Most Cited 2025 "k-space data" Papers
22,274 papers found • Page 59 of 112
Conference
DIP: Unsupervised Dense In-Context Post-training of Visual Representations
Sophia Sirko-Galouchenko, Spyros Gidaris, Antonin Vobecky et al.
MAVias: Mitigate any Visual Bias
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos et al.
Purifying Approximate Differential Privacy with Randomized Post-processing
Yingyu Lin, Erchi Wang, Yian Ma et al.
Evading Data Provenance in Deep Neural Networks
Hongyu Zhu, Sichu Liang, Wenwen Wang et al.
Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs
Yifan Wei, Xiaoyan Yu, Tengfei Pan et al.
Generalizing while preserving monotonicity in comparison-based preference learning models
Julien Fageot, Peva Blanchard, Gilles Bareilles et al.
Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
Daniel Cao, August Chen, Karthik Sridharan et al.
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout et al.
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
Li Ju, Max Andersson, Stina Fredriksson et al.
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
Seongsu Kim, Nayoung Kim, Dongwoo Kim et al.
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
Arthur Bizzi, Matias Grynberg Portnoy, Vitor Pereira Matias et al.
Hadamax Encoding: Elevating Performance in Model-Free Atari
Jacob Eeuwe Kooi, Zhao Yang, Vincent Francois-Lavet
Modeling the Economic Impacts of AI Openness Regulation
Tori Qiu, Benjamin Laufer, Jon Kleinberg et al.
MMOne: Representing Multiple Modalities in One Scene
Zhifeng Gu, Bing WANG
Web Artifact Attacks Disrupt Vision Language Models
Maan Qraitem, Piotr Teterwak, Kate Saenko et al.
Fast Globally Optimal and Geometrically Consistent 3D Shape Matching
Paul Roetzer, Florian Bernard
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
Jiaye Qian, Ge Zheng, Yuchen Zhu et al.
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
Shijun Liang, Ismail Alkhouri, Siddhant Gautam et al.
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang, Xiaolei Wang, Yizheng Gong et al.
Improved Scaling Laws in Linear Regression via Data Reuse
Licong Lin, Jingfeng Wu, Peter Bartlett
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
Gyubin Lee, Bao Truong, Jaesik Yoon et al.
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation
Hao Ban, Gokul Ram Subramani, Kaiyi Ji
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
Kaito Takanami, Takashi Takahashi, Ayaka Sakata
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
Xiao Yu, Yan Fang, Yao Zhao et al.
Selective Learning for Deep Time Series Forecasting
Yisong Fu, Zezhi Shao, Chengqing Yu et al.
PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection
Mahdiyar Molahasani, Azadeh Motamedi, Michael Greenspan et al.
ShiQ: Bringing back Bellman to LLMs
Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos et al.
Optimal Rates in Continual Linear Regression via Increasing Regularization
Ran Levinstein, Amit Attia, Matan Schliserman et al.
HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
Insu Lee, Wooje Park, Jaeyun Jang et al.
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix Nielsen, Emanuele Marconato, Andrea Dittadi et al.
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
Achleshwar Luthra, Tianbao Yang, Tomer Galanti
Intrepretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
Shiming Chen, Bowen Duan, Salman Khan et al.
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
Jiawei Gu, Ziyue Qiao, Zechao Li
Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
Mumin Jia, Jairo Diaz-Rodriguez
Compositional Reasoning with Transformers, RNNs, and Chain of Thought
Gilad Yehudai, Noah Amsel, Joan Bruna
Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
Qiang Fu, Andre Wibisono
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts
Dario Fenoglio, Mohan Li, Pietro Barbiero et al.
ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
Zhengzhuo Xu, Sinan Du, Yiyan Qi et al.
Plasticity as the Mirror of Empowerment
David Abel, Michael Bowling, Andre Barreto et al.
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
Chantal Shaib, Vinith Suriyakumar, Byron Wallace et al.
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
Runkai Zheng, Vishnu Dasu, Yinong Wang et al.
Counterfactual reasoning: an analysis of in-context emergence
Moritz Miller, Bernhard Schölkopf, Siyuan Guo
Streaming Attention Approximation via Discrepancy Theory
Ekaterina Kochetkova, Kshiteej Jitesh Sheth, Insu Han et al.
Data Fusion for Partial Identification of Causal Effects
Quinn Lanners, Cynthia Rudin, Alexander Volfovsky et al.
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
Zechen Wu, Amy Greenwald, Ronald Parr
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
zhentao he, Can Zhang, Ziheng Wu et al.
A Partition Cover Approach to Tokenization
Jia Peng Lim, Shawn Tan, XianJun, Davin Choo et al.
