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Workshop
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Amortized Decision-Aware Bayesian Experimental Design
Daolang Huang · Yujia Guo · Luigi Acerbi · Samuel Kaski
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Workshop
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Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis
Changmin Yu · Mate Lengyel
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Workshop
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Hi-fi functional priors by learning activations
Marcin Sendera · Amin Sorkhei · Tomasz Kuśmierczyk
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Poster
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Fri 16:30
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Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh · Dmitry Vetrov · Christian Andersson Naesseth
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Poster
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Wed 16:30
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Approximately Equivariant Neural Processes
Matthew Ashman · Cristiana Diaconu · Adrian Weller · Wessel Bruinsma · Richard Turner
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Poster
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Wed 16:30
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Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
Amber Hu · David Zoltowski · Aditya Nair · David Anderson · Lea Duncker · Scott Linderman
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Poster
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Fri 16:30
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Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
Philipp Froehlich · Heinz Koeppl
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Workshop
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Preventing Conflicting Gradients in Neural Temporal Point Process Models for Irregular Time Series Data
Tanguy Bosser · Souhaib Ben Taieb
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Workshop
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Using Convolutional Neural Processes to Produce High-Resolution Weather Datasets Over New Zealand
Emily O'Riordan
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Workshop
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A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
Julia Balla · Siddharth Mishra-Sharma · Carolina Cuesta · Tommi Jaakkola · Tess Smidt
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Poster
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Wed 16:30
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Improving Neural Network Surface Processing with Principal Curvatures
Josquin Harrison · James Benn · Maxime Sermesant
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Poster
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Fri 11:00
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FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen · Peng Ye · Hao Chen · kang chen · Tao Han · Wanli Ouyang · Tao Chen · LEI BAI
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