Local Interpretable Model-Agnostic Explanations for Music Content Analysis. - Saumitra Mishra; Bob L. Sturm; Simon Dixon (ISMIR, 2017)

"What are You Listening to?" Explaining Predictions of Deep Machine Listening Systems. - Saumitra Mishra; Bob L. Sturm; Simon Dixon (EUSIPCO, 2018)

Understanding a Deep Machine Listening Model Through Feature Inversion. - Saumitra Mishra; Bob L. Sturm; Simon Dixon (ISMIR, 2018)

Analysing The Predictions Of a CNN-Based Replay Spoofing Detection System. - Bhusan Chettri; Saumitra Mishra; Bob L. Sturm; Emmanouil Benetos (SLT, 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)

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)

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 (CinC, 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)

Reliable Local Explanations for Machine Listening. - Saumitra Mishra; Emmanouil Benetos; Bob L. Sturm; Simon Dixon (IJCNN, 2020)

A Survey on the Robustness of Feature Importance and Counterfactual Explanations. - Saumitra Mishra; Sanghamitra Dutta; Jason Long; Daniele Magazzeni (CoRR, 2021)

Robust Counterfactual Explanations for Tree-Based Ensembles. - Sanghamitra Dutta; Jason Long; Saumitra Mishra; Cecilia Tilli; Daniele Magazzeni (ICML, 2022)

CLEAR: Generative Counterfactual Explanations on Graphs. - Jing Ma 002; Ruocheng Guo; Saumitra Mishra; Aidong Zhang; Jundong Li (NeurIPS, 2022)

Global Counterfactual Explanations: Investigations, Implementations and Improvements. - Dan Ley; Saumitra Mishra; Daniele Magazzeni (CoRR, 2022)

Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. - Mahed Abroshan; Saumitra Mishra; Mohammad Mahdi Khalili (AAAI, 2023)

On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations. - Emanuele Albini; Shubham Sharma; Saumitra Mishra; Danial Dervovic; Daniele Magazzeni (AIES, 2023)

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. - Faisal Hamman; Erfaun Noorani; Saumitra Mishra; Daniele Magazzeni; Sanghamitra Dutta (ICML, 2023)

GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations. - Dan Ley; Saumitra Mishra; Daniele Magazzeni (ICML, 2023)

PICE: Polyhedral Complex Informed Counterfactual Explanations. - Mattia Jacopo Villani; Emanuele Albini; Shubham Sharma; Saumitra Mishra; Salim Ibrahim Amoukou; Daniele Magazzeni; Manuela Veloso (AIES (1), 2024)

Counterfactual Metarules for Local and Global Recourse. - Tom Bewley; Salim I. Amoukou; Saumitra Mishra; Daniele Magazzeni; Manuela Veloso (ICML, 2024)

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. - Sanjay Kariyappa; Freddy Lécué; Saumitra Mishra; Christopher Pond; Daniele Magazzeni; Manuela Veloso (ICML, 2024)

Sequential Harmful Shift Detection Without Labels. - Salim I. Amoukou; Tom Bewley; Saumitra Mishra; Freddy Lécué; Daniele Magazzeni; Manuela Veloso (NeurIPS, 2024)

IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos. - Yunong Liu; Cristóbal Eyzaguirre; Manling Li; Shubh Khanna; Juan Carlos Niebles; Vineeth Ravi; Saumitra Mishra; Weiyu Liu; Jiajun Wu 001 (NeurIPS, 2024)

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. - Wenzhuo Tang; Haitao Mao; Danial Dervovic; Ivan Brugere; Saumitra Mishra; Yuying Xie 001; Jiliang Tang (CoRR, 2024)

Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs. - Faisal Hamman; Pasan Dissanayake; Saumitra Mishra; Freddy Lécué; Sanghamitra Dutta (CoRR, 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)

Interpreting Language Reward Models via Contrastive Explanations. - Junqi Jiang; Tom Bewley; Saumitra Mishra; Freddy Lécué; Manuela Veloso (ICLR, 2025)

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach. - Yinhan He; Wendy Zheng; Yaochen Zhu; Jing Ma 002; Saumitra Mishra; Natraj Raman; Ninghao Liu; Jundong Li (Trans. Mach. Learn. Res., 2025)

Representation Consistency for Accurate and Coherent LLM Answer Aggregation. - Junqi Jiang; Tom Bewley; Salim I. Amoukou; Francesco Leofante; Antonio Rago 001; Saumitra Mishra; Francesca Toni (CoRR, 2025)