Most Cited AAAI "lidar point clouds" Papers

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing

Seungcheol Lee, Moohong Min

DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation

Junghun Lee, Hyunju Kim, Fanchen Bu et al.

DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization

Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee

Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning

Jeong Woon Lee, Hyoseok Hwang

HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation

Giwoong Lee, Jiseung Ahn, Jeongyeol Choe

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Truncated Gaussian Policy for Debiased Continuous Control

Ganghun Lee, Minji Kim, Minsu Lee et al.

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Kailei Guo et al.

Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP

Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.

Multimodal Graph Neural Architecture Search under Distribution Shifts

Jie Cai, Xin Wang, Haoyang Li et al.

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization

Yuanhao Lai, Pengfei Zheng, Chenpeng Ji et al.

Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks

Lorenz Kummer, Samir Moustafa, Wilfried Gansterer et al.

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning

Yongjian Deng, Hao Chen, Youfu Li

Selective Uncertainty Propagation in Offline RL

Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya et al.

Sample-aware Adaptive Structured Pruning for Large Language Models

Jun Kong, Xinge Ma, Jin Wang et al.

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms

Yadong Xu, Bonan Ni, Weiran Shen et al.

Diffusion-Based Active Learning for Distributed Client Manifolds

Kwang In Kim

T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation

Dongyeon Kim, Yejin Kan, Gangman Yi

Learning Structural Causal Models from Ordering: Identifiable Flow Models

Minh Khoa Le, Kien Do, Truyen Tran

ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP

Subhendu Khatuya, Ritvik Vij, Paramita Koley et al.

On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs

Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair

GenPlan: Generative Sequence Models as Adaptive Planners

Akash Karthikeyan, Yash Vardhan Pant

AudioGenX: Explainability on Text-to-Audio Generative Models

Hyunju Kang, Geonhee Han, Yoonjae Jeong et al.

Discovering Symmetries of ODEs by Symbolic Regression

Paul Kahlmeyer, Niklas Merk, Joachim Giesen

IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations

Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth et al.

Transportable Representations for Domain Generalization

Kasra Jalaldoust, Elias Bareinboim

M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge

Xuanming Jiang, Baoyi An, Guoshuai Zhao et al.

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering

Bingbing Jiang, Chenglong Zhang, Xinyan Liang et al.

Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization

Xuemei Jia, Jiawei Du, Hui Wei et al.

LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions

Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.

Association Pattern-enhanced Molecular Representation Learning

Lingxiang Jia, Yuchen Ying, Tian Qiu et al.

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection

Jaeseok Jang, Hyuk-Yoon Kwon

Discovering Options That Minimize Average Planning Time

Alexander Ivanov, Akhil Bagaria, George Konidaris

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Lulu Cao, Yufei Liu, Zhenzhong Wang et al.

Approximate State Abstraction for Markov Games

Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression

Xinhao Huang, You-Liang Huang, Zeyi Wen

GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation

Wei Huang, Lei Zhang, Zizhou Wang et al.

SHAP\@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lecue et al.

Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling

Shiluo Huang, Yining Jin, Wei Jin et al.

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning

Jintao Huang, Yiu-ming Cheung, Chi-man Vong et al.

Multi-view Evidential Learning-based Medical Image Segmentation

Chao Huang, Yushu Shi, Waikeung Wong et al.

Bi-directional Adapter for Multimodal Tracking

Bing Cao, Junliang Guo, Pengfei Zhu et al.

TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning

Baichuan Huang, Amir Aminifar

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Tongzhou Zhang, Gang Wang, Yu Chen et al.

R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration

Yang Hua, Tianyang Xu, Xiaoning Song et al.

Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift

Xiaoyu Hu, Zhenhua Lin

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing

Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan et al.

Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition

Bo Hu, Kai Zhang, Yanghai Zhang et al.

Multimodal Promptable Token Merging for Diffusion Models

Cheng-Yao Hong, Tyng-Luh Liu

KernelMatmul: Scaling Gaussian Processes to Large Time Series

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning

Data Augmentation for Instruction Following Policies via Trajectory Segmentation

Niklas Hoepner, Ilaria Tiddi, Herke van Hoof

Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling

Marzi Heidari, Yuhong Guo

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies

Zhouyu He, Peng Qiao, Rongchun Li et al.

Stratified GNN Explanations through Sufficient Expansion

CAMH: Advancing Model Hijacking Attack in Machine Learning

Xing He, Jiahao Chen, Yuwen Pu et al.

Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation

Qiuyan He, Minghua Deng

DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework

Zhihao Hao, Bob Zhang, Haisheng Li

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Scalable Acceleration for Classification-Based Derivative-Free Optimization

Tianyi Han, Jingya Li, Zhipeng Guo et al.

DrugHash: Hashing Based Contrastive Learning for Virtual Screening

Jin Han, Yun Hong, Wu-Jun Li

Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration

Karina Halevy, Karly Hou, Charumathi Badrinath

CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning

Qiuru Hai, Yongjian Deng, Yuena Lin et al.

Federated Causally Invariant Feature Learning

Xianjie Guo, Kui Yu, Lizhen Cui et al.

Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment

Haoren Guo, Haiyue Zhu, Jiahui Wang et al.

Heterogeneous Graph Neural Network on Semantic Tree

Mingyu Guan, Jack W Stokes, Qinlong Luo et al.

