Most Cited AAAI "knowledge-guided machine learning" Papers

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

Yanjie Li, Weijun Li, Lina Yu et al.

Intelligent OPC Engineer Assistant for Semiconductor Manufacturing

Guojin Chen, Haoyu Yang, Bei Yu et al.

Efficient Multi-Policy Evaluation for Reinforcement Learning

Shuze Daniel Liu, Claire Chen, Shangtong Zhang

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion

Cheng Wu, Liang Su, Chaokun Wang et al.

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion

Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah et al.

Neural Network Approximators for Marginal MAP in Probabilistic Circuits

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios

Ruolin Wang, Yuejiao Xu, Jianmin Ji

Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation

Miran Heo, Seoung Wug Oh, Seon Joo Kim et al.

Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Victor O. K. Li, Yang Han, Jacqueline C. K. Lam

Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows

Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.

A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus

Liangda Fang, Xiaoman Wang, Zhang Chen et al.

The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective

Alexander Lam, Bo Li, Ankang Sun

LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning

Hongjing Wu, Siyuan Yao, Feng Huang et al.

Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement

Yulin He, Wei Chen, Siqi Wang et al.

AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation

Yu Wang, Yunfei Liu, Fa-Ting Hong et al.

HORIZON: High-Resolution Semantically Controlled Panorama Synthesis

Kun Yan, Lei Ji, Jian Liang et al.

Windowed MAPF with Completeness Guarantees

Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li et al.

CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction

Huiqun Huang, Sihong He, Fei Miao

Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees

Zongjun Yang, Luofeng Liao, Christian Kroer

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models

Xin Jing, Yichen Jing, Yuhuan Lu et al.

ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries

Wangyu Xue, Chen Qian, Jiayi Wu et al.

GHOST: Gaussian Hypothesis Open-Set Technique

Ryan Rabinowitz, Steve Cruz, Manuel Günther et al.

Multi-Branch Self-Drafting for LLM Inference Acceleration

Zipeng Gao, Qingrong Xia, Tong Xu et al.

Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation

Jiarui Yang, Chuan Wang, Jun Zhang et al.

Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases

Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo

A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft

Yu Chen, Shuai Zheng, Nianyi Wang et al.

CPN: Complementary Proposal Network for Unconstrained Text Detection

Longhuang Wu, Shangxuan Tian, Youxin Wang et al.

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang et al.

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning

Junseok Park, Yoonsung Kim, Hee bin Yoo et al.

Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration

Zijian Wang, Bin Wang, Haifeng Jing et al.

Polarization Guided Mask-Free Shadow Removal

Chu Zhou, Chao Xu, Boxin Shi

Learning Regularization for Graph Inverse Problems

Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb et al.

On Shallow Planning Under Partial Observability

Randy Lefebvre, Audrey Durand

DCA: Dividing and Conquering Amnesia in Incremental Object Detection

Aoting Zhang, Dongbao Yang, Chang Liu et al.

FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization

Zhiyong Ma, Zhengping Li, Yuanjie Shi et al.

Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation

Yihao Wang, Jiajie Su, Chaochao Chen et al.

KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing

Shu Zhao, Tan Yu, Xiaoshuai Hao et al.

Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation

Kuanghong Liu, Jin Wang, Kangjian He et al.

SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction

Hao Wang, Lu Wang, Zhongyu Wang et al.

Detecting Music Performance Errors with Transformers

Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos et al.

On the Expressivity of Recurrent Neural Cascades

Nadezda Knorozova, Alessandro Ronca

On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing

Raven Beutner, Bernd Finkbeiner

Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration

Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.

BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation

Oren Barkan, Yehonatan Elisha, Jonathan Weill et al.

FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures

Hao Yu, Haoyu Chen, Wei Peng et al.

A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming

Zeynep G. Saribatur, Stefan Woltran

Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories

Xiaohan Zhang, Zhenyu Sun, Yukui Qiu et al.

Double Auction on Diffusion Network

Miao Li, Yuhan Cao, Dengji Zhao

Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising

Zikang Chen, Tao Jiang, Xiaowan Hu et al.

