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Workshop
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Conditioned Spatial Downscaling of Climate Variables
Alex Hung · Evan Becker · Ted Zadouri · Aditya Grover
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Affinity Workshop
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Assessing Schistosomiasis transmission dynamics with heterogeneous intermediate host: A modeling study
Chidozie Chukwu
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Workshop
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Fri 11:06
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Statistical Downscaling of Sea Surface Temperature Projections with a Multivariate Gaussian Process Model
Ayesha Ekanayaka
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Poster
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Wed 9:00
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Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
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Poster
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Tue 9:00
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Learning (Very) Simple Generative Models Is Hard
Sitan Chen · Jerry Li · Yuanzhi Li
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Poster
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Thu 14:00
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A Kernelised Stein Statistic for Assessing Implicit Generative Models
Wenkai Xu · Gesine D Reinert
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Workshop
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LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla’s LiFePo4 EV Battery
Jeyhun Rustamov · Luisa Fennert · Nico Hoffmann
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Poster
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Thu 9:00
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An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
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Poster
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Wed 9:00
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Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang · Nir Weinberger
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Poster
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Thu 14:00
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Semantic uncertainty intervals for disentangled latent spaces
Swami Sankaranarayanan · Anastasios Angelopoulos · Stephen Bates · Yaniv Romano · Phillip Isola
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Poster
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Thu 9:00
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Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Wanshan Li · Alessandro Rinaldo · Daren Wang
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Poster
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Thu 9:00
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A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
Michael Pearce · Elena A. Erosheva
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