:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Minsu, Gu, Jiayao, Yuan, Ye, Yun, Taeyoung, Liu, Zixuan, Bengio, Yoshua, Chen, Can
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.17286
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Local Search GFlowNets
by: Kim, Minsu, et al.
Published: (2023)

Active Attacks: Red-teaming LLMs via Adaptive Environments
by: Yun, Taeyoung, et al.
Published: (2025)

Learning to Scale Logits for Temperature-Conditional GFlowNets
by: Kim, Minsu, et al.
Published: (2023)

Adaptive teachers for amortized samplers
by: Kim, Minsu, et al.
Published: (2024)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization
by: Kim, Minsu, et al.
Published: (2024)

Improved Off-policy Reinforcement Learning in Biological Sequence Design
by: Kim, Hyeonah, et al.
Published: (2024)

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
by: Yun, Taeyoung, et al.
Published: (2024)

Design Editing for Offline Model-based Optimization
by: Yuan, Ye, et al.
Published: (2024)

Baking Symmetry into GFlowNets
by: Ma, George, et al.
Published: (2024)

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models
by: Venkatraman, Siddarth, et al.
Published: (2025)

Robust Guided Diffusion for Offline Black-Box Optimization
by: Chen, Can Sam, et al.
Published: (2024)

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
by: Lee, Jaewoo, et al.
Published: (2024)

Adaptive Inference-Time Scaling via Cyclic Diffusion Search
by: Lee, Gyubin, et al.
Published: (2025)

Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
by: Jiralerspong, Thomas, et al.
Published: (2026)

Latent Veracity Inference for Identifying Errors in Stepwise Reasoning
by: Kim, Minsu, et al.
Published: (2025)

Self-Evolving Curriculum for LLM Reasoning
by: Chen, Xiaoyin, et al.
Published: (2025)

Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors
by: Kim, Hyeonah, et al.
Published: (2026)

A Complexity-Based Theory of Compositionality
by: Elmoznino, Eric, et al.
Published: (2024)

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
by: Jiralerspong, Thomas, et al.
Published: (2025)

Structure-Aligned Protein Language Model
by: Chen, Can, et al.
Published: (2025)

Improved off-policy training of diffusion samplers
by: Sendera, Marcin, et al.
Published: (2024)

Relative Trajectory Balance is equivalent to Trust-PCL
by: Deleu, Tristan, et al.
Published: (2025)

On Generalization for Generative Flow Networks
by: Krichel, Anas, et al.
Published: (2024)

Interventional Causal Representation Learning
by: Ahuja, Kartik, et al.
Published: (2022)

Loop Corrections to the Training Error and Generalization Gap of Random Feature Models
by: Kim, Taeyoung
Published: (2026)

Efficient Causal Graph Discovery Using Large Language Models
by: Jiralerspong, Thomas, et al.
Published: (2024)

An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
by: Yun, Taeyoung, et al.
Published: (2024)

Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization
by: Yang, Yonghan, et al.
Published: (2026)

In-Context Parametric Inference: Point or Distribution Estimators?
by: Mittal, Sarthak, et al.
Published: (2025)

Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
by: Yun, Taeyoung, et al.
Published: (2025)

RL, but don't do anything I wouldn't do
by: Cohen, Michael K., et al.
Published: (2024)

GFlowNet Foundations
by: Bengio, Yoshua, et al.
Published: (2021)

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
by: Bartoldson, Brian, et al.
Published: (2025)

Sliding Window Recurrences for Sequence Models
by: Secrieru, Dragos, et al.
Published: (2025)

Analysis of Fourier Neural Operators via Effective Field Theory
by: Kim, Taeyoung
Published: (2025)

Discrete Probabilistic Inference as Control in Multi-path Environments
by: Deleu, Tristan, et al.
Published: (2024)

Diffusion Alignment as Variational Expectation-Maximization
by: Lee, Jaewoo, et al.
Published: (2025)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)

Trajectory Flow Matching with Applications to Clinical Time Series Modeling
by: Zhang, Xi, et al.
Published: (2024)

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
by: Liu, Zhen, et al.
Published: (2024)