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Oral Session
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Mon 1:00
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Oral 1 Track 2: Machine Learning for Sciences
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Oral Session
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Mon 1:00
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Oral 1 Track 3: Neuroscience and Cognitive Science & General Machine Learning
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Poster
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Mon 2:30
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Learning to Estimate Shapley Values with Vision Transformers
Ian Covert · Chanwoo Kim · Su-In Lee
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Oral
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Mon 2:00
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Learning to Estimate Shapley Values with Vision Transformers
Ian Covert · Chanwoo Kim · Su-In Lee
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Poster
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BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
Yuchen Liu · Ziyu Jia
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Poster
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Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng · Koven Yu · Jiajun Wu · Bo Zhu
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Oral Session
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Tue 6:00
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Oral 4 Track 5: Machine Learning for Sciences & Probabilistic Methods
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Workshop
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Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
Maksim Zhdanov · Andrey Zhdanov
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Workshop
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Thu 8:00
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Machine learning-guided directed evolution of functional proteins
Andrew Ferguson
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Poster
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PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao · Cheng Tan · Stan Z Li
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Poster
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A Learning Based Hypothesis Test for Harmful Covariate Shift
Tom Ginsberg · Zhongyuan Liang · Rahul G. Krishnan
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Poster
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Mon 2:30
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Valid P-Value for Deep Learning-driven Salient Region
Daiki Miwa · Vo Nguyen Le Duy · Ichiro Takeuchi
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