Most Cited 2025 "k-space data" Papers
22,274 papers found • Page 58 of 112
Conference
Quantum Doubly Stochastic Transformers
Jannis Born, Filip Skogh, Kahn Rhrissorrakrai et al.
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li, Minghao Fu, Junxian Huang et al.
Identity Preserving 3D Head Stylization with Multiview Score Distillation
Bahri Batuhan Bilecen, Ahmet Berke Gokmen, Furkan Güzelant et al.
Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation
Shaowei Liu, chuan guo, Bing Zhou et al.
SMGDiff: Soccer Motion Generation using Diffusion Probabilistic Models
Hongdi Yang, Chengyang Li, Zhenxuan Wu et al.
Detecting Generated Images by Fitting Natural Image Distributions
Yonggang Zhang, Jun Nie, Xinmei Tian et al.
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization
Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu et al.
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment
Yufei Zhu, Yiming Zhong, Zemin Yang et al.
FaceCraft4D: Animated 3D Facial Avatar Generation from a Single Image
Fei Yin, Mallikarjun Reddy, Chun-Han Yao et al.
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection
Anja Delić, Matej Grcic, Siniša Šegvić
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Yang Peng, Kaicheng Jin, Liangyu Zhang et al.
How Memory in Optimization Algorithms Implicitly Modifies the Loss
Matias Cattaneo, Boris Shigida
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Shyam Venkatasubramanian, Vahid Tarokh
GRIP: A Graph-Based Reasoning Instruction Producer
Jiankang Wang, Jianjun Xu, Xiaorui Wang et al.
Cost-aware LLM-based Online Dataset Annotation
Eray Can Elumar, Cem Tekin, Osman Yagan
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Mustafa Hajij, Lennart Bastian, Sarah Osentoski et al.
A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity
Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello
PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
Xinzhe Zheng, Hao Du, Fanding Xu et al.
Exploring the Translation Mechanism of Large Language Models
Hongbin Zhang, Kehai Chen, Xuefeng Bai et al.
The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub et al.
Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents
Zhizhen Zhang, Lei Zhu, Zhen Fang et al.
Transformers for Mixed-type Event Sequences
Felix Draxler, Yang Meng, Kai Nelson et al.
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
Hanlin Yu, Berfin Inal, Georgios Arvanitidis et al.
Dynamic Regret Reduces to Kernelized Static Regret
Andrew Jacobsen, Alessandro Rudi, Francesco Orabona et al.
Multi-Object Sketch Animation by Scene Decomposition and Motion Planning
Jingyu Liu, Zijie Xin, Yuhan Fu et al.
Distributionally Robust Performative Optimization
Zhuangzhuang Jia, Yijie Wang, Roy Dong et al.
Distributional Autoencoders Know the Score
Andrej Leban
Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs
Mana Sakai, Ryo Karakida, Masaaki Imaizumi
Diffusion Generative Modeling on Lie Group Representations
Marco Bertolini, Tuan Le, Djork-Arné Clevert
The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
Alex Damian, Jason Lee, Joan Bruna
Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework
Lan Luo, Chengchun Shi, Jitao Wang et al.
The Underappreciated Power of Vision Models for Graph Structural Understanding
Xinjian Zhao, Wei Pang, Zhongkai Xue et al.
FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
Tianle Li, Yongzhi Huang, Linshan Jiang et al.
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu, Haoxuan Li, Chunyuan Zheng et al.
Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
Alexander Bodard, Panagiotis Patrinos
Differentially Private Gomory-Hu Trees
Anders Aamand, Justin Chen, Mina Dalirrooyfard et al.
Unified Reinforcement and Imitation Learning for Vision-Language Models
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro et al.
AlphaFold Database Debiasing for Robust Inverse Folding
Cheng Tan, Zhenxiao Cao, Zhangyang Gao et al.
InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model
Junqi You, Chieh Lin, Weijie Lyu et al.
Probabilistic Token Alignment for Large Language Model Fusion
Runjia Zeng, James Liang, Cheng Han et al.
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
Zeyuan Liu, Zhihe Yang, Jiawei Xu et al.
Compute-Optimal Scaling for Value-Based Deep RL
Preston Fu, Oleh Rybkin, Zhiyuan (Paul) Zhou et al.
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
Sanjoy Chowdhury, Subrata Biswas, Sayan Nag et al.
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
Quan Shi, Carlos Jimenez, Shunyu Yao et al.
A Unified Framework for Motion Reasoning and Generation in Human Interaction
Jeongeun Park, Sungjoon Choi, Sangdoo Yun
What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
Keyon Vafa, Sarah Bentley, Jon Kleinberg et al.
