"sequential monte carlo" Papers
14 papers found
Conference
$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
Taehoon Yoon, Yunhong Min, Kyeongmin Yeo et al.
NEURIPS 2025spotlightarXiv:2506.01320
3
citations
Amortized Sampling with Transferable Normalizing Flows
Charlie Tan, Majdi Hassan, Leon Klein et al.
NEURIPS 2025posterarXiv:2508.18175
8
citations
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Alan Amin, Nate Gruver, Yilun Kuang et al.
ICLR 2025posterarXiv:2412.07763
8
citations
ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods
Michal Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
NEURIPS 2025posterarXiv:2505.22494
1
citations
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis
Robin Yadav, Qi Yan, Guy Wolf et al.
NEURIPS 2025posterarXiv:2506.04439
1
citations
Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design
Jake Callahan, Andrew Chin, Jason Pacheco et al.
NEURIPS 2025poster
Reverse Diffusion Sequential Monte Carlo Samplers
Luhuan Wu, Yi Han, Christian Andersson Naesseth et al.
NEURIPS 2025posterarXiv:2508.05926
5
citations
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
Shengyu Feng, Xiang Kong, shuang ma et al.
ICLR 2025posterarXiv:2410.01920
8
citations
Test Time Scaling for Neural Processes
Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.
NEURIPS 2025poster
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba
ICML 2024posterarXiv:2310.11914
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal, Adrien Corenflos, Simo Särkkä et al.
ICML 2024posterarXiv:2402.07868
Online Variational Sequential Monte Carlo
Alessandro Mastrototaro, Jimmy Olsson
ICML 2024posterarXiv:2312.12616
PASOA- PArticle baSed Bayesian Optimal Adaptive design
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.
ICML 2024posterarXiv:2402.07160
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao, Rob Brekelmans, Alireza Makhzani et al.
ICML 2024posterarXiv:2404.17546