction with Minimal Supervision".
    Aman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi. AAAI Conference on Artificial Intelligence (AAAI). Phoenix, AZ, USA. February 2016.
    [Acceptance Rate: 26%] [Citations]

  60. "Re-active Learning: Active Learning with Relabeling".
    Christopher H. Lin, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Phoenix, AZ, USA. February 2016.
    [Acceptance Rate: 26%] [Citations]

  61. "Open IE as an Intermediate Structure for Semantic Tasks".
    Gabriel Stanovsky, Ido Dagan, Mausam. Joint Conference of the Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP). Beijing, China. July 2015.
    [Acceptance Rate: 22%] [Citations]

  62. "ASAP-UCT: Abstraction of State-Action Pairs in UCT".
    Ankit Anand, Aditya Grover, Mausam, Parag Singla. International Joint Conference on Artificial Intelligence (IJCAI). Buenos Aires, Argentina. July 2015.
    [Acceptance Rate: 29%] [Citations]

  63. "To Re(label), or Not To Re(label)".
    Christopher H. Lin, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP). Pittsburgh, PA, USA. November 2014.
    [Acceptance Rate: 32%] [Citations]

  64. "Parallel Task Routing for Crowdsourcing".
    Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP). Pittsburgh, PA, USA. November 2014.
    [Acceptance Rate: 32%] [Citations]

  65. "Hierarchical Summarization: Scaling Up Multi-Document Summarization".
    Janara Christensen, Stephen Soderland, Gagan Bansal, Mausam. Annual Meeting of the Association for Computational Linguistics (ACL). Baltimore, MD, USA. June 2014.
    [Acceptance Rate: 26%][Acceptance Rate (Oral): 17%] [Video] [Citations]

  66. "Crowdsourcing Multi-Label Classification for Taxonomy Creation".
    Jonathan Bragg, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP). Palm Springs, CA, USA. November 2013. Best paper award..
    [Acceptance Rate: 30%] [Citations]

  67. "Generating Coherent Event Schemas at Scale".
    Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni. Empirical Methods in Natural Language Processing (EMNLP). Seattle, WA, USA. October 2013.
    [Acceptance Rate: 27%][Acceptance Rate (Oral): 11%] [Citations]

  68. "Towards Coherent Multi-Document Summarization".
    Janara Christensen, Mausam, Stephen Soderland, Oren Etzioni. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). Atlanta, GA, USA. June 2013.
    [Acceptance Rate: 30%][Acceptance Rate (Oral): 21%] [Video] [Citations]

  69. "Crowdsourcing Control: Moving Beyond Multiple Choice".
    Christopher H. Lin, Mausam, Daniel S. Weld. Conference on Uncertainty in Artificial Intelligence (UAI). Catalina Island, CA, USA. August 2012.
    [Acceptance Rate: 31%] [Citations]

  70. "A Theory of Goal-Oriented MDPs with Dead Ends".
    Andrey Kolobov, Mausam, Daniel S. Weld. Conference on Uncertainty in Artificial Intelligence (UAI). Catalina Island, CA, USA. August 2012.
    [Acceptance Rate: 31%] [Citations]

  71. "Open Domain Event Extraction from Twitter".
    Alan Ritter, Mausam, Oren Etzioni, Sam Clark. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD). Beijing, China. August 2012.
    [Acceptance Rate: 18%] [Citations]

  72. "Open Language Learning for Information Extraction".
    Mausam, Michael Schmitz, Robert Bart, Stephen Soderland, Oren Etzioni. Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL). Jeju, Korea. July 2012. ACL'2022 ten-year test of time award..
    [Acceptance Rate: 22%] [Citations]

  73. "No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities".
    Thomas Lin, Mausam, Oren Etzioni. Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL). Jeju, Korea. July 2012.
    [Acceptance Rate (Oral): 16%] [Citations]

  74. "Dynamically Switching between Synergistic Workflows for Crowdsourcing".
    Christopher H. Lin, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Toronto, ON, Canada. July 2012. Accepted for both poster and oral presentation.
    [Acceptance Rate: 26%][Acceptance Rate (Oral): 12%] [Citations]

  75. "LRTDP vs. UCT for Online Probabilistic Planning".
    Andrey Kolobov, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Toronto, ON, Canada. July 2012. Accepted for both poster and oral presentation.
    [Acceptance Rate: 26%][Acceptance Rate (Oral): 12%] [Citations]

  76. "Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors".
    Andrey Kolobov, Peng Dai, Mausam, Daniel S. Weld. International Conference on Automated Planning and Scheduling (ICAPS). Sao Paolo, Brazil. June 2012.
    [Acceptance Rate: 35%] [Citations]

  77. "Artificial Intelligence for Artificial Artificial Intelligence".
    Peng Dai, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). San Francisco, CA, USA. August 2011. Accepted for both poster and oral presentation.
    [Acceptance Rate (Oral): 25%][Acceptance Rate (Oral+Poster): 4.4%] [Citations]

  78. "Named Entity Recognition in Tweets: An Experimental Study".
    Alan Ritter, Sam Clark, Mausam, Oren Etzioni. Conference on Empirical Methods in Natural Language Processing (EMNLP). Edinburgh, UK. July 2011.
    [Acceptance Rate: 23%] [Acceptance Rate (Oral): 15%] [Citations]

  79. "Open Information Extraction: the Second Generation".
    Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, Mausam. International Joint Conference on Artificial Intelligence (IJCAI). Invited paper. Barcelona, Spain. July 2011.
    [Citations]

  80. "An Analysis of Open Information Extraction based on Semantic Role Labeling".
    Janara Christensen, Mausam, Stephen Soderland, Oren Etzioni. International Conference on Knowledge Capture (KCAP). Banff, Alberta, Canada. June 2011.
    [Acceptance Rate: 24%] [Citations]

  81. "Heuristic Search for Generalized Stochastic Shortest Path MDPs".
    Andrey Kolobov, Mausam, Daniel S. Weld, Hector Geffner. International Conference on Automated Planning and Scheduling (ICAPS). Freiburg, Germany. June 2011.
    [Acceptance Rate: 35%] [Video] [Citations]

  82. "Identifying Functional Relations in Web Text".
    Thomas Lin, Mausam, Oren Etzioni. Conference on Empirical Methods in Natural Language Processing (EMNLP). Boston, MA, USA. October 2010.
    [Acceptance Rate (Oral): 14%] [Citations]

  83. "A Latent Dirichlet Allocation method for Selectional Preferences".
    Alan Ritter, Mausam, Oren Etzioni. Annual Meeting of the Association for Computational Linguistics (ACL). Uppsala, Sweden. July 2010.
    [Acceptance Rate: 25%] [Citations]

  84. "Panlingual Lexical Translation via Probabilistic Inference".
    Mausam, Stephen Soderland, Oren Etzioni. AAAI Conference on Artificial Intelligence Nectar Track (AAAI). Atlanta, GA, USA. July 2010.
    [Acceptance Rate (Nectar): 25%]

  85. "Decision-Theoretic Control of Crowd-Sourced Workflows".
    Peng Dai, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Atlanta, GA, USA. July 2010.
    [Acceptance Rate (Oral): 27%] [Citations]

  86. "SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs".
    Andrey Kolobov, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Accepted for both oral and poster presentation. Atlanta, GA, USA. July 2010.
    [Acceptance Rate (Oral): 27%][Acceptance Rate (Oral+Poster): 4%] [Citations]

  87. "Classical Planning in MDP Heuristics: with a Little Help from Generalization".
    Andrey Kolobov, Mausam, Daniel S. Weld. International Conference on Automated Planning and Scheduling (ICAPS). Toronto, ON, Canada. May 2010. Best paper nomination. Extended version invited for submission to AI Journal.
    [Acceptance Rate: 34%] [Citations]

  88. "Focused Topological Value Iteration".
    Peng Dai, Mausam, Daniel S. Weld. International Conference on Automated Planning and Scheduling (ICAPS). Thessaloniki, Greece. September 2009.
    [Acceptance Rate: 34%] [Citations]

  89. "Lemmatic Machine Translation".
    Stephen Soderland, Christopher Lim, Mausam, Bo Qin, Oren Etzioni, Jonathan Pool. Machine Translation Summit XII. Ottawa, Canada. August 2009.
    [Citations]

