Most Cited 2025 "squared error loss" Papers

Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion

Aleksandar Jevtić, Christoph Reich, Felix Wimbauer et al.

ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction

Jiabao Lei, Kewei Shi, Zhihao Liang et al.

Performative Validity of Recourse Explanations

Gunnar König, Hidde Fokkema, Timo Freiesleben et al.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Hengyuan Cao, Yutong Feng, Biao Gong et al.

LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders

Boyu Han, Qianqian Xu, Shilong Bao et al.

VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption

Tianxiong Zhong, Xingye Tian, Boyuan Jiang et al.

TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE

Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen et al.

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention

Qiyu Xu, Zhanxuan Hu, Yu Duan et al.

GenM3: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation

Junyu Shi, Lijiang LIU, Yong Sun et al.

PRVQL: Progressive Knowledge-guided Refinement for Robust Egocentric Visual Query Localization

Bing Fan, Yunhe Feng, Yapeng Tian et al.

Learning long range dependencies through time reversal symmetry breaking

Guillaume Pourcel, Maxence Ernoult

Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control

Sunguk Shin, Youngjoon Kim

Aligning Transformers with Continuous Feedback via Energy Rank Alignment

Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran et al.

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation

Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai et al.

When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack

Hanqing Liu, Shouwei Ruan, Yao Huang et al.

CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning

Fanxu Meng, Muhan Zhang

Scale Efficient Training for Large Datasets

Qing Zhou, Junyu Gao, Qi Wang

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking

Sicheng Shen, Dongcheng Zhao, Linghao Feng et al.

Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab

Haonan Duan, Stephen Lu, Caitlin F Harrigan et al.

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models

Zerui Tao, Yuhta Takida, Naoki Murata et al.

DiffDoctor: Diagnosing Image Diffusion Models Before Treating

Yiyang Wang, Xi Chen, Xiaogang Xu et al.

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning

Xinyao Liu, Diping Song

Hallucinatory Image Tokens: A Training-free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs

Liwei Che, Qingze T Liu, Jing Jia et al.

ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts

Yuanchen Wu, Junlong Du, Ke Yan et al.

A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization

Chi-Jui Ho, Yash Belhe, Steve Rotenberg et al.

Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation

HIroyasu Akada, Jian Wang, Vladislav Golyanik et al.

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models

Xuan Liu, Siru Ouyang, Xianrui Zhong et al.

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning

Lin Zhang, Xianfang Zeng, Kangcong Li et al.

Free-Lunch Color-Texture Disentanglement for Stylized Image Generation

Jiang Qin, Alexandra Gomez-Villa, Senmao Li et al.

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

Tianyi Bai, Yuxuan Fan, Qiu Jiantao et al.

BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.

CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models

Quang-Binh Nguyen, Minh Luu, Quang Nguyen et al.

Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification

Kunlun Xu, Fan Zhuo, Jiangmeng Li et al.

On the Coexistence and Ensembling of Watermarks

Aleksandar Petrov, Shruti Agarwal, Philip Torr et al.

Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving

Zixian Guo, Ming Liu, Qilong Wang et al.

SMMILE: An expert-driven benchmark for multimodal medical in-context learning

Melanie Rieff, Maya Varma, Ossian Rabow et al.

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning

Haoran Li, CHENHAN XIAO, Muhao Guo et al.

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding

Yuchen Ma, Dennis Frauen, Jonas Schweisthal et al.

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance

Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann et al.

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint

Guangkun Nie, Gongzheng Tang, Shenda Hong

Multi-focal Conditioned Latent Diffusion for Person Image Synthesis

Jiaqi Liu, Jichao Zhang, Paolo Rota et al.

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Yu Gui, Cong Ma, Zongming Ma

R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

Zefan Cai, Wen Xiao, Hanshi Sun et al.

Invisible Backdoor Attack against Self-supervised Learning

Hanrong Zhang, Zhenting Wang, Boheng Li et al.

