Most Cited ICLR "fuzzy set theory" Papers
6,124 papers found • Page 9 of 31
Conference
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulić, Sofia Michel, Jean-Marc Andreoli
Halton Scheduler for Masked Generative Image Transformer
Victor Besnier, Mickael Chen, David Hurych et al.
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu, Beibu Li, Kai Zhao et al.
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li, Janardhan Kulkarni, Ishai Menache et al.
Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
Shane Bergsma, Nolan Dey, Gurpreet Gosal et al.
Vanishing Gradients in Reinforcement Finetuning of Language Models
Noam Razin, Hattie Zhou, Omid Saremi et al.
Emergence of meta-stable clustering in mean-field transformer models
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength
Wanquan Feng, Jiawei Liu, Pengqi Tu et al.
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu, Ritvik Gupta, Wenduo Cheng et al.
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta et al.
Non-myopic Generation of Language Models for Reasoning and Planning
Chang Ma, Haiteng Zhao, Junlei Zhang et al.
Universal Image Restoration Pre-training via Degradation Classification
Jiakui Hu, Lujia Jin, Zhengjian Yao et al.
Quantifying and Enhancing Multi-modal Robustness with Modality Preference
Zequn Yang, Yake Wei, Ce Liang et al.
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
Rylan Schaeffer, Dan Valentine, Luke Bailey et al.
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
Haoyi Zhu, Honghui Yang, Yating Wang et al.
A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert Dick et al.
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
Jingyu Zhang, Ahmed Elgohary Ghoneim, Ahmed Magooda et al.
Generative Modeling with Phase Stochastic Bridge
Tianrong Chen, Jiatao Gu, Laurent Dinh et al.
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li, Xianglong Yan, Tianao Zhang et al.
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
Sichen Zhu, Yuchen Zhu, Molei Tao et al.
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
Xinshuai Dong, Biwei Huang, Ignavier Ng et al.
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
Cunxiang Wang, Ruoxi Ning, Boqi Pan et al.
Fantastic Copyrighted Beasts and How (Not) to Generate Them
Luxi He, Yangsibo Huang, Weijia Shi et al.
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
Zican Hu, Zongzhang Zhang, Huaxiong Li et al.
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin, Chao Li, Jianhai Zhang et al.
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
Logan Cross, Violet Xiang, Agam Bhatia et al.
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha et al.
miniCTX: Neural Theorem Proving with (Long-)Contexts
Jiewen Hu, Thomas Zhu, Sean Welleck
OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning
Xiaoqiang Wang, Bang Liu
Training on the Test Task Confounds Evaluation and Emergence
Ricardo Dominguez-Olmedo, Florian Eddie Dorner, Moritz Hardt
Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data
Florian Eddie Dorner, Vivian Nastl, Moritz Hardt
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
DIPANJYOTI PAUL, Arpita Chowdhury, Xinqi Xiong et al.
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
Haoxuan Li, Chunyuan Zheng, Yanghao Xiao et al.
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Xingrun Xing, Boyan Gao, Zheng Liu et al.
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi et al.
Language Models are Advanced Anonymizers
Robin Staab, Mark Vero, Mislav Balunovic et al.
Heavy-Tailed Diffusion Models
Kushagra Pandey, Jaideep Pathak, Yilun Xu et al.
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Nick Hansen, Jyothir S V, Vlad Sobal et al.
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
Rui Zheng, Wei Shen, Yuan Hua et al.
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang, Zhiguang Cao, Wen Song et al.
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics
Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu et al.
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Weihao Zeng, Yuzhen Huang, Lulu Zhao et al.
Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
Biao Yi, Tiansheng Huang, Sishuo Chen et al.
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri et al.
Improving Data Efficiency via Curating LLM-Driven Rating Systems
Jinlong Pang, Jiaheng Wei, Ankit Parag Shah et al.
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
Qiang Liu, Mengyu Chu, Nils Thuerey
Improving Semantic Understanding in Speech Language Models via Brain-tuning
Omer Moussa, Dietrich Klakow, Mariya Toneva
Variational Diffusion Posterior Sampling with Midpoint Guidance
Badr MOUFAD, Yazid Janati el idrissi, Lisa Bedin et al.
SyllableLM: Learning Coarse Semantic Units for Speech Language Models
Alan Baade, Puyuan Peng, David Harwath
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Qihao Liu, Adam Kortylewski, Yutong Bai et al.
Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians
Ishan Amin, Sanjeev Raja, Aditi Krishnapriyan
Improving Convergence and Generalization Using Parameter Symmetries
Bo Zhao, Robert M. Gower, Robin Walters et al.
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu et al.
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao et al.
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl, Carsten Lüth, Maximilian Zenk et al.
NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics
David Robinson, Marius Miron, Masato Hagiwara et al.
MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions
Jian Wu, Linyi Yang, Dongyuan Li et al.
SONICS: Synthetic Or Not - Identifying Counterfeit Songs
Awsaf Rahman, Zaber Ibn Abdul Hakim, Najibul Haque Sarker et al.
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Michael Scholkemper, Xinyi Wu, Ali Jadbabaie et al.
Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
Qizhou Wang, Bo Han, Puning Yang et al.
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Paul Liang, Chun Kai Ling, Yun Cheng et al.
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
Simin Li, Jun Guo, Jingqiao Xiu et al.
Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang et al.
Understanding Certified Training with Interval Bound Propagation
Yuhao Mao, Mark N Müller, Marc Fischer et al.
Maximum Entropy Heterogeneous-Agent Reinforcement Learning
Jiarong Liu, Yifan Zhong, Siyi Hu et al.
Transformers are Universal In-context Learners
Takashi Furuya, Maarten V de Hoop, Gabriel Peyré
HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
Howard Yen, Tianyu Gao, Minmin Hou et al.
Text-to-Image Rectified Flow as Plug-and-Play Priors
Xiaofeng Yang, Cheng Chen, xulei yang et al.
Unifying Causal Representation Learning with the Invariance Principle
Dingling Yao, Dario Rancati, Riccardo Cadei et al.
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
Liyuan Mao, Haoran Xu, Weinan Zhang et al.
Is Your Multimodal Language Model Oversensitive to Safe Queries?
Xirui Li, Hengguang Zhou, Ruochen Wang et al.
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish et al.
Language Imbalance Driven Rewarding for Multilingual Self-improving
Wen Yang, Junhong Wu, Chen Wang et al.
Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning
Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi et al.
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Shurui Gui, Xiner Li, Shuiwang Ji
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo, Yilun Du
Explaining Time Series via Contrastive and Locally Sparse Perturbations
Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.
Tailoring Self-Rationalizers with Multi-Reward Distillation
Sahana Ramnath, Brihi Joshi, Skyler Hallinan et al.
Oscillatory State-Space Models
T. Konstantin Rusch, Daniela Rus
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
Hila Manor, Tomer Michaeli
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Guy Ohayon, Tomer Michaeli, Michael Elad
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee et al.
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Haoqi Yuan, Zhancun Mu, Feiyang Xie et al.
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Shaofeng Zhang, Jinfa Huang, Qiang Zhou et al.
An operator preconditioning perspective on training in physics-informed machine learning
Tim De Ryck, Florent Bonnet, Siddhartha Mishra et al.
Diffusion Model for Dense Matching
Jisu Nam, Gyuseong Lee, Seonwoo Kim et al.
Population Transformer: Learning Population-level Representations of Neural Activity
Geeling Chau, Christopher Wang, Sabera Talukder et al.
Democratizing Fine-grained Visual Recognition with Large Language Models
Mingxuan Liu, Subhankar Roy, Wenjing Li et al.
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
Zihan Wang, Arthur Jacot
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu et al.
ElasticTok: Adaptive Tokenization for Image and Video
Wilson Yan, Volodymyr Mnih, Aleksandra Faust et al.
Faster Cascades via Speculative Decoding
Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat et al.
Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention
Tianyun Yang, Ziniu Li, Juan Cao et al.
Tool-Augmented Reward Modeling
Lei Li, Yekun Chai, Shuohuan Wang et al.
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models
Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim et al.
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding
Noam Levi, Alon Beck, Yohai Bar-Sinai
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
Ziyu Liu, Yuhang Zang, Xiaoyi Dong et al.
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang, Zecheng Tang, Chenfei Wu et al.
Debiasing Algorithm through Model Adaptation
Tomasz Limisiewicz, David Mareček, Tomáš Musil
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
Sungmin Cha, Sungjun Cho, Dasol Hwang et al.
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Maxwell Xu, Alexander Moreno, Hui Wei et al.
T-Rep: Representation Learning for Time Series using Time-Embeddings
Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere
Image Clustering Conditioned on Text Criteria
Sehyun Kwon, Jaden Park, Minkyu Kim et al.
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clementine Domine, Nicolas Anguita, Alexandra M Proca et al.
Flow: Modularized Agentic Workflow Automation
Boye Niu, Yiliao Song, Kai Lian et al.
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering
Hongze CHEN, Zehong Lin, Jun Zhang
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
Tanqiu Jiang, Zian Wang, Jiacheng Liang et al.
Understanding Optimization in Deep Learning with Central Flows
Jeremy Cohen, Alex Damian, Ameet Talwalkar et al.
YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
Garrett Tanzer, Biao Zhang
Unhackable Temporal Reward for Scalable Video MLLMs
En Yu, Kangheng Lin, Liang Zhao et al.
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu et al.
Harnessing Webpage UIs for Text-Rich Visual Understanding
Junpeng Liu, Tianyue Ou, Yifan Song et al.
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng, Yuyan Ni, Lu yan et al.
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
Jianhao Huang, Zixuan Wang, Jason Lee
Privacy Auditing of Large Language Models
Ashwinee Panda, Xinyu Tang, Christopher Choquette-Choo et al.
Linear Representations of Political Perspective Emerge in Large Language Models
Junsol Kim, James Evans, Aaron Schein
TIPS: Text-Image Pretraining with Spatial awareness
Kevis-Kokitsi Maninis, Kaifeng Chen, Soham Ghosh et al.
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
Marius Memmel, Jacob Berg, Bingqing Chen et al.
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Quentin Delfosse, Patrick Schramowski, Martin Mundt et al.
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
Zhongwei Wan, Xinjian Wu, Yu Zhang et al.
Self-Improving Robust Preference Optimization
Eugene Choi, Arash Ahmadian, Matthieu Geist et al.
Online Continual Learning for Interactive Instruction Following Agents
Byeonghwi Kim, Minhyuk Seo, Jonghyun Choi
DSPO: Direct Score Preference Optimization for Diffusion Model Alignment
Huaisheng Zhu, Teng Xiao, Vasant Honavar
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration
Yuxuan Sun, Yunlong Zhang, Yixuan Si et al.
Meaning Representations from Trajectories in Autoregressive Models
Tian Yu Liu, Matthew Trager, Alessandro Achille et al.
Idempotent Generative Network
Assaf Shocher, Amil Dravid, Yossi Gandelsman et al.
When Semantic Segmentation Meets Frequency Aliasing
Linwei Chen, Lin Gu, Ying Fu
On the Provable Advantage of Unsupervised Pretraining
Jiawei Ge, Shange Tang, Jianqing Fan et al.
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao, Maksym Andriushchenko, francesco croce et al.
Why is SAM Robust to Label Noise?
Christina Baek, J Kolter, Aditi Raghunathan
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Vimal Thilak, Chen Huang, Omid Saremi et al.
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu et al.
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
Gang Liu, Michael Sun, Wojciech Matusik et al.
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
Zhenfang Chen, Rui Sun, Wenjun Liu et al.
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien et al.
EmbedLLM: Learning Compact Representations of Large Language Models
Richard Zhuang, Tianhao Wu, Zhaojin Wen et al.
Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad et al.
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
Songtao Huang, Zhen Zhao, Can Li et al.
How connectivity structure shapes rich and lazy learning in neural circuits
Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford et al.
Scaling Optimal LR Across Token Horizons
Johan Bjorck, Alon Benhaim, Vishrav Chaudhary et al.
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Sijia Chen, Baochun Li, Di Niu
Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
Mingxin Huang, Yuliang Liu, Dingkang Liang et al.
Controlling Language and Diffusion Models by Transporting Activations
Pau Rodriguez, Arno Blaas, Michal Klein et al.
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge
Aparna Elangovan, Lei Xu, Jongwoo Ko et al.
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
Darshil Doshi, Aritra Das, Tianyu He et al.
Audio Large Language Models Can Be Descriptive Speech Quality Evaluators
CHEN CHEN, Yuchen Hu, Siyin Wang et al.
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta, Qingfei You, Minqi Jiang et al.
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao et al.
