Publications

153 results for Explainable AI

Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
- - Ayush Jain
  - Manikandan Padmanaban
  - et al.
- 2024
- ICLR 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks
- - Georgia Perakis
  - Wei Sun
  - et al.
- 2024
- AISTATS 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
- - Dongxia Wu
  - Ide-San Ide
  - et al.
- 2024
- AISTATS 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- - Turgay Caglar
  - Sirine Belhaj
  - et al.
- 2024
- AAAI 2024
Satellite Image Analysis by Pre-training Network
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2024
- IPSJ 2024
A Physics Inspired Approach to the Understanding of Molecular Representations and Models
- - Luke Dicks
  - David Graff
  - et al.
- 2024
- MSDE
From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma
- - Simona Rabinovici-Cohen
  - Naomi Fridman
  - et al.
- 2024
- Cancers
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- - Francesco Fabiano
  - Vishal Pallagani
  - et al.
- 2024
- AAAI 2024
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
- - Jiaoyan Chen
  - Hang Dong
  - et al.
- 2024
- TGDK