Saumitra Mishra

According to our database, Saumitra Mishra authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees.

Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta

IEEE J. Sel. Areas Inf. Theory, 2024

Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs.

Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, Freddy Lécué, Sanghamitra Dutta

CoRR, 2024

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models.

Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang

CoRR, 2024

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions.

Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Counterfactual Metarules for Local and Global Recourse.

Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations.

Dan Ley, Saumitra Mishra, Daniele Magazzeni

Proceedings of the International Conference on Machine Learning, 2023

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees.

Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta

Proceedings of the International Conference on Machine Learning, 2023

On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations.

Emanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions.

Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Global Counterfactual Explanations: Investigations, Implementations and Improvements.

Dan Ley, Saumitra Mishra, Daniele Magazzeni

CoRR, 2022

CLEAR: Generative Counterfactual Explanations on Graphs.

Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Counterfactual Explanations for Tree-Based Ensembles.

Sanghamitra Dutta, Jason Long, Saumitra Mishra, Cecilia Tilli, Daniele Magazzeni

Proceedings of the International Conference on Machine Learning, 2022

2021

A Survey on the Robustness of Feature Importance and Counterfactual Explanations.

Saumitra Mishra, Sanghamitra Dutta, Jason Long, Daniele Magazzeni

CoRR, 2021

2020

Reliable Local Explanations for Machine Listening.

Saumitra Mishra, Emmanouil Benetos, Bob L. Sturm, Simon Dixon

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

GAN-based Generation and Automatic Selection of Explanations for Neural Networks.

Saumitra Mishra, Daniel Stoller, Emmanouil Benetos, Bob L. Sturm, Simon Dixon

CoRR, 2019

Atrial Fibrillation Stratification Via Super-Resolution Analysis of Fibrillatory Waves.

Saumitra Mishra, Sreehari Rammohan, Khalid Z. Rajab, Gurpreet Dhillon, Pier Lambiase, Ross Hunter, Elaine Chew

Proceedings of the 46th Computing in Cardiology, 2019

2018

A Method for Chaotic Self-Modulation in Nonlinear Colpitts Oscillator and its Potential Applications.

Saumitra Mishra, R. D. S. Yadava

Circuits Syst. Signal Process., 2018

A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing.

Bhusan Chettri, Saumitra Mishra, Bob L. Sturm, Emmanouil Benetos

CoRR, 2018

Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System.

Bhusan Chettri, Saumitra Mishra, Bob L. Sturm, Emmanouil Benetos

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Understanding a Deep Machine Listening Model Through Feature Inversion.

Saumitra Mishra, Bob L. Sturm, Simon Dixon

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems.

Saumitra Mishra, Bob L. Sturm, Simon Dixon

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Local Interpretable Model-Agnostic Explanations for Music Content Analysis.

Saumitra Mishra, Bob L. Sturm, Simon Dixon

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017