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Ben Eisner, Yi Yang, Todor Davchev et al.
Submodular Reinforcement Learning
Manish Prajapat, Mojmir Mutny, Melanie Zeilinger et al.
Multimodal Molecular Pretraining via Modality Blending
Qiying Yu, Yudi Zhang, yuyan ni et al.
Monitoring Latent World States in Language Models with Propositional Probes
Jiahai Feng, Stuart Russell, Jacob Steinhardt
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
Yuzi Yan, Yibo Miao, Jialian Li et al.
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Junzhe Zhu, Yuanchen Ju, Junyi Zhang et al.
Do LLMs ``know'' internally when they follow instructions?
Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar et al.
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
İlker Kesen, Andrea Pedrotti, Mustafa Dogan et al.
LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement
Zhifan Ye, Kejing Xia, Yonggan Fu et al.
Temporal Reasoning Transfer from Text to Video
Lei Li, Yuanxin Liu, Linli Yao et al.
Personality Alignment of Large Language Models
Minjun Zhu, Yixuan Weng, Linyi Yang et al.
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew T Jackson, Chris Lu, Louis Kirsch et al.
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis
El Mehdi Achour, Francois Malgouyres, Sebastien Gerchinovitz
Pre-Training and Fine-Tuning Generative Flow Networks
Ling Pan, Moksh Jain, Kanika Madan et al.
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan, Yuqi Yang, Yu-Xiao Guo et al.
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng, Yadan Luo, Yonggang Zhang et al.
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang, Siyuan Wu, Chujie Gao et al.
In Search of Forgotten Domain Generalization
Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer et al.
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
Ce Zhang, Zifu Wan, Zhehan Kan et al.
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
Nuoya Xiong, Lijun Ding, Simon Du
OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Junjielong Xu, Qinan Zhang, Zhiqing Zhong et al.
Conditional Information Bottleneck Approach for Time Series Imputation
MinGyu Choi, Changhee Lee
Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
Zhitong Xu, Haitao Wang, Jeff Phillips et al.
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke, Daniel Cremers
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
YOUHE JIANG, Ran Yan, Binhang Yuan
Does SGD really happen in tiny subspaces?
Minhak Song, Kwangjun Ahn, Chulhee Yun
Selective Attention Improves Transformer
Yaniv Leviathan, Matan Kalman, Yossi Matias
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
Xiang Fu, Tian Xie, Andrew Rosen et al.
Looking Backward: Streaming Video-to-Video Translation with Feature Banks
Feng Liang, Akio Kodaira, Chenfeng Xu et al.
Structure Language Models for Protein Conformation Generation
Jiarui Lu, Xiaoyin Chen, Stephen Lu et al.
Elucidating the design space of classifier-guided diffusion generation
Jiajun Ma, Tianyang Hu, Wenjia Wang et al.
Domain Randomization via Entropy Maximization
Gabriele Tiboni, Pascal Klink, Jan Peters et al.
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition
Issar Tzachor, Boaz Lerner, Matan Levy et al.
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Kensen Shi, Joey Hong, Yinlin Deng et al.
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
Zhaorun Chen, Francesco Pinto, Minzhou Pan et al.
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga et al.
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
Minghao Guo, Bohan Wang, Kaiming He et al.
Benchmarking Agentic Workflow Generation
Shuofei Qiao, Runnan Fang, Zhisong Qiu et al.
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
Mohamed el amine Boudjoghra, Angela Dai, Jean Lahoud et al.
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
Yi Liu, Changran Xu, Yunhao Zhou et al.
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
Jaden Fiotto-Kaufman, Alexander Loftus, Eric Todd et al.
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
Xihaier Luo, Wei Xu, Balasubramanya T. Nadiga et al.
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
Ravi Srinivasan, Francesca Mignacco, Martino Sorbaro et al.
Efficient Reinforcement Learning with Large Language Model Priors
Xue Yan, Yan Song, Xidong Feng et al.
Mixture of In-Context Prompters for Tabular PFNs
Derek Xu, Olcay Cirit, Reza Asadi et al.
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
Yukun Chen, Shuo Shao, Enhao Huang et al.
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino, Tobias Pfaff, Nils Thuerey
Pathologies of Predictive Diversity in Deep Ensembles
Geoff Pleiss, Taiga Abe, E. Kelly Buchanan et al.
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin et al.