Chaturvedi, Snigdha

17 publications

NeurIPS 2025 EUGens: Efficient, Unified and General Dense Layers Sang Min Kim, Byeongchan Kim, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Rahul Kidambi, Dongseok Shim, Kumar Avinava Dubey, Snigdha Chaturvedi, Min-hwan Oh, Krzysztof Marcin Choromanski

AISTATS 2025 Fundamental Limits of Perfect Concept Erasure Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi

ICLR 2025 Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi

ICLR 2024 Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

NeurIPS 2024 Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamas Sarlos, Snigdha Chaturvedi

TMLR 2024 Incremental Extractive Opinion Summarization Using Cover Trees Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi

NeurIPS 2024 Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi

NeurIPSW 2024 Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi

ICML 2023 Efficient Graph Field Integrators Meet Point Clouds Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller

NeurIPS 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

AAAI 2023 Sustaining Fairness via Incremental Learning Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

AAAI 2020 Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge

AAAI 2020 Weakly-Supervised Opinion Summarization by Leveraging External Information Chao Zhao, Snigdha Chaturvedi

AAAI 2017 Unsupervised Learning of Evolving Relationships Between Literary Characters Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé Iii

AAAI 2016 Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé Iii

AAAI 2016 Inferring Interpersonal Relations in Narrative Summaries Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell

AAAI 2016 Modeling Evolving Relationships Between Characters in Literary Novels Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé Iii, Chris Dyer