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Poster
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Thu 14:00
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Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
Elliott Gordon-Rodriguez · Thomas Quinn · John Cunningham
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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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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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ExpressUrself: A spatial model for predicting recombinant expression from mRNA sequence
Michael P Dunne · Javier Caceres-Delpiano
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?
satej soman · Emily Aiken · Esther Rolf · Joshua Blumenstock
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Poster
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Thu 9:00
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Rethinking Nonlinear Instrumental Variable Models through Prediction Validity
Chunxiao Li · Cynthia Rudin · Tyler H. McCormick
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Poster
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Thu 14:00
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Efficient learning of nonlinear prediction models with time-series privileged information
Bastian Jung · Fredrik Johansson
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Workshop
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Predictive Dynamics Improve Noise Robustness in a Deep Network Model of the Human Auditory System
Ching Fang · Erica Shook · Justin Buck · Guillermo Horga
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Workshop
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Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Khang Ngo · Truong Son Hy · Risi Kondor
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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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Thu 9:00
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HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Lingjiao Chen · Zhihua Jin · Evan Sabri Eyuboglu · Christopher Ré · Matei Zaharia · James Zou
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