Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
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7 results for Roman Vaculin
Prune, Permute and Expand: Efficient Machine Learning under Non-Client-Aided Homomorphic Encryption
- Ehud Aharoni
- Moran Baruch
- et al.
- 2022
- MICRO 2022
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- Natalia Martinez Gil
- Dhaval Patel
- et al.
- 2024
- UAI 2024
Efficient Pruning for Machine Learning under Homomorphic Encryption
- Ehud Aharoni
- Moran Baruch
- et al.
- 2023
- ESORICS 2023
Physics-based multiple time-series univariate forecasting
- Sumanta Mukherjee
- Arindam Jati
- et al.
- 2022
- Big Data 2022
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
- Kibichii Bore
- Ravi Kiran Raman
- et al.
- 2019
- ICBC 2019
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023