  90. "Compiling a Massive, Multilingual Dictionary via Probabilistic Inference".
    Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff Bilmes. Joint Conference of the Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP). Suntec, Singapore. August 2009.
    [Acceptance Rate: 21%] [Citations]

  91. "A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search".
    Janara Christensen, Mausam, Oren Etzioni. Joint Conference of the Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP). Suntec, Singapore. August 2009.
    [Acceptance Rate: 25%] [Citations]

  92. "ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning".
    Andrey Kolobov, Mausam, Daniel S. Weld. International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, CA, USA. July 2009.
    [Acceptance Rate: 26%] [Citations]

  93. "Domain Independent, Automatic Partitioning for Probabilistic Planning".
    Peng Dai, Mausam, Daniel S. Weld. International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, CA, USA. July 2009.
    [Acceptance Rate: 26%] [Citations]

  94. "Partitioned External Memory Value Iteration".
    Peng Dai, Mausam, Daniel S. Weld. AAAI Conference on Artificial Intelligence (AAAI). Chicago, IL, USA. July 2008.
    [Acceptance Rate: 24%] [Citations]

  95. "Evaluating Temporal Planning Domains".
    William Cushing, Subbarao Kambhampati, Kartik Talamadupula, Daniel S. Weld, Mausam. International Conference on Automated Planning and Scheduling (ICAPS). Providence, RI, USA. September 2007.
    [Acceptance Rate: 32%] [Citations]

  96. "A Hybridized Planner for Stochastic Domains".
    Mausam, Piergiorgio Bertoli, Daniel S. Weld. International Joint Conference on Artificial Intelligence (IJCAI). Hyderabad, A.P., India. January 2007.
    [Acceptance Rate (Oral): 16%] [Slides] [Citations]

  97. "When is Temporal Planning Really Temporal?".
    William Cushing, Subbarao Kambhampati, Mausam, Daniel S. Weld. International Joint Conference on Artificial Intelligence (IJCAI). Hyderabad, A.P., India. January 2007.
    [Acceptance Rate (Oral): 16%] [Citations]

  98. "Probabilistic Temporal Planning with Uncertain Durations".
    Mausam, Daniel S. Weld. National Conference on Artificial Intelligence (AAAI). Boston, MA, USA. July 2006.
    [Acceptance Rate (Oral): 22%] [Slides] [Citations]

  99. "Challenges for Temporal Planning with Uncertain Durations".
    Mausam, Daniel S. Weld. International Conference on Automated Planning and Scheduling (ICAPS). The English Lake District, UK. June 2006.
    [Acceptance Rate (Poster): 69%]

  100. "Planning with Continuous Resources in Stochastic Domains".
    Mausam, Emmanuel Benazera, Ronen Brafman, Nicolas Meuleau, Eric Hansen. International Joint Conference on Artificial Intelligence (IJCAI). Edinburgh, Scotland. August 2005.
    [Acceptance Rate: 18%] [Citations]

  101. "Concurrent Probabilistic Temporal Planning".
    Mausam, Daniel S. Weld. International Conference on Automated Planning and Scheduling (ICAPS). Monterey, CA, USA. June 2005.
    [Acceptance Rate: 35%] [Slides] [Citations]

  102. "Adversarial Classification".
    Nilesh Dalvi, Pedro Domingos, Mausam, Sumit Sanghai, Deepak Verma. International Conference on Knowledge Discovery and Data Mining (SIGKDD). Seattle, WA, USA. August 2004.
    [Acceptance Rate (Oral): 12%] [Citations]

  103. "Solving Concurrent Markov Decision Processes".
    Mausam, Daniel S. Weld. National Conference on Artificial Intelligence (AAAI). San Jose, CA, USA. July 2004.
    [Acceptance Rate: 26%] [Slides] [Citations]


Other Archival Papers

  1. "Demonyms and Compound Relational Nouns in Nominal Open IE".
    Harinder Pal, Mausam. Workshop on Automated Knowledge Base Construction (AKBC) at NAACL. San Diego, CA, USA. June 2016.