Any-Way Meta Learning

JunHoo Lee, Yearim Kim, Hyunho Lee et al.

Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval

Dezhao Luo, Shaogang Gong, Jiabo Huang et al.

OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition

Yiheng Yu, Sheng Liu, Yuan Feng et al.

Breaking Symmetries in Quantified Graph Search: A Comparative Study

Mikoláš Janota, Markus Kirchweger, Tomáš Peitl et al.

LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation

Dongshuo Huang, Xiaoshui Huang, Chengdong Zhang et al.

Constructing Fair Latent Space for Intersection of Fairness and Explainability

Hyungjun Joo, Hyeonggeun Han, Sehwan Kim et al.

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction

Yixuan Li, Can Chen, Jiajun Li et al.

Formally Verified Approximate Policy Iteration

Maximilian Schäffeler, Mohammad Abdulaziz

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags

Kim van den Houten, Léon Planken, Esteban Freydell et al.

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences

Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.

Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment

Qing Chang, Yao-Xiang Ding, Kun Zhou

Multi-View Multi-Label Classification via View-Label Matching Selection

Hao Wei, Yongjian Deng, Qiuru Hai et al.

Bootstrapped Reward Shaping

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin et al.

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization

Tao Long, Lei Zhang, Liang Zhang et al.

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics

Kaichen Xu, Qilong Wu, Yan Lu et al.

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

Xiaowei Mao, Yan Lin, Shengnan Guo et al.

Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera

Haixin Shi, Yinlin Hu, Daniel Koguciuk et al.

SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration

Sarith Imaduwage

Towards Universal Rainy Image Restoration: Benchmark and Baseline

Hujie Yan

Monocular 3D Hand Mesh Recovery via Dual Noise Estimation

Hanhui Li, Xiaojian Lin, Xuan Huang et al.

Proportionally Fair Makespan Approximation

Michal Feldman, Jugal Garg, Vishnu V. Narayan et al.

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov, Qin Zhang

Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic

Thomy Phan, Benran Zhang, Shao-Hung Chan et al.

Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec

Yu-Hsuan Huang, Ling Lo, Hongxia Xie et al.

JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts

Taein Son, Soo Won Seo, Jisong Kim et al.

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy Norman et al.

SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction

Zhongquan Jian, Yanhao Chen, Jiajian Li et al.

Towards Projected and Incremental Pseudo-Boolean Model Counting

Suwei Yang, Kuldeep S. Meel

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection

HaoMiao Liu, Hao Xu, Chuhuai Yue et al.

DocMamba: Efficient Document Pre-training with State Space Model

Pengfei Hu, Zhenrong Zhang, Jiefeng Ma et al.

Relaxed Rotational Equivariance via G-Biases in Vision

Zhiqiang Wu, Yingjie Liu, Licheng Sun et al.

Modeling Latent Non-Linear Dynamical System over Time Series

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition

Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun et al.

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA

Jiaang Li, Quan Wang, Zhongnan Wang et al.

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning

Shuyu Dong, Michele Sebag, Kento Uemura et al.

LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments

Till Hofmann, Jens Claßen

M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection

Jiafeng Li, Ying Wen, Lianghua He

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution

Xi Su, Xiangfei Shen, Mingyang Wan et al.

QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models

Xiangming Meng, Yoshiyuki Kabashima

Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning

Amr Abourayya, Jens Kleesiek, Kanishka Rao et al.

CGS-Mask: Making Time Series Predictions Intuitive for All

Feng Lu, Wei Li, Yifei Sun et al.

Out-of-Distribution Generalization on Graphs via Progressive Inference

Yiming Xu, Bin Shi, Zhen Peng et al.

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification

Yudong Han, Haocong Wang, Yupeng Hu et al.

VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos

Baoyu Liang, Qile Su, Shoutai Zhu et al.

Testing Self-Reducible Samplers

Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote et al.

