Most Cited 2025 "numerical reconstruction" Papers
22,274 papers found • Page 71 of 112
Conference
Primphormer: Efficient Graph Transformers with Primal Representations
Mingzhen He, Ruikai Yang, Hanling Tian et al.
Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
Yingzhen Yang
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data
Tingchen Fu, Mrinank Sharma, Phil Torr et al.
Reinforcement Learning with Segment Feedback
Yihan Du, Anna Winnicki, Gal Dalal et al.
BECAME: Bayesian Continual Learning with Adaptive Model Merging
Mei Li, Yuxiang Lu, Qinyan Dai et al.
Demystifying the Token Dynamics of Deep Selective State Space Models
Thieu Vo, Duy-Tung Pham, Xin Tong et al.
Small Language Model Makes an Effective Long Text Extractor
Yelin Chen, Fanjin Zhang, Jie Tang
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit et al.
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
Chenchen Tan, Youyang Qu, Xinghao Li et al.
Object-Centric Pretraining via Target Encoder Bootstrapping
Nikola Đukić, Tim Lebailly, Tinne Tuytelaars
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
Michal Lukasik, Lin Chen, Harikrishna Narasimhan et al.
PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
Yiming Huang, Yajie Hao, Yuxuan Du et al.
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
Jingheng Ye, Shang Qin, Yinghui Li et al.
MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
Shixi Qin, Zhiyong Yang, Shilong Bao et al.
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder
Jianwei Cui, Yu Gu, Shihao Chen et al.
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
Vaibhav Rathore, Divyam Gupta, Biplab Banerjee
Fraud-Proof Revenue Division on Subscription Platforms
Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh et al.
Gaussian Splatting Lucas-Kanade
Liuyue Xie, Joel Julin, Koichiro Niinuma et al.
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
Dazhou Yu, Genpei Zhang, Liang Zhao
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
Saman Ahmadi, Andrea Raith, Guido Tack et al.
DeepCrossAttention: Supercharging Transformer Residual Connections
Mike Heddes, Adel Javanmard, Kyriakos Axiotis et al.
Leveraging Offline Data in Linear Latent Contextual Bandits
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models
Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata et al.
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu et al.
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
Yunhak Oh, Junseok Lee, Yeongmin Kim et al.
Learning Successor Features with Distributed Hebbian Temporal Memory
Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
Xiusheng Huang, Jiaxiang Liu, Yequan Wang et al.
Strength Estimation and Human-Like Strength Adjustment in Games
Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams et al.
Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
Yuhui Ding, Thomas Hofmann
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
Jialiang Cheng, Ning Gao, Yun Yue et al.
HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
Chiqiang Liu, Dazi Li
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
Tianyi Liang, Jiangqi Liu, Yifei Huang et al.
Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
In-Hwan Jin, Haesoo Choo, Seong-Hun Jeong et al.
A Causal Lens for Learning Long-term Fair Policies
Jacob Lear, Lu Zhang
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Raman, Aarti Singh et al.
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
Maxwell J. Yin, Boyu Wang, Charles Ling
On the Private Estimation of Smooth Transport Maps
Clément Lalanne, Franck Iutzeler, Loubes Jean-Michel et al.
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
Yicheng Xiao, Lin Song, Rui Yang et al.
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng et al.
URLOST: Unsupervised Representation Learning without Stationarity or Topology
Zeyu Yun, Juexiao Zhang, Yann LeCun et al.
Optimal and Practical Batched Linear Bandit Algorithm
Sanghoon Yu, Min-hwan Oh
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
Jiaxing Yu, Xinda Wu, Yunfei Xu et al.
A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
Ibrahim Alabdulmohsin, Andreas Steiner
Grammar-Forced Translation of Natural Language to Temporal Logic using LLMs
William English, Dominic Simon, Sumit Jha et al.
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Junze Deng, Qinhang Wu, Peizhong Ju et al.
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang et al.
Scale-Free Graph-Language Models
Jianglin Lu, Yixuan Liu, Yitian Zhang et al.
On Rollouts in Model-Based Reinforcement Learning
Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow et al.
Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma
Quentin Bertrand, Juan Duque, Emilio Calvano et al.
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Cong Zeng, Shengkun Tang, Yuanzhou Chen et al.
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis
Xiangheng He, Junjie Chen, Zixing Zhang et al.
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
David Reber, Sean Richardson, Todd Nief et al.
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
Michael Heck, Christian Geishauser, Nurul Lubis et al.
A Sample Efficient Conditional Independence Test in the Presence of Discretization
Boyang Sun, Yu Yao, Xinshuai Dong et al.
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar
N2GON: Neural Networks for Graph-of-Net with Position Awareness
Yejiang Wang, Yuhai Zhao, Zhengkui Wang et al.
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
Taehun Cha, Donghun Lee
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
chao ying, Jun Jin, Yi Guo et al.
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
Can Pouliquen, Mathurin Massias, Titouan Vayer
Observation Interference in Partially Observable Assistance Games
Scott Emmons, Caspar Oesterheld, Vincent Conitzer et al.
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
Nikolaos Chaidos, Angeliki Dimitriou, Maria Lymperaiou et al.
Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction
Peixin Huang, Xiang Zhao, Minghao Hu et al.
Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst
Shijue Huang, Wanjun Zhong, Deng Cai et al.
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.
Deep Unsupervised Hashing via External Guidance
Qihong Song, XitingLiu, Hongyuan Zhu et al.
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
Hebaixu Wang, Jing Zhang, Haonan Guo et al.
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Haohan Zou, Jie Feng, Hao Zhao et al.
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
Daniel Zilberg, Ron Levie
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
Haoyun Jiang, Haolin li, jianwei zhang et al.
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
Yi Zhang, Elynn Chen, Yujun Yan
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas et al.
Exploring Invariance in Images through One-way Wave Equations
Yinpeng Chen, Dongdong Chen, Xiyang Dai et al.
Relative Error Fair Clustering in the Weak-Strong Oracle Model
Vladimir Braverman, Prathamesh Dharangutte, Shaofeng Jiang et al.
When majority rules, minority loses: bias amplification of gradient descent
François Bachoc, Jerome Bolte, Ryan Boustany et al.
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
Yufei Guo, Yuhan Zhang, Zhou Jie et al.
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
Guobin Shen, Dongcheng Zhao, Yiting Dong et al.
Sparse Autoencoders, Again?
Yin Lu, Xuening Zhu, Tong He et al.
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model
Jinwei Hu, Zhenglin Huang, Xiangyu Yin et al.
Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation
Mingyu Kang, Yong Suk Choi
Can Large Language Models Understand Intermediate Representations in Compilers?
Hailong Jiang, Jianfeng Zhu, Yao Wan et al.
Transfer Learning for Nonparametric Contextual Dynamic Pricing
Fan Wang, Feiyu Jiang, Zifeng Zhao et al.
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
Runze Yan, Xun Shen, Akifumi Wachi et al.
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition
Eungbeom Kim, Kyogu Lee
SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
Yuqi Fan, Zhiyong Cui, Zhenning Li et al.
On the Similarities of Embeddings in Contrastive Learning
Chungpa Lee, Sehee Lim, Kibok Lee et al.
A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding
Alexander Goldberg, Giulia Fanti, Nihar Shah
Towards Reliable Identification of Diffusion-based Image Manipulations
Alex Costanzino, Woody Bayliss, Juil Sock et al.
Scalable Decentralized Learning with Teleportation
Yuki Takezawa, Sebastian Stich
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
Erica Zhang, Fangzhao Zhang, Mert Pilanci
LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration
Sangmin Lee, Woojin Chung, Hong-Goo Kang
Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
Yan Chen, Jerry Bai, Yiteng Zhang et al.
ADIOS: Antibody Development via Opponent Shaping
Sebastian Towers, Aleksandra Kalisz, Philippe Robert et al.
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
Mohammed Adnan, Rohan Jain, Ekansh Sharma et al.
Real-time design of architectural structures with differentiable mechanics and neural networks
Rafael Pastrana, Eder Medina, Isabel M. de Oliveira et al.
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
Igor G. Smit, Yaoxin Wu, Pavel Troubil et al.
Anytime-Constrained Equilibria in Polynomial Time
Jeremy McMahan
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
Angéline Pouget, Mohammad Yaghini, Stephan Rabanser et al.
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Juwei Yue, Haikuo Li, Jiawei Sheng et al.
Curse of High Dimensionality Issue in Transformer for Long Context Modeling
Shuhai Zhang, Zeng You, Yaofo Chen et al.
EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
Kaicheng Fu, Changde Du, Jie Peng et al.
Multiaccuracy and Multicalibration via Proxy Groups
Beepul Bharti, Mary Clemens-Sewall, Paul H. Yi et al.
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight
Shaohui Pan, Yong Xu, Ruotao Xu et al.
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
Yifan Lin, Enlu Zhou
Statistical Test for Feature Selection Pipelines by Selective Inference
Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino et al.
Closed-form Solutions: A New Perspective on Solving Differential Equations
Shu Wei, Yanjie Li, Lina Yu et al.
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation
Laura Zheng, Wenjie Wei, Tony Wu et al.
Wasserstein Convergence of Critically Damped Langevin Diffusions
Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.
DRAG: Data Reconstruction Attack using Guided Diffusion
Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
Can We Ignore Labels in Out of Distribution Detection?
Hong Yang, Qi Yu, Travis Desell
Causal Abstraction Inference under Lossy Representations
Kevin Xia, Elias Bareinboim
Robust learning of halfspaces under log-concave marginals
Jane Lange, Arsen Vasilyan
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
Li Ju, Xingyi Yang, Qi Li et al.
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing
Jianjian Liu, Zhengtao Yu, Ying Li et al.
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim, Yuji Roh, Geon Heo et al.
Position: AI Safety Must Embrace an Antifragile Perspective
Ming Jin, Hyunin Lee
Position: Certified Robustness Does Not (Yet) Imply Model Security
Andrew C. Cullen, Paul MONTAGUE, Sarah Erfani et al.
SGD with memory: fundamental properties and stochastic acceleration
Dmitry Yarotsky, Maksim Velikanov
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
Zhonglin Cao, Mario Geiger, Allan Costa et al.
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
Michael S Yao, James Gee, Osbert Bastani
PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning
Daniel Gnad, Lee-Or Alon, Eyal Weiss et al.
The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
Pedro Santos, Alberto Sardinha, Francisco S. Melo
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
Samuel Holt, Todor Davchev, Dhruva Tirumala et al.
Epistemic Uncertainty for Generated Image Detection
Jun Nie, Yonggang Zhang, Tongliang Liu et al.
Confounding-Robust Deferral Policy Learning
Ruijiang Gao, Mingzhang Yin
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
Song Wang, Zhenyu Lei, Zhen Tan et al.
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
Can Rong, Jingtao Ding, Yan Liu et al.
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
Guangyin Bao, Qi Zhang, Zixuan Gong et al.
Utilitarian Algorithm Configuration for Infinite Parameter Spaces
Devon Graham, Kevin Leyton-Brown
Replicating Electoral Success
Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander et al.
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
Ningning Chen, Weicai Ye, Ying Jiang
Bayesian Persuasion with Externalities: Exploiting Agent Types
Jonathan Shaki, Jiarui Gan, Sarit Kraus
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
Shiri Ron, Daniel Schoepflin
Constant-Factor Distortion Mechanisms for k-Committee Election
Haripriya Pulyassary, Chaitanya Swamy
VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians
Pengchong Hu, Zhizhong Han
Multi-Apartment Rent Division
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
Equilibria of the Colonel Blotto Games with Costs
Stanisław Kaźmierowski
Quickest Detection of Adversarial Attacks Against Correlated Equilibria
Kiarash Kazari, Aris Kanellopoulos, György Dán
Strategyproof Matching of Roommates and Rooms
Hadi Hosseini, Shivika Narang, Sanjukta Roy
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
Mingquan Feng, Zhijie Chen, Yixin Huang et al.