  2. "A Novel Abstraction Framework for Online Planning".
    Ankit Anand, Aditya Grover, Mausam, Parag Singla. Extended Abstract at International Conference on Autonomous Agents and Multi-agent Systems (AAMAS). Istanbul, Turkey. May 2015.

  3. "Joint Crowdsourcing of Multiple Tasks".
    Andrey Kolobov, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP), Work in Progress Track. Palm Springs, CA, USA. November 2013.
    [Citations]

  4. "Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing".
    Christopher H. Lin, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP), Work in Progress Track. Palm Springs, CA, USA. November 2013.

  5. "Personalized Online Education -- A Crowdsourcing Challenge".
    Daniel S. Weld, Eytan Adar, Lydia Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James Landay, Christopher H. Lin, Mausam. Human Computation Workshop (HCOMP) at AAAI. Toronto, ON, Canada. July 2012.
    [Citations]

  6. "Entity Linking at Web Scale".
    Thomas Lin, Mausam, Oren Etzioni. The Knowledge Extraction Workshop (AKBC-WEKEX) at NAACL. Montreal, Canada. June 2012.
    [Citations]

  7. "Rel-grams: A Probabilistic Model of Relations in Text".
    Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni. The Knowledge Extraction Workshop (AKBC-WEKEX) at NAACL. Montreal, Canada. June 2012.
    [Citations]

  8. "Execution Control for Crowdsourcing".
    Daniel S. Weld, Mausam, Peng Dai. Poster at ACM Symposium on User Interface Software and Technology (UIST). Santa Barbara, CA, USA. October 2011.
    [Acceptance Rate: 41%] [Citations]

  9. "Human Computation Needs Artificial Intelligence".
    Daniel S. Weld, Mausam, Peng Dai. Human Computation Workshop (HCOMP) at AAAI. San Francisco, CA, USA. July 2011.
    [Citations]

  10. "Commonsense from the Web: Relation Properties".
    Thomas Lin, Mausam, Oren Etzioni. AAAI Fall Symposium on Commonsense Knowledge (CSK). Arlington, VA, USA. November 2010.
    [Citations]


Non-Archival Posters and Workshop Papers

  1. "AutoMix: Mixing Models with Few-shot Self and Meta Verification".
    Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui. Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo) at NeurIPS. New Orleans, LA. December 2023.

  2. "Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction".
    Kausik Hira, Mohd Zaki, Dhruvil Bhavesh Sheth, Mausam, N M Anoop Krishnan. Workshop on AI for Accelerated Materials Design (AI4Mat) at NeurIPS. New Orleans, LA. December 2023.

  3. "Exploiting Long-Range Influences in Learning Generalized Neural Policies for RDDL Relational MDPs".
    Vishal Sharma, Daman Arora, Mausam, Parag Singla. Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) at IJCAI. Macao, S.A.R. August 2023.

  4. "Object-Centric Learning of Neural Policies for Zero-shot Transfer over Domains with Varying Quantities of Interest".
    Vishal Sharma, Aniket Gupta, Prayushi Faldu, Rushil Gupta, Mausam, Parag Singla. Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) at IJCAI. Macao, S.A.R. August 2023.

  5. "Let's Sample Step-by-Step: Adaptive-Consistency for Efficient Reasoning with LLMs".
    Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam. Workshop on Natural Language Reasoning and Structured Explanations at ACL. Toronto, ON, Canada. July 2023.

  6. "Learning Generalizable Task Policies for Embodied Agents in Domains with Rich Inter-object Interactions".
    Mustafa Chasmai, Shreshth Tuli, Mausam, Rohan Paul. Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning at CORL. Auckland, NZ. December 2022.

  7. "Natural Language Processing Aided Understanding of Material Science Literature".
    Mohd Zaki, Tanishq Gupta, N. M. Anoop Krishnan, Mausam. Symposium on Ceramics and Glasses Modeling by Simulations and Machine Learning at MS&T22. Pittsburgh, PA, USA. October 2022.

  8. "GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following".
    Shreya Sharma, Jigyasa Gupta, Shreshth Tuli, Rohan Paul, Mausam. Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) at ICAPS. Online. June 2022.

