MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
- Grace Guo
- Lifu Deng
- et al.
- 2024
- FAccT 2024
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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
Satellite Image Analysis by Pre-training Network
- Daiki Kimura
- Tatsuya Ishikawa
- et al.
- 2024
- IPSJ 2024
Area Sampling for Training Geospatial Foundation Models
- 2023
- AGU Fall 2023
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
- Yuqing Wang
- Prashanth Vijayaraghavan
- et al.
- 2023
- EMNLP 2023
Interpretable Differencing of Machine Learning Models
- Swagatam Haldar
- Diptikalyan Saha
- et al.
- 2023
- UAI 2023
Code Vulnerability Detection via Signal-Aware Learning
- Sahil Suneja
- Yufan Zhuang
- et al.
- 2023
- EuroS&P 2023
MATRIX RESOLVENT EIGENEMBEDDINGS FOR DYNAMIC GRAPHS
- Vasileios Kalantzis
- Panagiotis Traganitis
- 2023
- ICASSP 2023
Physics-based multiple time-series univariate forecasting
- Sumanta Mukherjee
- Arindam Jati
- et al.
- 2022
- Big Data 2022