Most Cited ICLR "physics-informed neural operator" Papers
6,124 papers found • Page 10 of 31
Conference
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Zijia Zhao, Longteng Guo, Jie Cheng et al.
Compositional simulation-based inference for time series
Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu et al.
DELIFT: Data Efficient Language model Instruction Fine-Tuning
Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa et al.
A transfer learning framework for weak to strong generalization
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee et al.
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl et al.
fairret: a Framework for Differentiable Fairness Regularization Terms
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
Learning Chaos In A Linear Way
Xiaoyuan Cheng, Yi He, Yiming Yang et al.
STAR: Synthesis of Tailored Architectures
Armin Thomas, Rom Parnichkun, Alexander Amini et al.
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
Wenyue Hua, Mengting Wan, JAGANNATH VADREVU et al.
Sensor-Invariant Tactile Representation
Harsh Gupta, Yuchen Mo, Shengmiao Jin et al.
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Alan Amin, Nate Gruver, Yilun Kuang et al.
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Xueyang Tang, Song Guo, Jie ZHANG et al.
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Samuel Pegg, Kai Li, Xiaolin Hu
Neural Auto-designer for Enhanced Quantum Kernels
Cong Lei, Yuxuan Du, Peng Mi et al.
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Matan Rusanovsky, Or Hirschorn, Shai Avidan
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller, Kathrin Gruber, Dennis Fok
Fair Submodular Cover
Wenjing Chen, Shuo Xing, Samson Zhou et al.
DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding
Henry Zheng, Hao Shi, Qihang Peng et al.
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho et al.
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
Zijing Shi, Meng Fang, Ling Chen
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
Adam Kania, Marko Mihajlovic, Sergey Prokudin et al.
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Thanh-Tung Le, Khai Nguyen, shanlin sun et al.
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Raphael Avalos, Florent Delgrange, Ann Nowe et al.
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
Tianchun Wang, Yuanzhou Chen, Zichuan Liu et al.
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
Andrew Engel, Zhichao Wang, Natalie Frank et al.
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
Guoxuan Xia, Olivier Laurent, Gianni Franchi et al.
In-context Time Series Predictor
Jiecheng Lu, Yan Sun, Shihao Yang
Valid Conformal Prediction for Dynamic GNNs
Ed Davis, Ian Gallagher, Daniel Lawson et al.
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka et al.
Causally Aligned Curriculum Learning
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li, Xiyuan Wang, Shijia Kang et al.
CTSyn: A Foundation Model for Cross Tabular Data Generation
Xiaofeng Lin, Chenheng Xu, Matthew Yang et al.
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu, Hongyang Gao
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Zhaomin Wu, Junyi Hou, Bingsheng He
Attributing Culture-Conditioned Generations to Pretraining Corpora
Huihan Li, Arnav Goel, Keyu He et al.
SMT: Fine-Tuning Large Language Models with Sparse Matrices
Haoze He, Juncheng Li, Xuan Jiang et al.
SMITE: Segment Me In TimE
Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari et al.
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
Jialong Chen, Bowen Deng, Zhen WANG et al.
Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA
Zhen Yang, Ziwei Du, Minghan Zhang et al.
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
adil kaan akan, Yucel Yemez
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
Shuo Li, Tao Ji, Xiaoran Fan et al.
Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval
Yue Wu, Zhaobo Qi, Yiling Wu et al.
DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
Yuanpei Liu, Kai Han
DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models
Kaishen Wang, Hengrui Gu, Meijun Gao et al.
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
Tongzhou Mu, Minghua Liu, Hao Su
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori, IL-MIN KIM, Guanghui Wang
Circuit Transformer: A Transformer That Preserves Logical Equivalence
Xihan Li, Xing Li, Lei Chen et al.
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
Junchao Gong, Siwei Tu, Weidong Yang et al.
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Zihan Yu, Jingtao Ding, Yong Li et al.
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou et al.
AnoLLM: Large Language Models for Tabular Anomaly Detection
Che-Ping Tsai, Ganyu Teng, Phillip Wallis et al.