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
Qiming Hu, Linlong Fan, Yiyan Luo et al.
A Theory for Worst-Case vs. Average-Case Guarantees for LLMs
Noga Amit, Shafi Goldwasser, Orr Paradise et al.
On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
Till Freihaut, Giorgia Ramponi
Rational Decision-Making Agent with Learning Internal Utility Judgment
Yining Ye, Xin Cong, Shizuo Tian et al.
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
Bowei Guo, Shengkun Tang, Cong Zeng et al.
MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers
Yang Tian, Zheng Lu, Mingqi Gao et al.
From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
Zhida Zhao, Talas Fu, Yifan Wang et al.
Differentiable Room Acoustic Rendering with Multi-View Vision Priors
Derong Jin, Ruohan Gao
Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems
Lorenzo Baldassari, Josselin Garnier, Knut Solna et al.
A Clean Slate for Offline Reinforcement Learning
Matthew T Jackson, Uljad Berdica, Jarek Liesen et al.
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
Seonghwan Park, Jueun Mun, Donghyun Oh et al.
The Primacy of Magnitude in Low-Rank Adaptation
Zicheng Zhang, Haoran Li, Yifeng Zhang et al.
Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation
Jhe-Hao Lin, Yi Yao, Chan-Feng Hsu et al.
Emergent Risk Awareness in Rational Agents under Resource Constraints
Daniel Jarne Ornia, Nicholas Bishop, Joel Dyer et al.
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
Ziqi Yuan, Haoyang Zhang, Yirui Zhou et al.
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers
Bhavna Gopal, Huanrui Yang, Mark Horton et al.
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
Linyang He, Tianjun Zhong, Richard Antonello et al.
Representation Consistency for Accurate and Coherent LLM Answer Aggregation
Junqi Jiang, Tom Bewley, Salim I. Amoukou et al.
SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders
Zhuohao Yu, Xingru Jiang, Weizheng Gu et al.
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
Miruna Oprescu, David Park, Xihaier Luo et al.
Robo2VLM: Improving Visual Question Answering using Large-Scale Robot Manipulation Data
Kaiyuan Eric Chen, Shuangyu Xie, Zehan Ma et al.
What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers
Pulkit Gopalani, Wei Hu
Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification
Simone Azeglio, Olivier Marre, Peter Neri et al.
TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
Danqing Wang, Jianxin Ma, Fei Fang et al.
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
Christopher Yeh, Nicolas Christianson, Adam Wierman et al.
Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
Yanghao Wang, Long Chen
Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting
Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva et al.
Variational Supervised Contrastive Learning
Ziwen Wang, Jiajun Fan, Thao Nguyen et al.
Identification of Intermittent Temporal Latent Process
Yuke Li, Yujia Zheng, Guangyi Chen et al.
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
Pau Rodriguez, Michal Klein, Eleonora Gualdoni et al.
Group-Level Data Selection for Efficient Pretraining
Zichun Yu, Fei Peng, Jie Lei et al.
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
Zihao Fu, Ryan Brown, Shun Shao et al.
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar et al.
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Jiale Deng, Yanyan Shen, Ziyuan Pei et al.
Feedback-Aware MCTS for Goal-Oriented Information Seeking
Harshita Chopra, Chirag Shah
Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs
Zhixin Xie, Xurui Song, Jun Luo
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz et al.
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
Sam Bright-Thonney, Christina Reissel, Gaia Grosso et al.
Optimism Without Regularization: Constant Regret in Zero-Sum Games
John Lazarsfeld, Georgios Piliouras, Ryann Sim et al.
Online Generic Event Boundary Detection
Hyung Rok Jung, Daneul Kim, Seunggyun Lim et al.
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Zhongzheng Qiao, Chenghao Liu, Yiming Zhang et al.
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
Yousef Al-Jazzazi, Haya Diwan, Jinrui Gou et al.
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference
Wenxuan Zeng, Ye Dong, Jinjin Zhou et al.
CAFA: a Controllable Automatic Foley Artist
Roi Benita, Michael Finkelson, Tavi Halperin et al.
Exploiting Deblurring Networks for Radiance Fields
Haeyun Choi, Heemin Yang, Janghyeok Han et al.
SAS: Simulated Attention Score
Chuanyang Zheng, Jiankai Sun, Yihang Gao et al.
Many LLMs Are More Utilitarian Than One
Anita Keshmirian, Razan Baltaji, Babak Hemmatian et al.
COOPERA: Continual Open-Ended Human-Robot Assistance
Chenyang Ma, Kai Lu, Ruta Desai et al.
PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpening
Jeonghyeok Do, Sungpyo Kim, Geunhyuk Youk et al.