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown

Emile Anand, Sarah Liaw

Joint Diffusion Models in Continual Learning

Paweł Skierś, Kamil Deja

GT-Loc: Unifying When and Where in Images through a Joint Embedding Space

David G. Shatwell, Ishan Rajendrakumar Dave, Swetha Sirnam et al.

Credal Prediction based on Relative Likelihood

Timo Löhr, Paul Hofman, Felix Mohr et al.

ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment

Chong Xia, Shengjun Zhang, Fangfu Liu et al.

Is `Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning

JiHyeok Jung, EunTae Kim, SeoYeon Kim et al.

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents

Zhenyu Zhang, Tianyi Chen, Weiran Xu et al.

Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties

Jiyoung Lee, Seungho Kim, Jieun Han et al.

Demystifying Spectral Feature Learning for Instrumental Variable Regression

Dimitri Meunier, Antoine Moulin, Jakub Wornbard et al.

ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-based Process Judges

Jiaxin Ai, Pengfei Zhou, xu Pan et al.

Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design

Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning

Wenxuan Bao, Ruxi Deng, Ruizhong Qiu et al.

AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing

Niu Lian, Jun Li, Jinpeng Wang et al.

Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space

Zhengrui Ma, Yang Feng, Chenze Shao et al.

SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion

Xiyue Guo, Jiarui Hu, Junjie Hu et al.

Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation

Jiaer Xia, Bingkui Tong, Yuhang Zang et al.

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests

Shiyi Xu, Hu Yiwen, Yingqian Min et al.

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations

Vivek Myers, Bill Zheng, Benjamin Eysenbach et al.

Video Individual Counting for Moving Drones

Yaowu Fan, Jia Wan, Tao Han et al.

Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video

Xueyang Yu, Cheng Shi, Yang Wang et al.

TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation

Jiaben Chen, Zixin Wang, AILING ZENG et al.

SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models

Ye Sun, Hao Zhang, Henghui Ding et al.

LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding

Amirhossein Kazerouni, Soroush Mehraban, Michael Brudno et al.

CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness

Zhihang Liu, Chen-Wei Xie, Bin Wen et al.

MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation

Sankalp Sinha, Mohammad Sadil Khan, Muhammad Usama et al.

Moderating the Generalization of Score-based Generative Model

Wan Jiang, He Wang, Xin Zhang et al.

Charm: The Missing Piece in ViT Fine-Tuning for Image Aesthetic Assessment

Fatemeh Behrad, Tinne Tuytelaars, Johan Wagemans

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision

Chensheng Peng, Ido Sobol, Masayoshi Tomizuka et al.

GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection

Pingbang Hu, Joseph Melkonian, Weijing Tang et al.

Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion

Qing-Yuan Jiang, Longfei Huang, Yang Yang

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?

Atharva Gundawar, Som Sagar, Ransalu Senanayake

Open-set Cross Modal Generalization via Multimodal Unified Representation

Hai Huang, Yan Xia, Shulei Wang et al.

KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity

Gholamali Aminian, Amir R. Asadi, Idan Shenfeld et al.

Normalization in Attention Dynamics

Nikita Karagodin, Shu Ge, Yury Polyanskiy et al.

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation

Qing Yu, Xiaobei Wang, Shuchang Liu et al.

Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing

XianJun, Davin Choo, Yuqi Pan, Tonghan Wang et al.

On the creation of narrow AI: hierarchy and nonlocality of neural network skills

Eric Michaud, Asher Parker-Sartori, Max Tegmark

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach

Dandan Liang, Jianing Zhang, Evan Chen et al.

PETRA: Parallel End-to-end Training with Reversible Architectures

Stéphane Rivaud, Louis Fournier, Thomas Pumir et al.

Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads

Yingjie Zhou, Jiezhang Cao, Zicheng Zhang et al.

Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking

Ting Han, Linara Adilova, Henning Petzka et al.

Seeing the Abstract: Translating the Abstract Language for Vision Language Models

Davide Talon, Federico Girella, Ziyue Liu et al.

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics

Licong Lin, Song Mei

VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions

Marko Mihajlovic, Siwei Zhang, Gen Li et al.

Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe

Chong You, Rajesh Jayaram, Ananda Theertha Suresh et al.

Balanced Conic Rectified Flow

Kim Shin seong, Mingi Kwon, Jaeseok Jeong et al.

Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers

Andrew Nam, Henry Conklin, Yukang Yang et al.

EA-KD: Entropy-based Adaptive Knowledge Distillation

Chi-Ping Su, Ching-Hsun Tseng, Bin Pu et al.

Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems

Minchan Jeong, Jongha (Jon) Ryu, Se-Young Yun et al.

AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise

Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson et al.

CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays

Hyungyung Lee, Geon Choi, Jung-Oh Lee et al.

MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling

Nguyen Thach, Patrick Habecker, Anika Eisenbraun et al.

Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs

Zhehao Li, Zhehao Li, Kangbo Lyu et al.

Reinforced Context Order Recovery for Adaptive Reasoning and Planning

Long Ma, Fangwei Zhong, Yizhou Wang

I Am Big, You Are Little; I Am Right, You Are Wrong

David A Kelly, Akchunya Chanchal, Nathan Blake

HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving

Zhiwen Chen, Hanming Deng, Zhuoren Li et al.

SparseDiT: Token Sparsification for Efficient Diffusion Transformer

Shuning Chang, Pichao WANG, Jiasheng Tang et al.

GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion

Beibei Lin, Tingting Chen, Robby Tan

Non-stationary Bandit Convex Optimization: A Comprehensive Study

Xiaoqi Liu, Dorian Baudry, Julian Zimmert et al.

Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions

Longfei Li, Zhiwen Fan, Wenyan Cong et al.

From Sequence to Structure: Uncovering Substructure Reasoning in Transformers

Xinnan Dai, Kai Yang, Jay Revolinsky et al.

DiTaiListener: Controllable High Fidelity Listener Video Generation with Diffusion

Maksim Siniukov, Di Chang, Minh Tran et al.

EA-Vit: Efficient Adaptation for Elastic Vision Transformer

Chen Zhu, Wangbo Zhao, Huiwen Zhang et al.

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery

Xiao Liu, Nan Pu, Haiyang Zheng et al.

Tiled Diffusion

Or Madar, Ohad Fried

Memory-Efficient 4-bit Preconditioned Stochastic Optimization

Jingyang Li, Kuangyu Ding, Kim-chuan Toh et al.

Taming generative video models for zero-shot optical flow extraction

Seungwoo Kim, Khai Loong Aw, Klemen Kotar et al.

Associative Transformer

Yuwei Sun, Hideya Ochiai, Zhirong Wu et al.

On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling

Moritz Haas, Sebastian Bordt, Ulrike Luxburg et al.

Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration

Yuyang Hu, Kangfu Mei, Mojtaba Ardakani et al.

AdaDrive: Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving

Ruifei Zhang, Junlin Xie, Wei Zhang et al.

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models

Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo

CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning

Man Ho Lam, Chaozheng Wang, Jen-Tse Huang et al.

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens

Suchisrit Gangopadhyay, Jung Hee Kim, Xien Chen et al.

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment

Armin Shafiee Sarvestani, Sheyang Tang, Zhou Wang

Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization

Shogo Iwazaki

AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models

Kwan Yun, Seokhyeon Hong, Chaelin Kim et al.

Graph-based Document Structure Analysis

Yufan Chen, Ruiping Liu, Junwei Zheng et al.

LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space

Zhangyu Wang, Zeping Liu, Jielu Zhang et al.

Towards Fully FP8 GEMM LLM Training at Scale

Alejandro Hernández Cano, Dhia Garbaya, Imanol Schlag et al.