Optimizing Label Assignment for Weakly Supervised Person Search

Haiyang Zhu, Xi Yang, Nannan Wang

Explicit and Implicit Graduated Optimization in Deep Neural Networks

Naoki Sato, Hideaki Iiduka

PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery

Shristi Das Biswas, Matthew Shreve, Xuelu Li et al.

Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation

Dapeng Li, Na Lou, Zhiwei Xu et al.

CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification

Zeqing Qin, Yiwei Wu, Lansheng Han

IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter

Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang et al.

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov

Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms

Xianqi Jiao, Jia Liu, Zhiping Chen

Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning

Trang Nguyen, Anh Tran, Nhat Ho

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Junye Chen et al.

Does VLM Classification Benefit from LLM Description Semantics?

Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko et al.

Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis

Zebin Yao, Fangxiang Feng, Ruifan Li et al.

QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects

Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh et al.

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks

Zijian Huang, Wenda Chu, Linyi Li et al.

Community-Aware Variational Autoencoder for Continuous Dynamic Networks

Junwei Cheng, Chaobo He, Pengxing Feng et al.

Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling

Fei Ye, Adrian G. Bors, Kun Zhang

Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game

Per Kristian Lehre, Shishen Lin

Implicit Modeling of Non-rigid Objects with Cross-Category Signals

Yuchun Liu, Benjamin Planche, Meng Zheng et al.

Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures

Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks

Giorgio Morales, John W. Sheppard

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Song Lai, Zhe Zhao, Fei Zhu et al.

Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation

PeiYuan Tang, Xiaodong Zhang, Chunze Yang et al.

Physical-aware Neural Radiance Fields for Efficient Exposure Correction

Kai Xu, Mingwen Shao, Yuanjian Qiao et al.

Reconciling Predictive and Statistical Parity: A Causal Approach

Drago Plecko, Elias Bareinboim

Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness

Haoming Wang, Wei Gao

EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar

Pengyu Zhang, Xieyuanli Chen, Yuwei Chen et al.

What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases

Luca Andolfi, Gianluca Cima, Marco Console et al.

Federated t-SNE and UMAP for Distributed Data Visualization

Dong Qiao, Xinxian Ma, Jicong Fan

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu et al.

Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation

Xiao Hu, Libo Long, Jochen Lang

MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling

Jiaqi Xu, Bo Liu, Yunkuo Chen et al.

Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing

Guangming Zhu, Siyuan Wang, Tianci Wu et al.

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship

Junfeng Kang, Rui Li, Qi Liu et al.

NeSyFOLD: A Framework for Interpretable Image Classification

Parth Padalkar, Huaduo Wang, Gopal Gupta

Disentangled Modeling of Preferences and Social Influence for Group Recommendation

Guangze Ye, Wen Wu, Guoqing Wang et al.

PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion

Yi Zhong, Weize Quan, Dong-Ming Yan et al.

PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation

Shoumeng Qiu, Xinrun Li, Xiangyang Xue et al.

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng et al.

Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval

Jiaxing Li, Lin Jiang, Zeqi Ma et al.

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment

Xiao Shen, Zhihao Chen, Shirui Pan et al.

D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching

Jingyu Liu, Minquan Wang, Ye Ma et al.

Auditable Algorithms for Approximate Model Counting

S Akshay, Supratik Chakraborty, Kuldeep S Meel

Diverse Rare Sample Generation with Pretrained GANs

Subeen Lee, Jiyeon Han, Soyeon Kim et al.

Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses

Hui Liu, Shikai Jin

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation

Yujing Liu, Zongqian Wu, Zhengyu Lu et al.

Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization

Yizhi Wang, Weijia Zhang, Min-Ling Zhang

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning

Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.

An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation

Lars Bengel, Giovanni Buraglio, Jan Maly et al.

Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension

Chenxu Wang, Ping Jian, Zhen Yang

Cost Minimization for Equilibrium Transition

Haoqiang Huang, Zihe Wang, Zhide Wei et al.

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption

Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.

