Quanz, Brian

5 publications

IJCAI 2022 Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen

NeurIPSW 2021 Math Programming Based Reinforcement Learning for Multi-Echelon Inventory Management Pavithra Harsha, Ashish Jagmohan, Jayant Kalagnanam, Brian Quanz, Divya Singhvi

NeurIPS 2021 Predicting Deep Neural Network Generalization with Perturbation Response Curves Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

AAAI 2021 Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam Nguyen, Brian Quanz

IJCAI 2020 Toward a Neuro-Inspired Creative Decoder Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah