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Workshop
Learning to Look by Self-Prediction
Matthew Grimes · Joseph Modayil · Piotr Mirowski · Dushyant Rao · Raia Hadsell
Workshop
Fri 7:10 Learning to Look by Self-Prediction
Matthew Grimes
Workshop
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library with Linear Objective Function
Bo Tang · Elias Khalil
Workshop
Fri 12:30 Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
Workshop
Fri 13:00 Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
Workshop
Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures
Carmen Al Masri · Francesco Trozzi · Marcel Patek · Anna Cichonska · Balaguru Ravikumar · Rayees Rahman
Poster
Thu 9:00 GULP: a prediction-based metric between representations
Enric Boix-Adsera · Hannah Lawrence · George Stepaniants · Philippe Rigollet
Poster
Thu 14:00 Convergence for score-based generative modeling with polynomial complexity
Holden Lee · Jianfeng Lu · Yixin Tan
Poster
Wed 14:00 BayesPCN: A Continually Learnable Predictive Coding Associative Memory
Jinsoo Yoo · Frank Wood
Poster
Wed 14:00 The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
Poster
Thu 14:00 ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts
Saleh Ashkboos · Langwen Huang · Nikoli Dryden · Tal Ben-Nun · Peter Dueben · Lukas Gianinazzi · Luca Kummer · Torsten Hoefler
Poster
Wed 9:00 Towards Better Evaluation for Dynamic Link Prediction
Farimah Poursafaei · Shenyang Huang · Kellin Pelrine · Reihaneh Rabbany