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
Anna van Elst, Igor Colin, Stephan Clémençon
HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models
Haoran Li, Yingjie Qin, Baoyuan Ou et al.
EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models
Yufei Cai, Hu Han, Yuxiang Wei et al.
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
Zhiyang Xun, Shivam Gupta, Eric Price
NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting
Andrea Dunn Beltran, Daniel Rho, Marc Niethammer et al.
SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery
Zhenqi He, Yuanpei Liu, Kai Han
HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis
Heyuan Li, Kenkun Liu, Lingteng Qiu et al.
Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation
Yifu Luo, Xinhao Hu, Keyu Fan et al.
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
Tewodros W. Ayalew, Xiao Zhang, Kevin Y Wu et al.
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
Giacomo D'Amicantonio, Snehashis Majhi, Quan Kong et al.
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method
Ruiyang Ha, Songyi Jiang, Bin Li et al.
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar, Narendra Ahuja
Solving Instance Detection from an Open-World Perspective
Qianqian Shen, Yunhan Zhao, Nahyun Kwon et al.
GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language Instructions
Xiaomeng Chu, Jiajun Deng, Guoliang You et al.
RoboPearls: Editable Video Simulation for Robot Manipulation
Tao Tang, Likui Zhang, Youpeng Wen et al.
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
Qingming LIU, Zhen Liu, Dinghuai Zhang et al.
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
Subhojyoti Khastagir, KISHALAY DAS, Pawan Goyal et al.
One Filters All: A Generalist Filter For State Estimation
Shiqi Liu, Wenhan Cao, Chang Liu et al.
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
Itamar Harel, Yonathan Wolanowsky, Gal Vardi et al.
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
Ruiqi Wang, Hao Zhang
Set-LLM: A Permutation-Invariant LLM
Beni Egressy, Jan Stühmer
Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
Phuc Tran, Van Vu, Nisheeth K. Vishnoi
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
Tianle Zhang, Wanlong Fang, Jonathan Woo et al.
Flux4D: Flow-based Unsupervised 4D Reconstruction
Jingkang Wang, Henry Che, Yun Chen et al.
Training-Free Personalization via Retrieval and Reasoning on Fingerprints
Deepayan Das, Davide Talon, Yiming Wang et al.
Contextual Thompson Sampling via Generation of Missing Data
Kelly W Zhang, Tianhui Cai, Hongseok Namkoong et al.
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
Alan Arazi, Eilam Shapira, Roi Reichart
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
Akiyoshi Tomihari, Ryo Karakida
TAI3: Testing Agent Integrity in Interpreting User Intent
Shiwei Feng, Xiangzhe Xu, Xuan Chen et al.
Closed-Loop Transfer for Weakly-supervised Affordance Grounding
Jiajin Tang, Zhengxuan Wei, Ge Zheng et al.
A Geometrical Analysis of Kernel Ridge Regression and its Applications
Georgios Gavrilopoulos, Guillaume Lecué, Zong Shang
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians
Quankai Gao, Iliyan Georgiev, Tuanfeng Wang et al.
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
WEI-KAI CHANG, Rajiv Khanna
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
James Michaelov, Roger Levy, Benjamin Bergen
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding et al.
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
Anish Dhir, Cristiana Diaconu, Valentinian Lungu et al.
On Transferring Transferability: Towards a Theory for Size Generalization
Eitan Levin, Yuxin Ma, Mateo Diaz et al.
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu, Yixiong Zou, Jun Wang et al.
ReassembleNet: Learnable Keypoints and Diffusion for 2D Fresco Reconstruction
ADEELA ISLAM, Stefano Fiorini, Stuart James et al.
Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio et al.
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
Yihong Cao, Jiaming Zhang, Xu Zheng et al.
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
Lorenzo Magnino, Kai Shao, Zida Wu et al.
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.
Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling
Qirui Wu, Denys Iliash, Daniel Ritchie et al.
Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos
Chengbo Yuan, Geng Chen, Li Yi et al.
Fixed-Point RNNs: Interpolating from Diagonal to Dense
Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone et al.
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Yonggan Fu, Xin Dong, Shizhe Diao et al.
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
Jinxi Li, Ziyang Song, Bo Yang
Split Adaptation for Pre-trained Vision Transformers
Lixu Wang, Bingqi Shang, Yi Li et al.
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling
Eray Erturk, Saba Hashemi, Maryam Shanechi
Generalized Linear Mode Connectivity for Transformers
Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis et al.
