Publications

181 results for Explainable AI

Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
- - Andrea Pugnana
  - Riccardo Massidda
  - et al.
- 2025
- NeurIPS 2025
Causally Reliable Concept Bottleneck Models
- - Giovanni De Felice
  - Arianna Casanova Flores
  - et al.
- 2025
- NeurIPS 2025
Learn more about our Explainable AI work
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- - Dennis Wei
  - Inkit Padhi
  - et al.
- 2025
- NeurIPS 2025
Dynamic Features Adaptation in Networking: Toward Flexible training and Explainable inference
- - Yannis Belkhiter
  - Seshu Tirupathi
  - et al.
- 2025
- NeurIPS 2025
Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems
- - Pavithra Harsha
  - Chitra Subramanian
  - et al.
- 2025
- NeurIPS 2025
Specifying exact circuit algorithms in universal transformers
- - Taku Ito
  - Ruchir Puri
  - et al.
- 2025
- NeurIPS 2025
Toward a Coherent Virtual Cell Model: Probing Biological World-Model Coherence in Transcriptomic Foundation Models
- - Noa Moriel
  - Yishai Shimoni
  - et al.
- 2025
- NeurIPS 2025
Multi-Domain Explainability of Preferences
- - Nitay Calderon
  - Liat Ein-Dor
  - et al.
- 2025
- EMNLP 2025
XABPs: Towards eXplainable Autonomous Business Processes
- - Peter Fettke
  - Fabiana Fournier
  - et al.
- 2025
- ECAI 2025
Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators
- - Hyo Jin Do
  - Rachel Ostrand
  - et al.
- 2025
- AIES 2025