:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bhattacharya, Riddhiman, Jiang, Tiefeng
Format:	Preprint
Published:	2023
Subjects:	Computation
Online Access:	https://arxiv.org/abs/2310.07542
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time-Inhomogeneous Preconditioned Langevin Dynamics
by: Falk, Alexander, et al.
Published: (2026)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm
by: Blumenthal, Moritz, et al.
Published: (2025)

Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
by: Baldassari, Lorenzo, et al.
Published: (2026)

Entropy-Guided Sampling of Flat Modes in Discrete Spaces
by: Mohanty, Pinaki, et al.
Published: (2025)

Simulation-based Inference via Langevin Dynamics with Score Matching
by: Jiang, Haoyu, et al.
Published: (2025)

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
by: Pynadath, Patrick, et al.
Published: (2024)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm
by: Moritz Blumenthal, et al.
Published: (2026)

High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
by: Srinivasan, Vishwak, et al.
Published: (2024)

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
by: Bar, Amitay, et al.
Published: (2024)

Sample as You Infer: Predictive Coding With Langevin Dynamics
by: Zahid, Umais, et al.
Published: (2023)

Efficient Sampling on Riemannian Manifolds via Langevin MCMC
by: Cheng, Xiang, et al.
Published: (2024)

Preconditioned Regularized Wasserstein Proximal Sampling
by: Tan, Hong Ye, et al.
Published: (2025)

Active Learning for Fair and Stable Online Allocations
by: Bhattacharya, Riddhiman, et al.
Published: (2024)

Statistical Finite Elements via Interacting Particle Langevin Dynamics
by: Glyn-Davies, Alex, et al.
Published: (2024)

Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction on Long Sequences
by: Kaltheuner, Julian, et al.
Published: (2026)

Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
by: Raut, Riddhiman, et al.
Published: (2024)

Fast and Efficient Parallel Sampling Using Higher Order Langevin Dynamics
by: Mahajan, Jaideep, et al.
Published: (2025)

Discrete Langevin-Inspired Posterior Sampling
by: Amballa, Chaitanya, et al.
Published: (2026)

Finite Sample Valid Inference via Calibrated Bootstrap
by: Jiang, Yiran, et al.
Published: (2024)

Proximal Langevin Sampling With Inexact Proximal Mapping
by: Ehrhardt, Matthias J., et al.
Published: (2023)

Non-Reversible Langevin Algorithms for Constrained Sampling
by: Du, Hengrong, et al.
Published: (2025)

Robust Symmetry Detection via Riemannian Langevin Dynamics
by: Je, Jihyeon, et al.
Published: (2024)

Annealed Langevin Monte Carlo for Flow ODE Sampling
by: Huang, Hanwen
Published: (2026)

Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
by: Baldassari, Lorenzo, et al.
Published: (2026)

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
by: Lau, Tim Tsz-Kit, et al.
Published: (2023)

Inference-Time Structural Reasoning for Compositional Vision-Language Understanding
by: Bhattacharya, Amartya
Published: (2026)

Stochastic Attention via Langevin Dynamics on the Modern Hopfield Energy
by: Alswaidan, Abdulrahman, et al.
Published: (2026)

IID Sampling from Intractable Distributions
by: Bhattacharya, Sourabh
Published: (2021)

Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models
by: Hunter, Rosco, et al.
Published: (2023)

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
by: Paulin, Daniel, et al.
Published: (2024)

Direct Soft-Policy Sampling via Langevin Dynamics
by: Ki, Donghyeon, et al.
Published: (2026)

Sampling and estimation on manifolds using the Langevin diffusion
by: Bharath, Karthik, et al.
Published: (2023)

Langevin Bi-fidelity Importance Sampling for Failure Probability Estimation
by: Cheng, Nuojin, et al.
Published: (2025)

No Free Lunch for Stochastic Gradient Langevin Dynamics
by: Pillai, Natesh S., et al.
Published: (2024)

Sampling with Shielded Langevin Monte Carlo Using Navigation Potentials
by: Zilberstein, Nicolas, et al.
Published: (2025)

Structured Optimal Variational Inference for Dynamic Latent Space Models
by: Zhao, Peng, et al.
Published: (2022)

Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
by: Marks, Joanna, et al.
Published: (2025)

Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints
by: Chi, Chris, et al.
Published: (2024)

Training Dynamics of Softmax Self-Attention: Fast Global Convergence via Preconditioning
by: Goel, Gautam, et al.
Published: (2026)

FlashMP: Fast Discrete Transform-Based Solver for Preconditioning Maxwell's Equations on GPUs
by: Zhang, Haoyuan, et al.
Published: (2025)