Publications

170 results for Explainable AI

Cost-Aware Counterfactuals for Black Box Explanations
- - Natalia Martinez Gil
  - Kanthi Sarpatwar
  - et al.
- 2023
- NeurIPS 2023
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
- - Yuqing Wang
  - Prashanth Vijayaraghavan
  - et al.
- 2023
- EMNLP 2023
Unveiling Safety Vulnerabilities of Large Language Models
- - George Kour
  - Marcel Zalmanovici
  - et al.
- 2023
- EMNLP 2023
Counterfactual-driven Prescriptive Tree
- - Wei Sun
  - Shivaram Subramanian
  - et al.
- 2023
- INFORMS 2023
Scalable Optimal Multiway-Split Decision Trees
- - Shivaram Subramanian
  - Wei Sun
- 2023
- INFORMS 2023
Carbon-aware Data Center Management: Towards Sustainable And Efficient Operations
- - Kumar Saurav
  - Ayush Jain
- 2023
- INFORMS 2023
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- - Giridhar Ganapavarapu
  - Sumanta Mukherjee
  - et al.
- 2023
- KDD 2023
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection
- - Sahil Suneja
  - Yufan Zhuang
  - et al.
- 2023
- ACM TOSEM
A historical perspective of biomedical explainable AI research
- - Luca Malinverno
  - Vesna Barros
  - et al.
- 2023
- Patterns
Explainable Neuro-Symbolic Reinforcement Learning
- - Daiki Kimura
  - Stefan Zecevic
  - et al.
- 2023
- IJCAI 2023