Wang, Bernie

22 publications

AISTATS 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yu-Xiang Wang

AISTATS 2025 ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Henri Joseph Senetaire, Ali Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram

ICML 2025 Enhancing Foundation Models for Time Series Forecasting via Wavelet-Based Tokenization Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang

ICLR 2025 Gradient-Free Generation for Hard-Constrained Systems Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Bernie Wang

NeurIPS 2025 MLZero: A Multi-Agent System for End-to-End Machine Learning Automation Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

TMLR 2024 Chronos: Learning the Language of Time Series Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang

ICLRW 2024 Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes Dynamics Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Bernie Wang, Andrew Stuart, Michael W. Mahoney

ICML 2024 Discovering Bias in Latent Space: An Unsupervised Debiasing Approach Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang

ICML 2024 Transferring Knowledge from Large Foundation Models to Small Downstream Models Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson

ICML 2024 Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs S Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang

AutoML 2023 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur, Ali Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang

NeurIPSW 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Bernie Wang

ICML 2023 Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park

NeurIPSW 2022 But Are You Sure? Quantifying Uncertainty in Model Explanations Charles Thomas Marx, Youngsuk Park, Hilaf Hasson, Bernie Wang, Stefano Ermon, Luke Huan

NeurIPSW 2022 First De-Trend Then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Bernie Wang

ICLR 2022 Graph-Relational Domain Adaptation Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang

NeurIPSW 2022 Towards Reverse Causal Inference on Panel Data: Precise Formulation and Challenges Jiayao Zhang, Youngsuk Park, Danielle C. Maddix, Dan Roth, Bernie Wang

ICLRW 2022 Zero-Shot Recommender Systems Hao Ding, Anoop Deoras, Bernie Wang, Hao Wang

NeurIPS 2021 Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh, Alexander J Smola, Bernie Wang, Tim Januschowski

NeurIPSW 2021 GOPHER: Categorical Probabilistic Forecasting with Graph Structure via Local Continuous-Time Dynamics Ke Alexander Wang, Danielle C. Maddix, Bernie Wang

NeurIPS 2021 Probabilistic Forecasting: A Level-Set Approach Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus