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Bishwamittra Ghosh
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2020 – today
- 2024
- [i12]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 abs/2403.07151 (2024) - [i11]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 abs/2404.12957 (2024) - [i10]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 abs/2407.19262 (2024) - [i9]Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu:
Active Fourier Auditor for Estimating Distributional Properties of ML Models. CoRR abs/2410.08111 (2024) - 2023
- [j4]Naheed Anjum Arafat, Arijit Khan
, Arpit Kumar Rai, Bishwamittra Ghosh
Neighborhood-based Hypergraph Core Decomposition. Proc. VLDB Endow. 16(9): 2061-2074 (2023) - [c7]Bishwamittra Ghosh
"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis. FAccT 2023: 138-148 - [c6]Bishwamittra Ghosh:
Interpretability and Fairness in Machine Learning: A Formal Methods Approach. IJCAI 2023: 7083-7084 - [i8]Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh:
Neighborhood-based Hypergraph Core Decomposition. CoRR abs/2301.06426 (2023) - 2022
- [j3]Bishwamittra Ghosh
Efficient Learning of Interpretable Classification Rules. J. Artif. Intell. Res. 74: 1823-1863 (2022) - [j2]Sajid Hasan Apon, Mohammed Eunus Ali, Bishwamittra Ghosh
Social-Spatial Group Queries with Keywords. ACM Trans. Spatial Algorithms Syst. 8(1): 1-32 (2022) - [c5]Bishwamittra Ghosh
Algorithmic Fairness Verification with Graphical Models. AAAI 2022: 9539-9548 - [i7]Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel:
Efficient Learning of Interpretable Classification Rules. CoRR abs/2205.06936 (2022) - [i6]Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis. CoRR abs/2206.00667 (2022) - 2021
- [c4]Bishwamittra Ghosh
Justicia: A Stochastic SAT Approach to Formally Verify Fairness. AAAI 2021: 7554-7563 - [i5]Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
Algorithmic Fairness Verification with Graphical Models. CoRR abs/2109.09447 (2021) - 2020
- [c3]Lorenzo Ciampiconi, Bishwamittra Ghosh
A MaxSAT-Based Framework for Group Testing. AAAI 2020: 10144-10152 - [c2]Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel:
Classification Rules in Relaxed Logical Form. ECAI 2020: 2489-2496 - [i4]Bishwamittra Ghosh, Kuldeep S. Meel:
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. CoRR abs/2001.01891 (2020) - [i3]Bishwamittra Ghosh, Daniel Neider:
A Formal Language Approach to Explaining RNNs. CoRR abs/2006.07292 (2020) - [i2]Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
Justicia: A Stochastic SAT Approach to Formally Verify Fairness. CoRR abs/2009.06516 (2020) - [i1]Daniel Neider, Bishwamittra Ghosh:
Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis. CoRR abs/2009.08770 (2020)
2010 – 2019
- 2019
- [c1]Bishwamittra Ghosh
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. AIES 2019: 203-210 - 2018
- [j1]Bishwamittra Ghosh
The Flexible Socio Spatial Group Queries. Proc. VLDB Endow. 12(2): 99-111 (2018)
Coauthor Index
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