  9. "Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment".
    Harkanwar Singh, Soumen Chakrabarti, Prachi Jain, Sharod Roy Choudhury, Mausam Automated Knowledge Base Construction (AKBC). Online. October 2021.

  10. "Symbolic Network: Generalized Neural Policies for Relational MDPs".
    Sankalp Garg, Aniket Bajpai, Mausam. Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) at ICAPS. Online. October 2020.

  11. "TOOLNET: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis".
    Rajas Bansal, Shreshth Tuli, Rohan Paul, Mausam. Workshop on Advances & Challenges in Imitation Learning for Robotics at RSS. Online. July 2020.

  12. "Understanding Complex Multi-sentence Entity seeking Questions".
    Danish Contractor, Barun Patra, Mausam, Parag Singla. Workshop on Reasoning for Complex QA (RCQA) at AAAI. Honolulu, HI, USA. February 2019.

  13. "Lifted Inference for Faster Training (LIFT) in End-to-End Neural-CRF Models".
    Yatin Nandwani, Ankit Anand, Mausam, Parag Singla. Workshop on Relational Representation Learning (R2L) at NeurIPS. Montreal, Canada. December 2018.

  14. "Block Value Symmetries in Probabilistic Graphical Models".
    Gagan Madan, Ankit Anand, Mausam, Parag Singla. International Workshop on Statistical Relational AI (StarAI) at IJCAI. Stockholm, Sweden. July 2018.

  15. "Coarse-to-Fine Lifted MAP Inference in Computer Vision".
    Haroun Habeeb, Ankit Anand, Mausam, Parag Singla. International Workshop on Statistical Relational AI (StarAI) at UAI. Sydney, Australia. August 2017.

  16. "Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models".
    Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam. International Workshop on Statistical Relational AI (StarAI) at UAI. Sydney, Australia. August 2017.

  17. "Re-active Learning: Active Learning with Relabeling".
    Christopher Lin, Mausam, Daniel S. Weld. Conference on Human Computation and Crowdsourcing (HCOMP), Encore Track. Austin, TX, USA. November 2016.

  18. "Contextual Symmetries in Probabilistic Graphical Models".
    Ankit Anand, Aditya Grover, Mausam, Parag Singla. International Workshop on Statistical Relational AI (StarAI) at IJCAI. New York, NY. July 2016. Best paper award.

  19. "Reactive learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones".
    Christopher H. Lin, Mausam, Daniel S. Weld. Active Learning Workshop & CrowdML -- Workshop on Crowdsourcing and Machine Learning at ICML. Lille, France. July 2015.

  20. "Learning on the Job: Optimal Instruction for Crowdsourcing".
    Jonathan Bragg, Mausam, Daniel S. Weld. CrowdML -- Workshop on Crowdsourcing and Machine Learning at ICML. Lille, France. July 2015.

  21. "POMDP-Based Worker Pool Selection for Crowdsourcing".
    Shreya Rajpal, Karan Goel, Mausam. CrowdML -- Workshop on Crowdsourcing and Machine Learning at ICML. Lille, France July 2015.

  22. "To Re(Label) or Not to Re(Label)".
    Christopher H. Lin, Mausam, Daniel S. Weld. Workshop on Crowdsourcing and Machine Learning at NIPS. Montreal, Canada. December 2014.

  23. "Crowdsourcing Multi-Label Classification".
    Jonathan Bragg, Mausam, Daniel S. Weld. Poster and Presentation at CrowdConf Research Track. San Francisco, CA, USA. October 2013.

  24. "Programming Self-Optimizing Workfows for Crowdsourcing - A Status Report".
    Christopher H. Lin, Mausam, Daniel S. Weld. Poster at CrowdConf Research Track. San Francisco, CA, USA. October 2013.

  25. "Dynamically Switching between Synergistic Workflows for Crowdsourcing".
    Christopher H. Lin, Mausam, Daniel S. Weld. Human Computation Workshop (HCOMP) at AAAI. Toronto, ON, Canada. July 2012.

  26. "Crowdsourcing Control: Moving Beyond Multiple Choice".
    Christopher H. Lin, Mausam, Daniel S. Weld. Human Computation Workshop (HCOMP) at AAAI. Toronto, ON, Canada. July 2012.

