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Poster
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Fri 16:30
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Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
Raj Agrawal · Sam Witty · Andy Zane · Elias Bingham
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Workshop
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Sat 13:00
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Denoising Monte Carlo Renders with Diffusion Models
Vaibhav Vavilala · David Forsyth · Rahul Vasanth
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Poster
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Wed 11:00
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SPO: Sequential Monte Carlo Policy Optimisation
Matthew Macfarlane · Edan Toledo · Donal Byrne · Paul Duckworth · Alexandre Laterre
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Poster
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Wed 16:30
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Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction
Tengjie Zhu · Zhuo Chen · Jingnan Gao · Yichao Yan · Xiaokang Yang
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Poster
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Wed 16:30
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Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
Zhengmian Hu · Heng Huang
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Poster
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Wed 16:30
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Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
Zihui Wu · Yu Sun · Yifan Chen · Bingliang Zhang · Yisong Yue · Katherine Bouman
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Poster
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Fri 11:00
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Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
Alberto Cabezas · Louis Sharrock · Christopher Nemeth
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Poster
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Fri 16:30
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A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
Ye He · Alireza Mousavi-Hosseini · Krishnakumar Balasubramanian · Murat Erdogdu
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Workshop
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Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach
Jingyi Zhao · Yuxuan Ou · Austin Tripp · Morteza Rasoulianboroujeni · José Miguel Hernández-Lobato
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Poster
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Thu 11:00
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Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
Vu Dinh · Lam Ho · Cuong V. Nguyen
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Workshop
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MHP-DDP: Multivariate Hawkes Process with Dependent Dirichlet Process
Alex Jiang · Abel Rodriguez
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Poster
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Wed 11:00
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Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
Ye He · Kevin Rojas · Molei Tao
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