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Workshop
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Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries
Zarif Ikram · Ling Pan · Dianbo Liu
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Poster
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Wed 15:00
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Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Daolang Huang · Ayush Bharti · Amauri Souza · Luigi Acerbi · Samuel Kaski
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Poster
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Wed 15:00
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Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert · Bart Kranstauber · Emiel van Loon · Patrick Forré
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Poster
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Thu 8:45
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SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
Shane Bergsma · Tim Zeyl · Lei Guo
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Poster
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Thu 15:00
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ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
WEI XING · Yuxin Wang · Zheng Xing
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Poster
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Thu 15:00
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Credal Marginal MAP
Radu Marinescu · Debarun Bhattacharjya · Junkyu Lee · Fabio Cozman · Alexander Gray
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Workshop
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Hyperspectral shadow removal with iterative logistic regression and latent Parametric Linear Combination of Gaussians
Core Francisco Park · Cecilia Garraffo
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Poster
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Tue 15:15
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Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang · Yan Sun · Faming Liang
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Poster
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Tue 15:15
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DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang · Yuwang Wang · Yan Lu · Nanning Zheng
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Poster
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Tue 15:15
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Bayesian Learning via Q-Exponential Process
Shuyi Li · Michael O'Connor · Shiwei Lan
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Poster
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Tue 15:15
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Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
Qingyao Sun · Kevin Murphy · Sayna Ebrahimi · Alexander D'Amour
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Poster
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Thu 15:00
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Conditional score-based diffusion models for Bayesian inference in infinite dimensions
Lorenzo Baldassari · Ali Siahkoohi · Josselin Garnier · Knut Solna · Maarten V. de Hoop
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