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Poster
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Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
Zifan Wu · Chao Yu · Chen Chen · Jianye Hao · Hankz Hankui Zhuo
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Poster
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Wed 14:00
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In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder · Guy Horowitz · Yoav Wald · Roi Reichart · Nir Rosenfeld
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Workshop
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Diffusion Models for Video Prediction and Infilling
Tobias Höppe · Arash Mehrjou · Stefan Bauer · Didrik Nielsen · Andrea Dittadi
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Poster
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Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Deng Cai · Elman Mansimov · Yi-An Lai · Yixuan Su · Lei Shu · Yi Zhang
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Poster
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Thu 14:00
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HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue · Xiaoming Shi · James Zhang · Hongyuan Mei
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Workshop
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Improving the predictions of ML-corrected climate models with novelty detection
Clayton Sanford · Anna Kwa · Oliver Watt-Meyer · Spencer K. Clark · Noah Brenowitz · Jeremy McGibbon · Christopher S. Bretherton
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Workshop
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HubbardNet: Efficient Predictions of the Bose-Hubbard Model Spectrum with Deep Neural Networks
Ziyan Zhu · Marios Mattheakis · Weiwei Pan · Efthimios Kaxiras
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Competition
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Tue 14:30
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Invited talk: "Predicting mouse neural activity with models trained through supervised, unsupervised, and reinforcement learning"
Grace Lindsay
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Workshop
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Unsupervised language models for disease variant prediction
Allan Zhou · Nicholas C. Landolfi · Daniel ONeill
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Poster
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Wed 9:00
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On the Epistemic Limits of Personalized Prediction
Lucas Monteiro Paes · Carol Long · Berk Ustun · Flavio Calmon
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Poster
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Wed 9:00
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Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model
Billy Jin · Will Ma
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Workshop
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Dynamic-backbone protein-ligand structure prediction with multiscale generative diffusion models
Zhuoran Qiao · Weili Nie · Arash Vahdat · Thomas Miller · Anima Anandkumar
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