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
Changxin Huang, Yanbin Chang, Junfan Lin et al.
Reducing Leximin Fairness to Utilitarian Optimization
Eden Hartman, Yonatan Aumann, Avinatan Hassidim et al.
Eliminating Majority Illusion Is Easy
Jack Dippel, Max Dupré la Tour, April Niu et al.
State-Based Disassembly Planning
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
Adaptive Manipulation for Coalitions in Knockout Tournaments
Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Joseph Bills, Christopher Archibald, Diego Blaylock
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li, Zhipeng Cai, Bochun Yang et al.
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
Haining Yu, Yizhou Sun
Strategic Network Creation for Enabling Greedy Routing
Julian Berger, Tobias Friedrich, Pascal Lenzner et al.
Quantization-Free Autoregressive Action Transformer
Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach et al.
Graph Neural Networks Gone Hogwild
Olga Solodova, Nick Richardson, Deniz Oktay et al.
Commitment to Sparse Strategies in Two-Player Games
Salam Afiouni, Jakub Černý, Chun Kai Ling et al.
How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
Piotr Kubaty, Bartosz Wójcik, Bartłomiej Krzepkowski et al.
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
Zhipeng Zou, Sheng Wan, Guangyu Li et al.
Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Qi Xin, Robert E Kass
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
Qi Zheng, Zihao Yao, Yaying Zhang
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Shuyuan Zhao, Wei Chen, Boyan Shi et al.
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
Qiqi Zhang, Chao Li, Zhongying Zhao
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
Baoming Zhang, MingCai Chen, Jianqing Song et al.
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan, Xingyu Zhao, Hanqing Ma et al.
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Yibo Wang, Yingchun Jian, Wenhao Yang et al.
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking
Fang Wang, Shenglin Yin, Xiaoying Bai et al.
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Zhenglin Wan, Anjun Gao, Xingrui Yu et al.
Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser
Fitting Networks with a Cancellation Trick
Jiashun Jin, Jingming Wang
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Peiwang Tang, Weitai Zhang
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
Yuchen Sun, Qianqian Xu, Zitai Wang et al.
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
Satoki Ishikawa, Rio Yokota, Ryo Karakida
THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS
Huiyang Yi, Yanyan He, Duxin Chen et al.
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Can Chen, Jun-Kun Wang
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi et al.
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
Kai Mao, Yiyang Lian, Yangyang Wang et al.
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang et al.
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Anthony GX-Chen, Kenneth Marino, Rob Fergus
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
Shen Zhang, Siyuan Liang, Yaning Tan et al.
Learning Single Index Models with Diffusion Priors
Anqi Tang, Youming Chen, Shuchen Xue et al.
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Xun Liang, Zhiying Li, Hongxun Jiang
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
Jia Jinghong, Lei Song, Jiaxing Li et al.
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
Hongyu Ke, Jack Morris, Kentaro Oguchi et al.
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models
Maksim Gladyshev, Natasha Alechina, Mehdi Dastani et al.
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
Alexander Levine, Peter Stone, Amy Zhang
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation
Jesse Heyninck
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
Gramoz Goranci, Peter Kiss, Neel Patel et al.
Unlearning-based Neural Interpretations
Ching Lam Choi, Alexandre Duplessis, Serge Belongie
Multiplex Graph Representation Learning with Homophily and Consistency
Yudi Huang, Ci Nie, Hongqing He et al.
New Algorithms for the Learning-Augmented k-means Problem
Junyu Huang, Qilong Feng, Ziyun Huang et al.
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
Mohan Gao, Kexin Xu, Xiaofeng Gao et al.
Reasoning About Actual Causes in Nondeterministic Domains
Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv
Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations
Xiuchuan Li, Tongliang Liu
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Ke Fei, Xinyue Zhang, Jingjing Li
Scalable Knowledge Refactoring Using Constrained Optimisation
Minghao Liu, David M. Cerna, Filipe Gouveia et al.
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
Piyush Lalitkumar Tiwary, Kinjawl Bhattacharyya, Prathosh AP
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Rui Deng, Ziqi Li, Mingshu Wang