Cover Image

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Skreta, Marta, Akhound-Sadegh, Tara, Ohanesian, Viktor, Bondesan, Roberto, Aspuru-Guzik, Alán, Doucet, Arnaud, Brekelmans, Rob, Tong, Alexander, Neklyudov, Kirill
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discrete Feynman-Kac Correctors
by: Hasan, Mohsin, et al.
Published: (2026)

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2025)

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
by: Du, Yuanqi, et al.
Published: (2024)

The Superposition of Diffusion Models Using the Itô Density Estimator
by: Skreta, Marta, et al.
Published: (2024)

A Computational Framework for Solving Wasserstein Lagrangian Flows
by: Neklyudov, Kirill, et al.
Published: (2023)

Sampling from Energy-based Policies using Diffusion
by: Jain, Vineet, et al.
Published: (2024)

Riemannian MeanFlow
by: Woo, Dongyeop, et al.
Published: (2026)

Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
by: Brekelmans, Rob, et al.
Published: (2022)

RePLan: Robotic Replanning with Perception and Language Models
by: Skreta, Marta, et al.
Published: (2024)

Quantum Deep Equilibrium Models
by: Schleich, Philipp, et al.
Published: (2024)

A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
by: Kristiadi, Agustinus, et al.
Published: (2024)

Efficient Quantum Algorithm for All Quantum Wavelet Transforms
by: Bagherimehrab, Mohsen, et al.
Published: (2023)

FALCON: Few-step Accurate Likelihoods for Continuous Flows
by: Rehman, Danyal, et al.
Published: (2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models
by: Wang, Haorui, et al.
Published: (2024)

Learning with springs and sticks
by: Calderón, Luis Mantilla, et al.
Published: (2025)

A theory of understanding for artificial intelligence: composability, catalysts, and learning
by: Zhang, Zijian, et al.
Published: (2024)

Waveflow: boundary-conditioned normalizing flows applied to fermionic wavefunctions
by: Thiede, Luca, et al.
Published: (2022)

Generative diffusion model for surface structure discovery
by: Rønne, Nikolaj, et al.
Published: (2024)

qSWIFT: High-order randomized compiler for Hamiltonian simulation
by: Nakaji, Kouhei, et al.
Published: (2023)

On Infinitesimal Generators and Feynman-Kac Integrals of Adelic Diffusion
by: Weisbart, David
Published: (2020)

Local MAP Sampling for Diffusion Models
by: Zhang, Shaorong, et al.
Published: (2025)

Scalable Autoregressive 3D Molecule Generation
by: Cheng, Austin H., et al.
Published: (2025)

Optimised Annealed Sequential Monte Carlo Samplers
by: Syed, Saifuddin, et al.
Published: (2024)

Reflection-Equivariant Diffusion for 3D Structure Determination from Isotopologue Rotational Spectra in Natural Abundance
by: Cheng, Austin, et al.
Published: (2023)

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
by: Brekelmans, Rob, et al.
Published: (2023)

Annealed Importance Sampling with q-Paths
by: Brekelmans, Rob, et al.
Published: (2020)

Informing Acquisition Functions via Foundation Models for Molecular Discovery
by: Chen, Qi, et al.
Published: (2025)

DEQuify your force field: More efficient simulations using deep equilibrium models
by: Burger, Andreas, et al.
Published: (2025)

SynTwins: A Retrosynthesis-Guided Framework for Synthesizable Molecular Analog Generation
by: Chen, Shuan, et al.
Published: (2025)

Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data
by: Eppel, Sagi, et al.
Published: (2024)

The Feynman-Kac formula in deformation quantization
by: Berra-Montiel, Jasel, et al.
Published: (2025)

Feynman-Kac Operator Expectation Estimator
by: Li, Jingyuan, et al.
Published: (2024)

Asymptotics of Some Feynman-Kac Functionals
by: Hagwood, Charles
Published: (2025)

Long time behavior of killed Feynman-Kac semigroups with singular Schr{ö}dinger potentials
by: Guillin, Arnaud, et al.
Published: (2024)

Neural Simulated Annealing
by: Correia, Alvaro H. C., et al.
Published: (2022)

Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction
by: Pauline, Vincent, et al.
Published: (2025)

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots
by: Guan, Vincent, et al.
Published: (2026)

A tomographic interpretation of structure-property relations for materials discovery
by: Ortega-Ochoa, Raul, et al.
Published: (2025)

Symmetry From Scratch: Group Equivariance as a Supervised Learning Task
by: Huang, Haozhe, et al.
Published: (2024)

Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability
by: Delgadino, Matias G., et al.
Published: (2026)