On the Robustness of Transformers against Context Hijacking for Linear Classification

Tianle Li, Chenyang Zhang, Xingwu Chen et al.

RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers

Ahmet Berke Gökmen, Yiğit Ekin, Bahri Batuhan Bilecen et al.

Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries

Haoxiang Wang, Zinan Lin, Da Yu et al.

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors

Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski

Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity

Zichen Liu, Wei Zhang, Tiejun Li

Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge

Nimrod Berman, Omkar Joglekar, Eitan Kosman et al.

World-aware Planning Narratives Enhance Large Vision-Language Model Planner

Junhao Shi, Zhaoye Fei, Siyin Wang et al.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Zhiyuan Liang, Dongwen Tang, Yuhao Zhou et al.

ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos

Zetong Zhang, Manuel Kaufmann, Lixin Xue et al.

Probably Approximately Precision and Recall Learning

Lee Cohen, Yishay Mansour, Shay Moran et al.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought

Guanghao Li, Wenhao Jiang, Mingfeng Chen et al.

ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail

Chandan Yeshwanth, David Rozenberszki, Angela Dai

LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models

Qianyue Hao, Yiwen Song, Qingmin Liao et al.

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction

Danhui Chen, Ziquan Liu, Chuxi Yang et al.

Scaling Language-centric Omnimodal Representation Learning

Chenghao Xiao, Hou Pong (Ken) Chan, Hao Zhang et al.

FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning

qian feng, Jiahang Tu, Mintong Kang et al.

Human-assisted Robotic Policy Refinement via Action Preference Optimization

Wenke Xia, Yichu Yang, Hongtao Wu et al.

Underwater Visual SLAM with Depth Uncertainty and Medium Modeling

Rui Liu, Sheng Fan, Wenguan Wang et al.

Low Rank Gradients and Where to Find Them

Rishi Sonthalia, Michael Murray, Guido Montufar

EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions

Xiaorui Wu, Fei Li, Xiaofeng Mao et al.

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees

Sourav Ganguly, Kishan Panaganti, Arnob Ghosh et al.

ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding

Qihang Peng, Henry Zheng, Gao Huang

Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation

Nadav Z. Cohen, Oron Nir, Ariel Shamir

AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees

Hongyi Zhou, Jin Zhu, Pingfan Su et al.

Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator

Peiwen Yuan, Yiwei Li, Shaoxiong Feng et al.

A Unified Framework for the Transportability of Population-Level Causal Measures

Ahmed Boughdiri, Clément Berenfeld, Julie Josse et al.

Visual Modality Prompt for Adapting Vision-Language Object Detectors

Heitor Rapela Medeiros, Atif Belal, Srikanth Muralidharan et al.

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers

Lukas Kuhn, sari sadiya, Jörg Schlötterer et al.

Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging

Behrooz Tahmasebi, Stefanie Jegelka

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets

Marianna Nezhurina, Tomer Porian, Giovanni Puccetti et al.

Quantifying Cross-Modality Memorization in Vision-Language Models

Yuxin Wen, Yangsibo Huang, Tom Goldstein et al.

Learning from positive and unlabeled examples -Finite size sample bounds

Farnam Mansouri, Shai Ben-David

Mitigating Ambiguities in 3D Classification with Gaussian Splatting

Ruiqi Zhang, Hao Zhu, Jingyi Zhao et al.

I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions

Shuhong Liu, Lin Gu, Ziteng Cui et al.

AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding

Chaeyoung Jung, Youngjoon Jang, Joon Son Chung

Attention! Your Vision Language Model Could Be Maliciously Manipulated

Xiaosen Wang, Shaokang Wang, Zhijin Ge et al.

Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs

Yuheng Zhang, Nan Jiang

ReDi: Rectified Discrete Flow

Jaehoon Yoo, Wonjung Kim, Seunghoon Hong

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models

Taha Entesari, Arman Hatami, Rinat Khaziev et al.

