Predicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
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35 results for Brian Quanz
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
- Nam Nguyen
- Brian Quanz
- 2021
- AAAI 2021
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
- Rares Christian
- Pavithra Harsha
- et al.
- 2023
- AAAI 2023
Towards creativity characterization of generative models via group-based subset scanning
- Celia Cintas
- Payel Das
- et al.
- 2021
- ICLR 2021
Gi and Pal Scores: Deep Neural Network Generalization Statistics
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- ICLR 2021
Practical application improvement to Quantum SVM: theory to practice
- Jae-eun Park
- Brian Quanz
- et al.
- 2020
- NeurIPS 2020
End-to-End Learning via Constraint-Enforcing Approximators for Linear Programs with Applications to Supply Chains
- Rares Christian
- Pavithra Harsha
- et al.
- 2022
- AAAI 2022
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
- Pavithra Harsha
- Ashish Jagmohan
- et al.
- 2021
- NeurIPS 2021
Toward A Neuro-inspired Creative Decoder
- Payel Das
- Brian Quanz
- et al.
- 2020
- ICLR 2020
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
- Arindam Jati
- Vijay Ekambaram
- et al.
- 2023
- KDD 2023