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Saumitra Mishra
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2020 – today
- 2024
- [j2]Faisal Hamman
, Erfaun Noorani, Saumitra Mishra
Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. IEEE J. Sel. Areas Inf. Theory 5: 357-368 (2024) - [c14]Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso:
Counterfactual Metarules for Local and Global Recourse. ICML 2024 - [c13]Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. ICML 2024 - [i15]Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso:
Counterfactual Metarules for Local and Global Recourse. CoRR abs/2405.18875 (2024) - [i14]Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang:
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR abs/2406.01899 (2024) - [i13]Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR abs/2406.02625 (2024) - [i12]Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, Freddy Lécué, Sanghamitra Dutta:
Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs. CoRR abs/2407.04173 (2024) - 2023
- [c12]Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. AAAI 2023: 6649-6657 - [c11]Emanuele Albini
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. AIES 2023: 411-431 - [c10]Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta:
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. ICML 2023: 12351-12367 - [c9]Dan Ley, Saumitra Mishra, Daniele Magazzeni:
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations. ICML 2023: 19315-19342 - [i11]Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions. CoRR abs/2302.04791 (2023) - [i10]Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta:
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. CoRR abs/2305.11997 (2023) - [i9]Dan Ley, Saumitra Mishra, Daniele Magazzeni:
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations. CoRR abs/2305.17021 (2023) - [i8]Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni:
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. CoRR abs/2307.06941 (2023) - 2022
- [c8]Sanghamitra Dutta, Jason Long, Saumitra Mishra, Cecilia Tilli, Daniele Magazzeni:
Robust Counterfactual Explanations for Tree-Based Ensembles. ICML 2022: 5742-5756 - [c7]Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li:
CLEAR: Generative Counterfactual Explanations on Graphs. NeurIPS 2022 - [i7]Dan Ley, Saumitra Mishra, Daniele Magazzeni:
Global Counterfactual Explanations: Investigations, Implementations and Improvements. CoRR abs/2204.06917 (2022) - [i6]Sanghamitra Dutta, Jason Long, Saumitra Mishra, Cecilia Tilli, Daniele Magazzeni:
Robust Counterfactual Explanations for Tree-Based Ensembles. CoRR abs/2207.02739 (2022) - [i5]Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li:
CLEAR: Generative Counterfactual Explanations on Graphs. CoRR abs/2210.08443 (2022) - 2021
- [i4]Saumitra Mishra, Sanghamitra Dutta, Jason Long, Daniele Magazzeni:
A Survey on the Robustness of Feature Importance and Counterfactual Explanations. CoRR abs/2111.00358 (2021) - 2020
- [c6]Saumitra Mishra, Emmanouil Benetos
Reliable Local Explanations for Machine Listening. IJCNN 2020: 1-8 - [i3]Saumitra Mishra, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
Reliable Local Explanations for Machine Listening. CoRR abs/2005.07788 (2020)
2010 – 2019
- 2019
- [c5]Saumitra Mishra, Sreehari Rammohan, Khalid Z. Rajab, Gurpreet Dhillon, Pier Lambiase
Atrial Fibrillation Stratification Via Super-Resolution Analysis of Fibrillatory Waves. CinC 2019: 1-4 - [i2]Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
GAN-based Generation and Automatic Selection of Explanations for Neural Networks. CoRR abs/1904.09533 (2019) - 2018
- [j1]Saumitra Mishra, R. D. S. Yadava:
A Method for Chaotic Self-Modulation in Nonlinear Colpitts Oscillator and its Potential Applications. Circuits Syst. Signal Process. 37(2): 532-552 (2018) - [c4]Saumitra Mishra, Bob L. Sturm, Simon Dixon:
"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems. EUSIPCO 2018: 2260-2264 - [c3]Saumitra Mishra, Bob L. Sturm, Simon Dixon:
Understanding a Deep Machine Listening Model Through Feature Inversion. ISMIR 2018: 755-762 - [c2]Bhusan Chettri
Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System. SLT 2018: 92-97 - [i1]Bhusan Chettri, Saumitra Mishra, Bob L. Sturm, Emmanouil Benetos:
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing. CoRR abs/1805.09164 (2018) - 2017
- [c1]Saumitra Mishra, Bob L. Sturm, Simon Dixon:
Local Interpretable Model-Agnostic Explanations for Music Content Analysis. ISMIR 2017: 537-543
Coauthor Index
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