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu, Ruiji Yu, Xinwen Cheng et al.
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim H Lee
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
Pum Jun Kim, Seojun Kim, Jaejun Yoo
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
Namgyu Kang, Jaemin Oh, Youngjoon Hong et al.
Dense Video Object Captioning from Disjoint Supervision
Xingyi Zhou, Anurag Arnab, Chen Sun et al.
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
Ruichen Shao, Bei Li, Gangao Liu et al.
Identifying Policy Gradient Subspaces
Jan Schneider, Pierre Schumacher, Simon Guist et al.
Implicit Neural Representations and the Algebra of Complex Wavelets
T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V de Hoop et al.
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
JING WANG, Wonho Bae, Jiahong Chen et al.
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Rui Pan, Yuxing Liu, Xiaoyu Wang et al.
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
Feng Tian, Yixuan Li, Yichao Yan et al.
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng et al.
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
Hyogon Ryu, NaHyeon Park, Hyunjung Shim
Efficient Active Imitation Learning with Random Network Distillation
Emilien Biré, Anthony Kobanda, Ludovic Denoyer et al.
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang, Junyi Li, Xin Zhao et al.
Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models
Qiong Wu, Zhaoxi Ke, Yiyi Zhou et al.
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
Wonje Choi, Jinwoo Park, Sanghyun Ahn et al.
On the Transfer of Object-Centric Representation Learning
Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal et al.
Better autoregressive regression with LLMs via regression-aware fine-tuning
Michal Lukasik, Zhao Meng, Harikrishna Narasimhan et al.
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos, Sammy Sharief, Nikolay Malkin et al.
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation
Yangtao Chen, Zixuan Chen, Junhui Yin et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein, Maha Shadaydeh, Jan Blunk et al.
Robustness Auditing for Linear Regression: To Singularity and Beyond
Ittai Rubinstein, Samuel Hopkins
CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets
feng yan, Weixin Luo, Yujie Zhong et al.
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer
Pierre-David Letourneau, Manish Singh, Hsin-Pai Cheng et al.
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Haowen Wang, Tao Sun, Congyun Jin et al.
Two-timescale Extragradient for Finding Local Minimax Points
Jiseok Chae, Kyuwon Kim, Donghwan Kim
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
Liang Chen, Sinan Tan, Zefan Cai et al.
Second Order Bounds for Contextual Bandits with Function Approximation
Aldo Pacchiano
Multi-Perspective Data Augmentation for Few-shot Object Detection
Anh-Khoa Nguyen Vu, Quoc Truong Truong, Vinh-Tiep Nguyen et al.
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Jie Cheng, Ruixi Qiao, ma yingwei et al.
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
Wentao Zhang, Junliang Guo, Tianyu He et al.
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
Han Lin, Tushar Nagarajan, Nicolas Ballas et al.
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
Divij Handa, Pavel Dolin, Shrinidhi Kumbhar et al.
Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini, Leander Girrbach, Zeynep Akata
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
Lei Chen, Joan Bruna, Alberto Bietti
UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation
Xianwei Zhuang, Zhihong Zhu, Zhichang Wang et al.
Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
Yilun Zheng, Xiang Li, Sitao Luan et al.
AtomSurf: Surface Representation for Learning on Protein Structures
Vincent Mallet, Yangyang Miao, Souhaib Attaiki et al.
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
Haotian Wang, Haoxuan Li, Hao Zou et al.
HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
Muxi Chen, Chenchen Zhao, Qiang Xu
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son, Soochan Lee, Gunhee Kim
Generating Graphs via Spectral Diffusion
GIORGIA MINELLO, Alessandro Bicciato, Luca Rossi et al.
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le, Jerome Malick
Improving Language Model Distillation through Hidden State Matching
Sayantan Dasgupta, Trevor Cohn
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Yong Liu, (Andrew) Zhanke Zhou, Zhicong Li et al.
Integrative Decoding: Improving Factuality via Implicit Self-consistency
Yi Cheng, Xiao Liang, Yeyun Gong et al.
