Bishwamittra Ghosh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Formal Language

Machine Learning

Classification Rules

Top Venues

Proc. VLDB Endow.

Publications

Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. CoRR (2024)
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR (2024)
Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR (2024)
Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
Neighborhood-based Hypergraph Core Decomposition. CoRR (2023)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis. FAccT (2023)
Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
Neighborhood-based Hypergraph Core Decomposition. Proc. VLDB Endow. 16 (9) (2023)
Bishwamittra Ghosh
Interpretability and Fairness in Machine Learning: A Formal Methods Approach. IJCAI (2023)
Sajid Hasan Apon, Mohammed Eunus Ali, Bishwamittra Ghosh, Timos Sellis
Social-Spatial Group Queries with Keywords. ACM Trans. Spatial Algorithms Syst. 8 (1) (2022)
Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Efficient Learning of Interpretable Classification Rules. CoRR (2022)
Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Efficient Learning of Interpretable Classification Rules. J. Artif. Intell. Res. 74 (2022)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis. CoRR (2022)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
Algorithmic Fairness Verification with Graphical Models. AAAI (2022)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
Algorithmic Fairness Verification with Graphical Models. CoRR (2021)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
Justicia: A Stochastic SAT Approach to Formally Verify Fairness. AAAI (2021)
Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Classification Rules in Relaxed Logical Form. ECAI (2020)
Daniel Neider, Bishwamittra Ghosh
Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis. CoRR (2020)
Bishwamittra Ghosh, Daniel Neider
A Formal Language Approach to Explaining RNNs. CoRR (2020)
Bishwamittra Ghosh, Kuldeep S. Meel
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. CoRR (2020)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
Justicia: A Stochastic SAT Approach to Formally Verify Fairness. CoRR (2020)
Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel
A MaxSAT-Based Framework for Group Testing. AAAI (2020)
Bishwamittra Ghosh, Kuldeep S. Meel
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. AIES (2019)
Bishwamittra Ghosh, Mohammed Eunus Ali, Farhana Murtaza Choudhury, Sajid Hasan Apon, Timos Sellis, Jianxin Li
The Flexible Socio Spatial Group Queries. Proc. VLDB Endow. 12 (2) (2018)