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Poster
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Tue 14:00
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Continuously Tempered PDMP samplers
Matthew Sutton · Robert Salomone · Augustin Chevallier · Paul Fearnhead
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Poster
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Tue 14:00
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BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso · Sergey Samsonov · Achille Thin · Eric Moulines · Jimmy Olsson
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Poster
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Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren · Nikolai Hofmann · Jacob Munkberg
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Poster
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Tue 14:00
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Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
Albert Wilcox · Ashwin Balakrishna · Jules Dedieu · Wyame Benslimane · Daniel Brown · Ken Goldberg
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Poster
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Wed 14:00
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Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
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Poster
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Thu 9:00
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Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
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Poster
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Tue 14:00
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VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Hazal Koptagel · Oskar Kviman · Harald Melin · Negar Safinianaini · Jens Lagergren
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Poster
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Wed 9:00
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Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard · Michael Scherbela · Philipp Marquetand · Philipp Grohs
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Poster
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Wed 9:00
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Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
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Poster
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Thu 14:00
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Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou
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Poster
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Wed 9:00
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Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
Ganchao Wei · Ian H Stevenson · Xiaojing Wang
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Workshop
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Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction
Alan Kai Hassen · Paula Torren-Peraire · Samuel Genheden · Jonas Verhoeven · Mike Preuss · Igor Tetko
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