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Workshop
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Fri 7:10
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Learning to Look by Self-Prediction
Matthew Grimes
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Workshop
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PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library with Linear Objective Function
Bo Tang · Elias Khalil
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Workshop
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Learning to Look by Self-Prediction
Matthew Grimes · Joseph Modayil · Piotr Mirowski · Dushyant Rao · Raia Hadsell
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Workshop
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Fri 12:30
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Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
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Workshop
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Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures
Carmen Al Masri · Francesco Trozzi · Marcel Patek · Anna Cichonska · Balaguru Ravikumar · Rayees Rahman
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Workshop
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Fri 13:00
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Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
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Poster
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Thu 14:00
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Convergence for score-based generative modeling with polynomial complexity
Holden Lee · Jianfeng Lu · Yixin Tan
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Poster
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Thu 9:00
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GULP: a prediction-based metric between representations
Enric Boix-Adsera · Hannah Lawrence · George Stepaniants · Philippe Rigollet
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Panel
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Thu 10:45
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Panel 5B-4: Predictive Querying for… & On the difficulty…
Alex Boyd · Jonas Mikhaeil
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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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Poster
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Wed 9:00
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A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
Wonseok Hwang · Dongjun Lee · Kyoungyeon Cho · Hanuhl Lee · Minjoon Seo
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Poster
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Thu 14:00
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OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Mohit Prabhushankar · Kiran Kokilepersaud · Yash-yee Logan · Stephanie Trejo Corona · Ghassan AlRegib · Charles Wykoff
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