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Affinity Event
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar
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Workshop
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Sat 14:42
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Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal · Aviv Netanyahu · Kevin P. Greenman · Pulkit Agrawal · Rafael Gomez-Bombarelli
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Workshop
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Sat 12:30
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Contributed Talk: Patrick O’Hara - Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Patrick O'Hara
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Poster
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Fri 11:00
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Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter · Guy Moss · Cornelius Schröder · Richard Gao · Jakob H Macke
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Workshop
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Can Bayesian Neural Networks Make Confident Predictions?
Katharine Fisher
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Workshop
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Sun 12:00
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Analog Bayesian neural networks are insensitive to the shape of the weight distribution
Ravi G Patel · Tianyao Xiao · Sapan Agarwal · Christopher H Bennett
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Workshop
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Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Harita Dellaporta · Patrick O'Hara · Theodoros Damoulas
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Poster
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Fri 11:00
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Toward Conditional Distribution Calibration in Survival Prediction
Shi-ang Qi · Yakun Yu · Russell Greiner
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Poster
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Wed 11:00
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
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Workshop
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Evaluating Sparse Galaxy Simulations via Out-of-Distribution Detection and Amortized Bayesian Model Comparison
Lingyi Zhou · Stefan Radev · William H. Oliver · Aura Obreja · Zehao Jin · Tobias Buck
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