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Workshop
M(otion)-mode Based Prediction of Cardiac Function on Echocardiograms
Thomas Sutter · Sebastian Balzer · Ece Ozkan · Julia Vogt
Workshop
How can we use natural evolution and genetic experiments to design protein functions?
Ada Shaw · June Shin · Debora Marks
Workshop
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library with Linear Objective Function
Bo Tang · Elias Khalil
Poster
Tue 14:00 JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Drew Prinster · Anqi Liu · Suchi Saria
Poster
Wed 14:00 Conformalized Fairness via Quantile Regression
Meichen Liu · Lei Ding · Dengdeng Yu · Wulong Liu · Linglong Kong · Bei Jiang
Workshop
Bayesian parameter inference of a vortically perturbed flame model for the prediction of thermoacoustic instability
Max Croci · Joel Vasanth · Ushnish Sengupta · Ekrem Ekici · Matthew Juniper
Poster
Wed 14:00 Exploring evolution-aware & -free protein language models as protein function predictors
Mingyang Hu · Fajie Yuan · Kevin Yang · Fusong Ju · Jin Su · Hui Wang · Fei Yang · Qiuyang Ding
Poster
Wed 9:00 Fair Wrapping for Black-box Predictions
Alexander Soen · Ibrahim Alabdulmohsin · Sanmi Koyejo · Yishay Mansour · Nyalleng Moorosi · Richard Nock · Ke Sun · Lexing Xie
Poster
Tue 9:00 Structured Energy Network As a Loss
Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum