Publications

153 results for Explainable AI

Area Sampling for Training Geospatial Foundation Models
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2023
- AGU Fall 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- - Amit Dhurandhar
  - Karthikeyan Natesan Ramamurthy
  - et al.
- 2023
- NeurIPS 2023
Cost-Aware Counterfactuals for Black Box Explanations
- - Natalia Martinez Gil
  - Kanthi Sarpatwar
  - et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- - Svetoslav Nizhnichenkov
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
- - Michael Hersche
  - Francesco Di Stefano
  - 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
Scalable Optimal Multiway-Split Decision Trees
- - Shivaram Subramanian
  - Wei Sun
- 2023
- INFORMS 2023
Counterfactual-driven Prescriptive Tree
- - Wei Sun
  - Shivaram Subramanian
  - et al.
- 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