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Jiahao Lu, Yifan Zhang, Qiuhong Shen et al.
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang, Zhiqin Yang, Xinmei Tian et al.
Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
RUNJIA LI, Qiwei Di, Quanquan Gu
ESE: Espresso Sentence Embeddings
Xianming Li, Zongxi Li, Jing Li et al.
Distance-Based Tree-Sliced Wasserstein Distance
Viet-Hoang Tran, Minh-Khoi Nguyen-Nhat, Trang Pham et al.
ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
Keir Adams, Kento Abeywardane, Jenna Fromer et al.
DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning
Chao Li, Ziwei Deng, Chenxing Lin et al.
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan et al.
ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
Zhixin Li, Yuheng Jia
BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
Parsa Vahidi, Omid G. Sani, Maryam Shanechi
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
Nadav Timor, Jonathan Mamou, Daniel Korat et al.
Neural Context Flows for Meta-Learning of Dynamical Systems
Roussel Desmond Nzoyem, David Barton, Tom Deakin
Equivariant Symmetry Breaking Sets
YuQing Xie, Tess Smidt
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Jinyang Li, En Yu, Sijia Chen et al.
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai, Gabriele Farina, Julien Grand-Clément et al.
Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
Haotian Wu, Gongpu Chen, Deniz Gunduz
Enhancing Language Model Agents using Diversity of Thoughts
Vijay Chandra Lingam, Behrooz Tehrani, sujay sanghavi et al.
GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
Ziming Zhang, Fangzhou Lin, Haotian Liu et al.
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
Chenyu Zhang, Xu Chen, Xuan Di
Learning from negative feedback, or positive feedback or both
Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari et al.
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
Peihao Wang, Ruisi Cai, Yuehao Wang et al.
Implicit Neural Surface Deformation with Explicit Velocity Fields
Lu Sang, Zehranaz Canfes, Dongliang Cao et al.
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines
Dongzhi Jiang, Renrui Zhang, Ziyu Guo et al.
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
Sravanti Addepalli, Yerram Varun, Arun Suggala et al.
PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS
Yilong Li, Jingyu Liu, Hao Zhang et al.
S4M: S4 for multivariate time series forecasting with Missing values
Jing Peng, Meiqi Yang, Qiong Zhang et al.
From Attention to Activation: Unraveling the Enigmas of Large Language Models
Prannay Kaul, Chengcheng Ma, Ismail Elezi et al.
Context-aware Dynamic Pruning for Speech Foundation Models
Masao Someki, Yifan Peng, Siddhant Arora et al.
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
Xingyu Zheng, Xianglong Liu, Haotong Qin et al.
Towards hyperparameter-free optimization with differential privacy
Ruixuan Liu, Zhiqi Bu
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Aaron Spieler, Nasim Rahaman, Georg Martius et al.
Decision Tree Induction Through LLMs via Semantically-Aware Evolution
Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes
Xin Lin, Shi Luo, Xiaojun Shan et al.
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
Sung Woong Cho, Hwijae Son
Layerwise Recurrent Router for Mixture-of-Experts
Zihan Qiu, Zeyu Huang, Shuang Cheng et al.
Boosting the visual interpretability of CLIP via adversarial fine-tuning
Shizhan Gong, Haoyu LEI, Qi Dou et al.
Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning
Jiajun Chai, Sicheng Li, Yuqian Fu et al.
LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
JUNRU SONG, Yang Yang, Huan Xiao et al.
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li, Haoran Xu, Philipp Koehn et al.
Scalable Bayesian Learning with posteriors
Samuel Duffield, Kaelan Donatella, Johnathan Chiu et al.
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan, Yu Zheng, Yueqi Duan
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
Kaizhi Zheng, Xiaotong Chen, Xuehai He et al.
Diff-Prompt: Diffusion-driven Prompt Generator with Mask Supervision
Weicai Yan, Wang Lin, Zirun Guo et al.
Distributionally Robust Optimization with Bias and Variance Reduction
Ronak Mehta, Vincent Roulet, Krishna Pillutla et al.