Solver-Free Decision-Focused Learning for Linear Optimization Problems
Senne Berden, Ali Mahmutoğulları, Dimos Tsouros et al.
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
Junsoo Oh, Jerry Song, Chulhee Yun
Trust but Verify: Programmatic VLM Evaluation in the Wild
Viraj Prabhu, Senthil Purushwalkam, An Yan et al.
FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
yong zhang, Feng Liang, Guanghu Yuan et al.
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
Harsh Poonia, Felix Divo, Kristian Kersting et al.
Differentially Private Quantiles with Smaller Error
Jacob Imola, Fabrizio Boninsegna, Hannah Keller et al.
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
Rui Xu, Dakuan Lu, Zicheng Zhao et al.
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Jiaming Liu, Linghe Kong, Guihai Chen
SAS: Segment Any 3D Scene with Integrated 2D Priors
Zhuoyuan Li, Jiahao Lu, Jiacheng Deng et al.
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding
Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha et al.
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi et al.
Spectral Analysis of Diffusion Models with Application to Schedule Design
Roi Benita, Miki Elad, Joseph Keshet
DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
Mo WANG, Kaining Peng, Jingsheng Tang et al.
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
HoloScene: Simulation‑Ready Interactive 3D Worlds from a Single Video
Hongchi Xia, Chih-Hao Lin, Hao-Yu Hsu et al.
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
Arie Soeteman, Balder ten Cate
Variational Uncertainty Decomposition for In-Context Learning
I. Shavindra Jayasekera, Jacob Si, Filippo Valdettaro et al.
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
Runyu Lu, Peng Zhang, Ruochuan Shi et al.
Faithful Group Shapley Value
Kiljae Lee, Ziqi Liu, Weijing Tang et al.
Learning to cluster neuronal function
Nina Nellen, Polina Turishcheva, Michaela Vystrčilová et al.
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
Chengxin Hu, Hao Li, Yihe Yuan et al.
SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation
Chen Yi Lu, Mehrab Tanjim, Ishita Dasgupta et al.
Scalable In-context Ranking with Generative Models
Nilesh Gupta, Chong You, Srinadh Bhojanapalli et al.
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
Adel Nabli, Louis Fournier, Pierre ERBACHER et al.
RAST: Reasoning Activation in LLMs via Small-model Transfer
Siru Ouyang, Xinyu Zhu, Zilin Xiao et al.
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
Dongyeun Lee, jiwan hur, Hyounguk Shon et al.
Self-Supervised Spatial Correspondence Across Modalities
Ayush Shrivastava, Andrew Owens
Demystifying Network Foundation Models
Roman Beltiukov, Satyandra Guthula, Wenbo Guo et al.
MaNGO — Adaptable Graph Network Simulators via Meta-Learning
Philipp Dahlinger, Tai Hoang, Denis Blessing et al.
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
Eva Xie, Stefan Mihalas, Łukasz Kuśmierz
StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning
Chuxin Wang, Yixin Zha, Wenfei Yang et al.
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
Yuezhou Ma, Haixu Wu, Hang Zhou et al.
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
Hao Chen, Guanxi Lu, Yasuyuki Okoshi et al.
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Longwei Wang, Ifrat Ikhtear Uddin, Prof. KC Santosh (PhD) et al.
ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
Zeyu Shen, Basileal Imana, Tong Wu et al.
GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
Simin Fan, Maria Ios Glarou, Martin Jaggi
Guiding Diffusion-Based Articulated Object Generation by Partial Point Cloud Alignment and Physical Plausibility Constraints
Jens U. Kreber, Joerg Stueckler
Fair Deepfake Detectors Can Generalize
Harry Cheng, Ming-Hui Liu, Yangyang Guo et al.
Pairwise Calibrated Rewards for Pluralistic Alignment
Daniel Halpern, Evi Micha, Ariel Procaccia et al.
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability
Yujin Han, Lei Xu, Sirui Chen et al.
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
Ilan Naiman, Emanuel Baruch Baruch, Oron Anschel et al.
CLIP-Adapted Region-to-Text Learning for Generative Open-Vocabulary Semantic Segmentation
Jiannan Ge, Lingxi Xie, Hongtao Xie et al.
Imagined Autocurricula
Ahmet Hamdi Güzel, Matthew T Jackson, Jarek Liesen et al.
From Black-box to Causal-box: Towards Building More Interpretable Models
Inwoo Hwang, Yushu Pan, Elias Bareinboim
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
Woojin Chung, Jeonghoon Kim
CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
Trong-Thang Pham, AKASH AWASTHI, Saba Khan et al.
EgoMusic-driven Human Dance Motion Estimation with Skeleton Mamba
Quang Nguyen, Nhat Le, Baoru Huang et al.
