:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Su, Maojiang, Lu, Mingcheng, Hu, Jerry Yao-Chieh, Wu, Shang, Song, Zhao, Reneau, Alex, Liu, Han
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.22623
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discrete Flow Matching Policy Optimization
by: Su, Maojiang, et al.
Published: (2026)

On Flow Matching KL Divergence
by: Su, Maojiang, et al.
Published: (2025)

Differentially Private Kernel Density Estimation
by: Liu, Erzhi, et al.
Published: (2024)

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

Transformer Approximations from ReLUs
by: Hu, Jerry Yao-Chieh, et al.
Published: (2026)

Fast and Low-Cost Genomic Foundation Models via Outlier Removal
by: Luo, Haozheng, et al.
Published: (2025)

On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

In-Context Deep Learning via Transformer Models
by: Wu, Weimin, et al.
Published: (2024)

Attention Mechanism, Max-Affine Partition, and Universal Approximation
by: Liu, Hude, et al.
Published: (2025)

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
by: Reneau, Alex, et al.
Published: (2025)

Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
by: Wu, Dennis, et al.
Published: (2024)

On Differentially Private String Distances
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

Nonparametric Modern Hopfield Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

In-Context Algorithm Emulation in Fixed-Weight Transformers
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)

Universal Approximation with Softmax Attention
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)

Are Hallucinations Bad Estimations?
by: Liu, Hude, et al.
Published: (2025)

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

Fisher Flow Matching for Generative Modeling over Discrete Data
by: Davis, Oscar, et al.
Published: (2024)

Discrete Flow Matching
by: Gat, Itai, et al.
Published: (2024)

Attention-Guided Flow-Matching for Sparse 3D Geological Generation
by: Lu, Zhixiang, et al.
Published: (2026)

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
by: Wu, Dennis, et al.
Published: (2023)

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
by: Xu, Chenwei, et al.
Published: (2024)

Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries
by: Yu, Jiahao, et al.
Published: (2024)

Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion
by: Lu, Haoran, et al.
Published: (2026)

Deconstructing Generative Diversity: An Information Bottleneck Analysis of Discrete Latent Generative Models
by: Wu, Yudi, et al.
Published: (2025)

Adaptive traffic signal control optimization using a novel road partition and multi-channel state representation method
by: Deng, Maojiang, et al.
Published: (2026)

Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
by: Long, Jiangxuan, et al.
Published: (2025)

SDFlow: Similarity-Driven Flow Matching for Time Series Generation
by: Li, Wei, et al.
Published: (2026)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
by: Shaul, Neta, et al.
Published: (2024)

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling
by: Panjing, He, et al.
Published: (2025)

EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching
by: Li, Ziyun, et al.
Published: (2025)

Discrete Flow Matching for Offline-to-Online Reinforcement Learning
by: Khan, Fairoz Nower, et al.
Published: (2026)

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
by: Wang, Ziqing, et al.
Published: (2025)

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
by: Zhang, Junru, et al.
Published: (2026)

Decoupled Alignment for Robust Plug-and-Play Adaptation
by: Luo, Haozheng, et al.
Published: (2024)