:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ye, Haotian, Zheng, Kaiwen, Xu, Jiashu, Li, Puheng, Chen, Huayu, Han, Jiaqi, Liu, Sheng, Zhang, Qinsheng, Mao, Hanzi, Hao, Zekun, Chattopadhyay, Prithvijit, Yang, Dinghao, Feng, Liang, Liao, Maosheng, Bai, Junjie, Liu, Ming-Yu, Zou, James, Ermon, Stefano
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.04332
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
by: Han, Jiaqi, et al.
Published: (2025)

DiffusionNFT: Online Diffusion Reinforcement with Forward Process
by: Zheng, Kaiwen, et al.
Published: (2025)

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
by: Han, Jiaqi, et al.
Published: (2026)

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression
by: Ye, Haotian, et al.
Published: (2025)

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
by: Zheng, Kaiwen, et al.
Published: (2024)

NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning
by: Chen, Huayu, et al.
Published: (2025)

TFG: Unified Training-Free Guidance for Diffusion Models
by: Ye, Haotian, et al.
Published: (2024)

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
by: Zheng, Kaiwen, et al.
Published: (2025)

Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
by: Han, Jiaqi, et al.
Published: (2025)

Geometric Trajectory Diffusion Models
by: Han, Jiaqi, et al.
Published: (2024)

Editorial for “Deep Learning‐Based Brainstem Segmentation and Multi‐Class Classification for Parkinsonian Syndrome”
by: Prithvijit Chakraborty
Published: (2025)

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
by: Zheng, Kaiwen, et al.
Published: (2025)

Scalable Policy Evaluation with Video World Models
by: Tseng, Wei-Cheng, et al.
Published: (2025)

FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee
by: Li, Puheng, et al.
Published: (2022)

AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
by: Chattopadhyay, Prithvijit, et al.
Published: (2023)

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
by: Khose, Sahil, et al.
Published: (2023)

Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation
by: Iyengar, Aniketh, et al.
Published: (2025)

Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement
by: Dang, Meihua, et al.
Published: (2025)

Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)

We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
by: Kareer, Simar, et al.
Published: (2024)

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
by: Zhao, Wanjia, et al.
Published: (2025)

RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
by: Fan, Jiaojiao, et al.
Published: (2024)

REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization
by: He, Qiyuan, et al.
Published: (2025)

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling
by: Li, Yitong, et al.
Published: (2026)

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation
by: Tang, Jiaxiang, et al.
Published: (2024)

Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding
by: Guo, Gabe, et al.
Published: (2025)

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
by: Cundy, Chris, et al.
Published: (2023)

Die Ordnung des Theaters. Eine Soziologie der Regie
by: Hänzi, Denis
Published: (2015)

Divergence Minimization Preference Optimization for Diffusion Model Alignment
by: Li, Binxu, et al.
Published: (2025)

$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
by: Han, Jiaqi, et al.
Published: (2024)

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
by: Kazdan, Joshua, et al.
Published: (2024)

Robust Sampling for Active Statistical Inference
by: Li, Puheng, et al.
Published: (2025)

Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
by: Zhan, Keyao, et al.
Published: (2025)

Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity
by: Lin, Zhanran, et al.
Published: (2024)

RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
by: Chen, Tianlang, et al.
Published: (2025)

78‐3: High Picture Quality of LCD via WHVA Technology
by: Jing Liu, et al.
Published: (2025)

Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
by: Guo, Hanyu, et al.
Published: (2024)

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control
by: Chen, Huayu, et al.
Published: (2024)

Conformal Scalar-Flat Metrics with Prescribed Boundary Mean Curvature
by: Shen, Jiashu, et al.
Published: (2024)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
by: Liu, Sheng, et al.
Published: (2023)