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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

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

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

. Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion. Proc. of the 2nd IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SaTML), 2024.

. Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives (to appear). Proc. of the ACM India Joint International Conference on Data Sciences and Management of Data (CoDS-COMAD) 2024 (11th ACM iKDD CoDS and 29th COMAD), 2024.

. Evaluating Cross-modal Generative Models using Retrieval Task (to appear, short-paper). Proc. of the 46th Intl. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR), 2023.

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Courses

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 Mazumdar (IITD)
  • Harsh Pandey (IITD) – jointly with Amitabha Bagchi
  • Sai Kandregula (IITD) – jointly with Sayan Ranu
  • Shivangi Bithel (IITD)
  • Prachi (IITD)

M.Tech./Dual

  • Nishant Kumar (IITD) - Word Embeddings

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