Knowledge-Aware Neuron Interpretation for Scene Classification

Yong Guan, Freddy Lecue, Jiaoyan Chen et al.

Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval

Zhiqian Zhao, Liang Li, Jiehua Zhang et al.

GSO-Net: Grid Surface Optimization via Learning Geometric Constraints

Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.

RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection

Xinquan Yu, Ziqi Sheng, Wei Lu et al.

Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving

Xin Ma, Jiguang Zhang, Peng Lu et al.

IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation

Runxin Liu, Tian Xie, Jiaming Li et al.

A Continuous-time Tractable Model for Present-biased Agents

Yasunori Akagi, Hideaki Kim, Takeshi Kurashima

An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships

Spencer Killen, Jia-Huai You, Jesse Heyninck

Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing

Qihua Chen, Xuejin Chen, Chenxuan Wang et al.

An And-Sum Circuit with Signed Edges That Is More Succinct than SDD

Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation

Yatong Sun, Xiaochun Yang, Zhu Sun et al.

Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning

Chaofan Chen, Xiaoshan Yang, Changsheng Xu

Interpretable Failure Detection with Human-Level Concepts

Kien X. Nguyen, Tang Li, Xi Peng

Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis

Zhenhua Wu, Linxuan Jiang, Xiang Li et al.

TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization

Anay Majee, Maria Xenochristou, Wei-Peng Chen

Counting and Reasoning with Plans

David Speck, Markus Hecher, Daniel Gnad et al.

WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting

Zichi Zhang, Tuan Dung Pham, Yimeng An et al.

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity

Matej Benko, Iwona Chlebicka, Jorgen Endal et al.

Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis

João Pedro Gandarela de Souza, Danilo Carvalho, André Freitas

Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition

Tianyu Ren, Hui Wang, Karen Rafferty

Attention Bootstrapping for Multi-Modal Test-Time Adaptation

Yusheng Zhao, Junyu Luo, Xiao Luo et al.

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm

Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.

Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing

Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu et al.

Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers

Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue et al.

On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries

Dimitris Fotakis, Laurent Gourvès, Panagiotis Patsilinakos

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning

Chao Li, Yupeng Zhang, Jianqi Wang et al.

Nuance Matters: Probing Epistemic Consistency in Causal Reasoning

Shaobo Cui, Junyou Li, Luca Mouchel et al.

FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models

Xinye Yang, Yuxin Yang, Haoran Pang et al.

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection

Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.

SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing

Ruihuang Li, Liyi Chen, Zhengqiang Zhang et al.

Generalizing Constraint Models in Constraint Acquisition

Dimos Tsouros, Senne Berden, Steven Prestwich et al.

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Wen Huang, Xintao Wu

Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)

Christian Kindermann, Anne-Marie George, Bijan Parsia et al.

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.

Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning

Jia Wang, Yawen Li, Yingxia Shao et al.

A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning

Minyoung Kim, Timothy Hospedales

Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models

Li Zheng, Liangbin Xie, Jiantao Zhou et al.

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Yanhua Li, Xiaocao Ouyang, Chaofan Pan et al.

Goal-Driven Reasoning in DatalogMTL with Magic Sets

Shaoyu Wang, Kaiyue Zhao, Dongliang Wei et al.

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J.X. Guo, Sihan Sun et al.

Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence

Jorge Fandinno, Zachary Hansen

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis

Jie Qiao, Yu Xiang, Zhengming Chen et al.

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification

Leilei Wang, Si Shi, Fei Ma et al.

ContextHOI: Spatial Context Learning for Human-Object Interaction Detection

Mingda Jia, Liming Zhao, Ge Li et al.

Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method

Jiate Li, Meng Pang, Binghui Wang

Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space

Xingyu Zhu, Guanhui Ye, Chengdong Dong et al.

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology

Liang Yang, Zhenna Li, Jiaming Zhuo et al.

MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models

Tian Liang, Yuetian Du, Jing Huang et al.

Exploring Task-Level Optimal Prompts for Visual In-Context Learning

Yan Zhu, Huan Ma, Changqing Zhang

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham et al.