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi, Wei Jin, Charu Aggarwal et al.
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
Jan-Matthis Lueckmann, Alexander Immer, Alex Chen et al.
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother et al.
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
Yanbang Wang, Jon Kleinberg
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun et al.
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa et al.
Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
Jianqun Zhou, Yuanlei Zheng, Wei Chen et al.
RGB-Event ISP: The Dataset and Benchmark
Yunfan LU, Yanlin Qian, Ziyang Rao et al.
StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces
Kyeongmin Yeo, Jaihoon Kim, Minhyuk Sung
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel, Christopher M. Sandino, Behrooz Mahasseni et al.
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
Yifan Yang, Hao Ban, Minhui Huang et al.
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li, Viraj Shitole, Eli Chien et al.
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang
Stiefel Flow Matching for Moment-Constrained Structure Elucidation
Austin H Cheng, Alston Lo, Kin Long Kelvin Lee et al.
VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology
Yi Xiao, Qilong Jia, Kun Chen et al.
BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation
Diego García Cerdas, Christina Sartzetaki, Magnus Petersen et al.
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Hyunwoo Lee, Hayoung Choi, Hyunju Kim
Cached Multi-Lora Composition for Multi-Concept Image Generation
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis et al.
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu, Yongqiang Chen, Xia Dong et al.
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy, Sunshine Jiang, William Yue et al.
ELICIT: LLM Augmentation Via External In-context Capability
Futing Wang, Jianhao (Elliott) Yan, Yue Zhang et al.
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
Tianqu Zhuang, Hongyao Yu, Yixiang Qiu et al.
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
Xingzhuo Guo, Yu Zhang, Baixu Chen et al.
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot, Seok Hoan Choi, Yuxiao Wen
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
Hangtao Zhang, Chenyu Zhu, Xianlong Wang et al.
Mask in the Mirror: Implicit Sparsification
Tom Jacobs, Rebekka Burkholz
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
Haoyuan Wu, Haisheng Zheng, Yuan Pu et al.
TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
Jiankang Chen, Tianke Zhang, Changyi Liu et al.
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
Yuze Zhao, Tianyun Ji, Wenjun Feng et al.
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
Zhiwei Xu, Zhiyu Ni, Yixin Wang et al.
Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos
Fengrui Tian, Yueqi Duan, Angtian Wang et al.
Decoupling Layout from Glyph in Online Chinese Handwriting Generation
Minsi Ren, Yan-Ming Zhang, yi chen
Unsupervised Model Tree Heritage Recovery
Eliahu Horwitz, Asaf Shul, Yedid Hoshen
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
Xiongye Xiao, Heng Ping, Chenyu Zhou et al.
Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
Dang Nguyen, Wenhan Yang, Rathul Anand et al.
Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
Congpei Qiu, Yanhao Wu, Wei Ke et al.
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou et al.
Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception
Zihan Ding, Jiahui Fu, Si Liu et al.
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen, Yuxuan Liang
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning
Quan Zhang, Yuxin Qi, Xi Tang et al.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
Fusheng Liu, Qianxiao Li
MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI
Qi Zhang, Qi Zhang, Zixuan Gong et al.
Revisiting a Design Choice in Gradient Temporal Difference Learning
Xiaochi Qian, Shangtong Zhang
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
Yujee Song, Donghyun LEE, Rui Meng et al.
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon, Anneke Wernerfelt, Sorelle Friedler et al.
State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
Naoki Nishikawa, Taiji Suzuki
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Enshu Liu, Junyi Zhu, Zinan Lin et al.
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Blaise Delattre, Alexandre Araujo, Quentin Barthélemy et al.
6D Object Pose Tracking in Internet Videos for Robotic Manipulation
Georgy Ponimatkin, Martin Cífka, Tomas Soucek et al.
Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo
Jun Xia, Sizhe Liu, Jingbo Zhou et al.
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
Learning-Augmented Search Data Structures
Chunkai Fu, Brandon G. Nguyen, Jung Seo et al.