MaGS: Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting
Shaojie Ma, Yawei Luo, Wei Yang et al.
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
Yanan Li, Fanxu Meng, Muhan Zhang et al.
S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning
Hanqing Zeng, Yinglong Xia, Zhuokai Zhao et al.
Open-World Drone Active Tracking with Goal-Centered Rewards
Haowei Sun, Jinwu Hu, Zhirui Zhang et al.
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
Francesco Cozzi, Marco Pangallo, Alan Perotti et al.
MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov et al.
CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy
Jiakai Zhang, Shouchen Zhou, Haizhao Dai et al.
Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
Salva Rühling Cachay, Miika Aittala, Karsten Kreis et al.
Passing the Driving Knowledge Test
Maolin Wei, Wanzhou Liu, Eshed Ohn-Bar
Scale-invariant attention
Ben Anson, Xi Wang, Laurence Aitchison
On the Convergence of Single-Timescale Actor-Critic
Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi et al.
MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation
Vladislav Bargatin, Egor Chistov, Alexander Yakovenko et al.
Training-Free Generation of Temporally Consistent Rewards from VLMs
Yinuo Zhao, Jiale Yuan, Zhiyuan Xu et al.
Image Editing As Programs with Diffusion Models
Yujia Hu, Songhua Liu, Zhenxiong Tan et al.
Rethinking Residual Distribution in Locate-then-Edit Model Editing
Xiaopeng Li, Shangwen Wang, Shasha Li et al.
Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models
Wei Chen, Xin Yan, Bin Wen et al.
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
Yufeng Jin, Vignesh Prasad, Snehal Jauhri et al.
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As, Chengrui (Ray) Qu, Benjamin Unger et al.
A Structure-aware and Motion-adaptive Framework for 3D Human Pose Estimation with Mamba
Ye Lu, Jie Wang, Jianjun Gao et al.
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs
Ruokai Yin, Yuhang Li, Donghyun Lee et al.
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
Kaiqi Jiang, Jeremy Cohen, Yuanzhi Li
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
Till Freihaut, Luca Viano, Volkan Cevher et al.
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?
Shouwei Ruan, Hanqing Liu, Yao Huang et al.
GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects
Yidi Shao, Mu Huang, Chen Change Loy et al.
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
Sangli Teng, Harry Zhang, David Jin et al.
Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge
Xiaogang Xu, Jiafei Wu, Qingsen Yan et al.
OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild
Hongyu Qu, Jianan Wei, Xiangbo Shu et al.
GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
Noah Krever, Jakub Cerny, Moise Blanchard et al.
Learning Dense Hand Contact Estimation from Imbalanced Data
Daniel Jung, Kyoung Mu Lee
Riemannian Consistency Model
Chaoran Cheng, Yusong Wang, Yuxin Chen et al.
Frequency Domain-Based Diffusion Model for Unpaired Image Dehazing
Chengxu Liu, Lu Qi, Jinshan Pan et al.
Learning to Insert for Constructive Neural Vehicle Routing Solver
Fu Luo, Xi Lin, Mengyuan Zhong et al.
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Róisín Luo, James McDermott, Colm O'Riordan
Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy
Rob Romijnders, Antti Koskela
Generalized Contrastive Learning for Universal Multimodal Retrieval
Jungsoo Lee, Janghoon Cho, Hyojin Park et al.
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation
Yiwen Tu, Pingbang Hu, Jiaqi Ma
Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models
Vahid Balazadeh, Mohammadmehdi Ataei, Hyunmin Cheong et al.
No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi et al.
Find A Winning Sign: Sign Is All We Need to Win the Lottery
Junghun Oh, Sungyong Baik, Kyoung Mu Lee
CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
Jianyu Wu, Yizhou Wang, Xiangyu Yue et al.
Simultaneous Motion And Noise Estimation with Event Cameras
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Risk-aware Direct Preference Optimization under Nested Risk Measure
Lijun Zhang, Lin Li, Yajie Qi et al.
Reward Reasoning Models
Jiaxin Guo, Zewen Chi, Li Dong et al.
Blackbox Model Provenance via Palimpsestic Membership Inference
Rohith Kuditipudi, Jing Huang, Sally Zhu et al.
Scaling Diffusion Transformers Efficiently via $\mu$P
Chenyu Zheng, Xinyu Zhang, Rongzhen Wang et al.
Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation
Hongyu Wen, Yiming Zuo, Venkat Subramanian et al.
Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
Kavana Venkatesh, Connor Dunlop, Pinar Yanardag
Hybrid-grained Feature Aggregation with Coare-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
Wenyao Zhang, Hongsi Liu, Bohan Li et al.
