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Vinayak graduated with flying colors! His thesis was highly rated by all reviewers who gave it an ``award quality”. He (remotely) defended the thesis from U Washington where he is doing his post-doc with Tim Althoff.

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After waiting what seemed like an eternity (it was just 2 days due to delayed notifications), we got acceptance notifications for both of our submissions. Work led by wonderful Ph.D. students, Vinayak Gupta and Shubham Gupta!!

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Garima Gaur, my second Ph.D. student, advised jointly with Arnab Bhattacharya at IITK, successfully defended her thesis titled Provenance-Aware Computation and Maintenance of Graph Query Results under Dynamic Knowledge Graphs. Congratulations, Dr. Gaur!

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On Summer/Winter Internship Requests

I am NOT offering any short-term projects for internships and I do not have the bandwidth to respond to requests about summer or winter internships. If you are interested in working with me, I recommend you apply for a short-term employment in one of my projects, or join the B.Tech./M.Tech./Ph.D. programs in IIT-Delhi.

Calendar

Please make an appointment based on my availability below

Working Hours: 9:30AM - 12:30PM; 2:00PM - 5:30PM

Recent Publications

More Publications

. Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024.

. SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution. Proc. of the 62nd Annual Meeting of the Association of Computational Linguistics (ACL), 2024.

. Data-Dependent Generalization Bounds for Neural Networks with ReLU. Transactions on Machine Learning Research (TMLR), 2024.

Preprint PDF

. Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024.

. Generative Modeling of Labeled Graphs under Data Scarcity. Proc. of the 2nd Learning on Graphs Conference (LoG), 2024.

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Courses

COL 764 - Information Retrieval and Web Search (2024-25 Sem 1)

Understand and implement large-scale search systems effectively and efficiently

COL 868 / AIL 841 - Special Topics in Data Science / Database Systems (2023-24 Sem. 2)

Explore recent developments in Data Wrangling for Data Science

COL 764 - Information Retrieval and Web Search (2023-24 Sem 1)

Understand and implement large-scale search systems effectively and efficiently

COL 100 - Introduction to Computer Science (2021-22 Sem 2)

Introduction to CS with Programming in Python

COL 764 - Information Retrieval and Web Search (2021-22 Sem 1)

Understand and implement large-scale search systems effectively and efficiently

COL 873 - Spl Topics in NLP (2020-21 Sem 2)

Advanced Information Retrieval

COL 764 - Information Retrieval and Web Search (2020-21 Sem 1)

Understand and implement large-scale text search systems effectively and efficiently

COL 106 - Datastructures and Algorithms (2019-20 Sem 2)

Datastructures and algorithms using Java.

COL 864 - Spl Topics in AI (2019-20 Sem 1)

Focus on Information Retrieval

COV 888 - Spl. Module in Database Systems (2018-19 Sem 2)

Focus on Knowledge Graph Management and IR

COL 864 - Spl Topics in AI (2018-19 Sem 1)

Focus on Information Retrieval

Projects

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Multimodel-Multimodal Indexing (2020-- )

Scalable Multi-modal Indexing in Multi-model DBs

IBM-IITD AI Horizons Network (2019-- )

Neuro-Symbolic Information Systems

Social Media Analysis (2018-2021)

Building Platforms for Privacy-preserving and Aggregated Analysis of Media

Students

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Current

Ph.D.

M.S(Research)

  • Ankit Mazumder (IITD)
  • Harsh Pandey (IITD) – Generalization Bounds in Deep Learning jointly with Amitabha Bagchi
  • Prachi (IITD) – Multimodal Disentangled Representations for Explainable Retrieval

M.Tech./Dual

Contact