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

Shaojie Zhang, Ruoceng Zhang, Pei Fu et al.

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu, Shenggan Cheng, Guangming Tan et al.

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive

Tyler Farghly, Peter Potaptchik, Samuel Howard et al.

Bisimulation Metric for Model Predictive Control

Yutaka Shimizu, Masayoshi Tomizuka

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning

Weijian Mai, Jiamin Wu, Yu Zhu et al.

Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention

Arya Honarpisheh, Mustafa Bozdag, Octavia Camps et al.

Who Reasons in the Large Language Models?

Jie Shao, Jianxin Wu

RoboTron-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction

Yufeng Zhong, Chengjian Feng, Feng yan et al.

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

Zhiheng Xi, Guanyu Li, Yutao Fan et al.

SkyLadder: Better and Faster Pretraining via Context Window Scheduling

Tongyao Zhu, Qian Liu, Haonan Wang et al.

VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding

Minchao Jiang, Shunyu Jia, Jiaming Gu et al.

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling

Jinhyung Park, Javier Romero, Shunsuke Saito et al.

VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models

Haichao Zhang, Yun Fu

On the Generalization of Representation Uncertainty in Earth Observation

Spyros Kondylatos, Nikolaos Ioannis Bountos, Dimitrios Michail et al.

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

Rong Wang, Fabian Prada, Ziyan Wang et al.

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models

Jiaheng Dong, Hong Jia, Soumyajit Chatterjee et al.

Predict-Optimize-Distill: A Self-Improving Cycle for 4D Object Understanding

Mingxuan Wu, Huang Huang, Justin Kerr et al.

Distribution-Free Data Uncertainty for Neural Network Regression

Domokos M. Kelen, Ádám Jung, Péter Kersch et al.

Learning (Approximately) Equivariant Networks via Constrained Optimization

Andrei Manolache, Luiz Chamon, Mathias Niepert

Jigsaw++: Imagining Complete Shape Priors for Object Reassembly

Jiaxin Lu, Gang Hua, Qixing Huang

Language Modeling by Language Models

Junyan Cheng, Peter Clark, Kyle Richardson

Second-Order Convergence in Private Stochastic Non-Convex Optimization

Youming Tao, Zuyuan Zhang, Dongxiao Yu et al.

Disentangled Clothed Avatar Generation with Layered Representation

Weitian Zhang, Yichao Yan, Sijing Wu et al.

Mixture-of-Experts Meets In-Context Reinforcement Learning

Wenhao Wu, Fuhong Liu, Haoru Li et al.

HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis

Xiaoyuan Wang, Yizhou Zhao, Botao Ye et al.

ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers

Nicholas DiBrita, Jason Han, Tirthak Patel

Contrastive Representations for Temporal Reasoning

Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski et al.

Emergence of Linear Truth Encodings in Language Models

Shauli Ravfogel, Gilad Yehudai, Tal Linzen et al.

Monitoring Risks in Test-Time Adaptation

Mona Schirmer, Metod Jazbec, Christian Andersson Naesseth et al.

Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks

Artem Nikonorov, Georgy Perevozchikov, Andrei Korepanov et al.

Learning to price with resource constraints: from full information to machine-learned prices

Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

Avoiding exp(R) scaling in RLHF through Preference-based Exploration

Mingyu Chen, Yiding Chen, Wen Sun et al.

Hierarchical-aware Orthogonal Disentanglement Framework for Fine-grained Skeleton-based Action Recognition

Haochen Chang, Pengfei Ren, Haoyang Zhang et al.

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations

Fabian Paischer, Gianluca Galletti, William Hornsby et al.

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

Binxu Wang, Cengiz Pehlevan

More of the Same: Persistent Representational Harms Under Increased Representation

Jennifer Mickel, Maria De-Arteaga, Liu Leqi et al.