Publications

199 results for Explainable AI

Introducing Trial-and-Error Exploration to Avoid Critical Failure for Efficient Reinforcement Learning
- - Minori Narita
  - Daiki Kimura
- 2023
- IJCAI 2023
Workshop paper
Explainable Neuro-Symbolic Reinforcement Learning
- - Daiki Kimura
  - Stefan Zecevic
  - et al.
- 2023
- IJCAI 2023
Workshop paper
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ IJCAI 2023)
- - Cameron Allen
  - Timo Gros
  - et al.
- 2023
- IJCAI 2023
Workshop
NSA: Neuro-Symbolic Agents Workshop
- - Daiki Kimura
  - Alessandra Russo
  - et al.
- 2023
- IJCAI 2023
Workshop
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- - Tsuyoshi Idé
  - Naoki Abe
- 2023
- KDD 2023
Conference paper
Interpretable Differencing of Machine Learning Models
- - Swagatam Haldar
  - Diptikalyan Saha
  - et al.
- 2023
- UAI 2023
Conference paper
Learning Prescriptive ReLU Networks
- - Wei Sun
  - Asterios Tsiourvas
- 2023
- ICML 2023
Conference paper
Simple Disentanglement of Style and Content in Visual Representations
- - Lilian Ngweta
  - Subha Maity
  - et al.
- 2023
- ICML 2023
Conference paper
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- - Timothy Castiglia
  - Yi Zhou
  - et al.
- 2023
- ICML 2023
Conference paper
Rectification Learning From Hypotheses Refutation and Relevance Classification
- - Victor Kravets
  - Jie-hong R. Jiang
  - et al.
- 2023
- DAC 2023
Poster