A Circular Argument: Does RoPE need to be Equivariant for Vision?
Chase van de Geijn, Timo Lüddecke, Polina Turishcheva et al.
MAP Estimation with Denoisers: Convergence Rates and Guarantees
Scott Pesme, Giacomo Meanti, Michael Arbel et al.
Composition and Alignment of Diffusion Models using Constrained Learning
Shervin Khalafi, Ignacio Hounie, Dongsheng Ding et al.
Hankel Singular Value Regularization for Highly Compressible State Space Models
Paul Schwerdtner, Jules Berman, Benjamin Peherstorfer
DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
Chieh Lin, Zhaoyang Lv, Songyin Wu et al.
Increasing the Utility of Synthetic Images through Chamfer Guidance
Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat et al.
ViUniT: Visual Unit Tests for More Robust Visual Programming
Artemis Panagopoulou, Honglu Zhou, silvio savarese et al.
A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications
Zhenyu Tao, Wei Xu, Xiaohu You
FFN Fusion: Rethinking Sequential Computation in Large Language Models
Akhiad Bercovich, Mohammed Dabbah, Omri Puny et al.
POCO: Scalable Neural Forecasting through Population Conditioning
Yu Duan, Hamza Chaudhry, Misha B Ahrens et al.
A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
Fitsum Gaim, Hoyun Song, Huije Lee et al.
GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds
Tingting Dan, Jiaqi Ding, Guorong Wu
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn et al.
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
Bryan Wong, Jongwoo Kim, Huazhu Fu et al.
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
Seongheon Park, Sharon Li
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
Xiaogang Jia, Qian Wang, Anrui Wang et al.
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image
Jijun Xiang, Xuan Zhu, Xianqi Wang et al.
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung, Hyoungseob Park, Patrick Rim et al.
Large Language Bayes
Justin Domke
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
Anthony Fuller, Yousef Yassin, Junfeng Wen et al.
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications
Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
Anas Barakat, Souradip Chakraborty, Peihong Yu et al.
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
Jingmin An, Yilong Song, Ruolin Yang et al.
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
Xuyang Zhong, Haochen Luo, Chen Liu
Activation-Guided Consensus Merging for Large Language Models
Yuxuan Yao, Shuqi LIU, Zehua Liu et al.
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai, Qingqing Ye, Xinwei Zhang et al.
Generative Modeling of Shape-Dependent Self-Contact Human Poses
Takehiko Ohkawa, Jihyun Lee, Shunsuke Saito et al.
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
Daolang Huang, Xinyi Wen, Ayush Bharti et al.
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
Byeonghu Na, Minsang Park, Gyuwon Sim et al.
Alignment of Large Language Models with Constrained Learning
Botong Zhang, Shuo Li, Ignacio Hounie et al.
RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction
Johannes Künzel, Anna Hilsmann, Peter Eisert
Can Large Language Models Master Complex Card Games?
Wei Wang, Fuqing Bie, Junzhe Chen et al.
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas, Deepti Ghadiyaram
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
Tianqi Qiao, Marie Maros
ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
Xinhao Luo, Zihan Liu, Yangjie Zhou et al.
Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models
Tiezheng Zhang, Yitong Li, Yu-Cheng Chou et al.
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
Lei Wang, Jieming Bian, Letian Zhang et al.
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
Han Yu, Kehan Li, Dongbai Li et al.
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos et al.
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
Shiting (Ginny) Xiao, Rishabh Kabra, Yuhang Li et al.
Continuous Simplicial Neural Networks
Aref Einizade, Dorina Thanou, Fragkiskos Malliaros et al.
Universal Causal Inference in a Topos
Sridhar Mahadevan
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
Pritam Sarkar, Ali Etemad
Availability-aware Sensor Fusion via Unified Canonical Space
Dong-Hee Paek, SEUNG-HYUN KONG
SD-KDE: Score-Debiased Kernel Density Estimation
Elliot Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee et al.
Tensor-Parallelism with Partially Synchronized Activations
Itay Lamprecht, Asaf Karnieli, Yair Hanani et al.
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
Felix Koehler, Nils Thuerey
Generate, Transduct, Adapt: Iterative Transduction with VLMs
Oindrila Saha, Logan Lawrence, Grant Horn et al.
PseudoMapTrainer: Learning Online Mapping without HD Maps
Christian Löwens, Thorben Funke, Jingchao Xie et al.
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs
Xudong Li, Mengdan Zhang, Peixian Chen et al.