  27. "Stochastic Shortest Paths MDPs with Dead Ends".
    Andrey Kolobov, Mausam, Daniel S. Weld. Workshop on Heuristics and Search for Domain Independent Planning at ICAPS. Sao Paolo, Brazil. June 2012.

  28. "Optimizing Crowd-Sourced Work Patterns".
    Daniel S. Weld, Mausam, Peng Dai. Poster at CrowdConf. San Francisco, CA, USA. October 2011.

  29. "Decision-Theoretic Control for Crowdsourcing".
    Peng Dai, Mausam, Daniel S. Weld. Poster at CrowdConf. San Francisco, CA, USA. October 2011.

  30. "Artificial Intelligence for Artificial Artificial Intelligence".
    Peng Dai, Mausam, Daniel S. Weld. Human Computation Workshop (HCOMP) at AAAI. San Francisco, CA, USA. July 2011.

  31. "Semantic Role Labeling for Open Information Extraction".
    Janara Christensen, Mausam, Stephen Soderland, Oren Etzioni. Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR) at NAACL. Los Angeles, CA, USA. June 2010.
    [Citations]

  32. "Machine Reading at the University of Washington".
    Hoifung Poon, Janara Christensen, Pedro Domingos, Oren Etzioni, Raphael Hoffmann, Chloe Kiddon, Thomas Lin, Xiao Ling, Mausam, Alan Ritter, Stefan Schoenmackers, Stephen Soderland, Dan Weld, Fei Wu, Congle Zhang. Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR) at NAACL. Los Angeles, CA, USA. June 2010.
    [Citations]

  33. "Decision-Theoretic Control of Crowd-Sourced Workflows".
    Peng Dai, Mausam, Daniel S. Weld. Scheduling and Planning Applications woRKshop (SPARK) at ICAPS. Toronto, ON, Canada. May 2010.

  34. "Determinize, Solve, and Generalize: Classical Planning for MDP Heuristics".
    Andrey Kolobov, Mausam, Daniel S. Weld. Workshop on Heuristics for Domain Independent Planning at ICAPS. Thessaloniki, Greece. September 2009.
    [Citations]

  35. "Regressing Deterministic Plans for MDP Function Approximation".
    Andrey Kolobov, Mausam, Daniel S. Weld. Workshop on A Reality Check for Planning and Scheduling Under Uncertainty at ICAPS. Sydney, Australia. September 2008.

  36. "Evaluating Temporal Planning Domains".
    William Cushing, Subbarao Kambhampati, Kartik Talamadupula, Daniel S. Weld, Mausam. Workshop on International Planning Competition: Past, Present and Future, at ICAPS. Providence, RI, USA. September 2007.

  37. "An AO* Algorithm for Planning with Continuous Resources".
    Emmanuel Benazera, Ronen Brafman, Nicolas Meuleau, Mausam, Eric Hansen. Workshop on Planning under Uncertainty for Autonomous Systems, at ICAPS. Monterey, CA, USA. June 2005.
    [Citations]

  38. "Concurrent Probabilistic Temporal Planning: Initial Results".
    Mausam, Daniel S. Weld. Workshop on Learning and Planning in Markov Processes -- Advances and Challenges, at AAAI. San Jose, CA, USA. July 2004.

  39. "Research on Statistical Relational Learning at the University of Washington".
    Pedro Domingos, Yeuhi Abe, Corin Anderson, AnHai Doan, Dieter Fox, Alon Halevy, Geoff Hulten, Henry Kautz, Tessa Lau, Lin Liao, Jayant Madhavan, Mausam, Don Patterson, Matthew Richardson, Sumit Sanghai, Daniel Weld, Steve Wolfman. Workshop on Learning Statistical Models from Relational Data, at IJCAI. Acapulco, Mexico. August 2003.
    [Citations]

  40. "Solving Relational MDPs with First-Order Machine Learning".
    Mausam, Daniel S. Weld. Workshop on Planning under Uncertainty and Incomplete Information, at ICAPS. Trento, Italy. June 2003.
    [Slides] [Citations]


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