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
Vinh Tong, Trung-Dung Hoang, Anji Liu et al.
Constructing an Optimal Behavior Basis for the Option Keyboard
Lucas N. Alegre, Ana Bazzan, Andre Barreto et al.
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
Florian Barthel, Wieland Morgenstern, Paul Hinzer et al.
Generative Adversarial Diffusion
U-Chae Jun, Jaeeun Ko, Jiwoo Kang
Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
Sebastian Kassing, Simon Weissmann, Leif Döring
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
Kejia Zhang, Juanjuan Weng, Zhiming Luo et al.
On the Hardness of Conditional Independence Testing In Practice
Zheng He, Roman Pogodin, Yazhe Li et al.
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
Jianle Sun, Chaoqi Liang, Ran Wei et al.
Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention
Chong You, Kan Wu, Zhipeng Jia et al.
Improving Rectified Flow with Boundary Conditions
Xixi Hu, Runlong Liao, Bo Liu et al.
VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions
Ziteng Wang, Siqi Yang, Limeng Qiao et al.
Measuring and Guiding Monosemanticity
Ruben Härle, Felix Friedrich, Manuel Brack et al.
Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance
meng wang, Fan Wu, Ruihui Li et al.
SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes
Minje Kim, Tae-Kyun Kim
Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
Benjamin Cookson, Nisarg Shah, Ziqi Yu
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
Otto Brookes, Maksim Kukushkin, Majid Mirmehdi et al.
LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
Ziyuan He, Yuxuan Wang, Jiaqi Li et al.
Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving
Haohong Lin, Yunzhi Zhang, Wenhao Ding et al.
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha et al.
Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion
Mutian Xu, Chongjie Ye, Haolin Liu et al.
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
Sabine Susstrunk, Mathieu Salzmann, Chen Liu et al.
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
Payal Mohapatra, Yueyuan Sui, Akash Pandey et al.
Diffusion-Based Imaginative Coordination for Bimanual Manipulation
Huilin Xu, Jian Ding, Jiakun Xu et al.
Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
Yichi Zhang, Jinlong Pang, Zhaowei Zhu et al.
EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting
Suzhen Wang, Weijie Chen, Wei Zhang et al.
Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
Areeb Ahmad, Abhinav Joshi, Ashutosh Modi
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel, Francesco Ramunno, Jeff Shen et al.
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
Trung Le, Hao Fang, Jingyuan Li et al.
SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing
Jesse Haworth, Juo-Tung Chen, Nigel Nelson et al.
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti et al.
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
Philip Doldo, Derek Everett, Amol Khanna et al.
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection
Ahyun Seo, Minsu Cho
A geometric framework for momentum-based optimizers for low-rank training
Steffen Schotthöfer, Timon Klein, Jonas Kusch
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik et al.
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
Shristi Das Biswas, Arani Roy, Kaushik Roy
URB - Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, Michał Hoffmann et al.
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
Jiayu Wang, Yifei Ming, Zixuan Ke et al.
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
Amit Peleg, Naman Deep Singh, Matthias Hein
Towards Predicting Any Human Trajectory In Context
Ryo Fujii, Hideo Saito, Ryo Hachiuma
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
Meilong Xu, Xiaoling Hu, Shahira Abousamra et al.
Category-Agnostic Neural Object Rigging
Guangzhao He, Chen Geng, Shangzhe Wu et al.
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
Ruijie (Ray) Zhang, Ziyue (Alvin) Liu, Zhengyang Wang et al.
VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition
Rahul Moorthy Mahesh, Jun-Jee Chao, Volkan Isler
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
Valentin Schmutz, Ali Haydaroğlu, Shuqi Wang et al.
CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning
MingYu Lu, Ethan Weinberger, Chanwoo Kim et al.
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
Thomson Yen, Andrew Siah, Haozhe Chen et al.
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Hongmei Yin, Tingliang Feng, Fan Lyu et al.
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
Herbert Woisetschläger, Ryan Zhang, Shiqiang Wang et al.
Identifying and Mitigating Spurious Correlation in Multi-Task Learning
Junyi Chai, Shenyu Lu, Xiaoqian Wang
Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
Artin Tajdini, Jonathan Scarlett, Kevin Jamieson
Learning Interactive World Model for Object-Centric Reinforcement Learning
Fan Feng, Phillip Lippe, Sara Magliacane
Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
Haopeng Sun, Yingwei Zhang, Lumin Xu et al.
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
Behrad Moniri, Hamed Hassani
A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
Sajad Khodadadian, Martin Zubeldia
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim et al.
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection
Yifan Chang, Junjie Huang, Xiaofeng Wang et al.