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs

Tony Gracious, Arman Gupta, Ambedkar Dukkipati

Efficient Graph Bandit Learning with Side-Observations and Switching Constraints

Xueping Gong, Jiheng Zhang

Conformal Prediction for Partial Label Learning

Xiuwen Gong, Nitin Bisht, Guandong Xu

An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning

Fengjiiao Gong, Angxiao Yue, Hongteng Xu

Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning

Zijian Gao, Shanhao Han, Xingxing Zhang et al.

Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning

Min Gao, Haifeng Zheng, Xinxin Feng et al.

Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization

QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception

Fei Gao, Ying Zhou, Ziyun Li et al.

Accurate Estimation of Feature Importance Faithfulness for Tree Models

Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki et al.

A Unifying Information-theoretic Perspective on Evaluating Generative Models

Alexis Fox, Samarth Swarup, Abhijin Adiga

Incremental Nyström-based Multiple Kernel Clustering

Yu Feng, Weixuan Liang, Xinhang Wan et al.

Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization

Wei Feng, Danting Liu, Qianqian Wang et al.

Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization

Songtao Feng, Michael Dorothy, Jie Fu

Rapid Learning in Constrained Minimax Games with Negative Momentum

Zijian Fang, Zongkai Liu, Chao Yu et al.

3SAT: A Simple Self-Supervised Adversarial Training Framework

Jiang Fang, Haonan He, Jiyan Sun et al.

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning

Wenzhe Fan, Zishun Yu, Chengdong Ma et al.

G2L-CariGAN: Caricature Generation from Global Structure to Local Features

Xin Huang, Yunfeng Bai, Dong Liang et al.

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport

Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi

A Unified Knowledge Transfer Network for Generalized Category Discovery

Wenkai Shi, Wenbin An, Feng Tian et al.

Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification

Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara et al.

Proportionally Fair Matching via Randomized Rounding

Sharmila Duppala, Nathaniel Grammel, Juan Luque et al.

Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs

Wei Du, Hongmin Sun, Hang Gao et al.

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints

Zhiwei Dong, Mingzhu Shen, Shihao Bai et al.

Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games

Shaokang Dong, Chao Li, Shangdong Yang et al.

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?

Wenjun Ding, Ying An, Lixing Chen et al.

Semi-supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning

Wensheng Pan, Timin Gao, Yan Zhang et al.

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data

Shilong Deng, Zetao Zheng, Hongcai He et al.

Expected Hypervolume Improvement Is a Particular Hypervolume Improvement

Jingda Deng, Jianyong Sun, Qingfu Zhang et al.

Skill Disentanglement in Reproducing Kernel Hilbert Space

Vedant Dave, Elmar Rueckert

LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities

Jiahui Qu, Yuanbo Yang, Wenqian Dong et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Federated Binary Matrix Factorization Using Proximal Optimization

Sebastian Dalleiger, Jilles Vreeken, Michael Kamp

Creating Coherence in Federated Non-Negative Matrix Factorization

Sebastian Dalleiger, Aristides Gionis

Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization

Yawen Cui, Li Liu, Zitong Yu et al.

Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings

Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail et al.

WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization

Minjie Cheng, Dixin Luo, Hongteng Xu

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement

Kai Shang, Mingwen Shao, Chao Wang et al.

GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling

Yujie Chen, Wenhui Wu, Le Ou-Yang et al.

Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing

Yiyuan Chen, Donghai Guan, Weiwei Yuan et al.

Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting

Lingdong Shen, Chunlei Huo, Nuo Xu et al.

The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards

Xi Chen, Zhihui Zhu, Andrew Perrault

Learnware Specification via Label-Aware Neural Embedding

Wei Chen, Jun-Xiang Mao, Min-Ling Zhang

Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities

Junchi Chen, Richong Zhang, Junfan Chen

Biased Incomplete Multi-View Learning

Haishun Chen, Cai Xu, Ziyu Guan et al.

Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space

Ao Chen, Xiren Zhou, Huanhuan Chen

Weighted Embeddings for Low-Dimensional Graph Representation

Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann et al.

Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure

Arthur Bizzi, Lucas Nissenbaum, João M. Pereira

Learnability of Parameter-Bounded Bayes Nets

Arnab Bhattacharyya, Davin Choo, Sutanu Gayen et al.

Teaching Models to Improve on Tape

Liat Bezalel, Eyal Orgad, Amir Globerson

Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning

Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao et al.

A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time

Gabriel Bathie, Guillaume Lagarde

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

Deep-Union Completion

Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón

EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity

Hongyan Bao, Pengwen Chen, Ying Sun et al.

List Update with Prediction

Yossi Azar, Shahar Lewkowicz, Varun Suriyanarayana

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data

Bailey Andrew, David R. Westhead, Luisa Cutillo

Improving Deep Learning Speed and Performance Through Synaptic Neural Balance

Antonios Alexos, Ian Domingo, Pierre Baldi

Exponential-Family Harmoniums with Neural Sufficient Statistics

Azwar Abdulsalam, Joseph G. Makin

Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning

Daoming Zong, Chaoyue Ding, Kaitao Chen et al.

A Theory of Formalisms for Representing Knowledge

Heng Zhang, Guifei Jiang, Donghui Quan

MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution

Shuying Huang, Ge Chen, Yong Yang et al.

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

What Is a Good Question? Assessing Question Quality via Meta-Fact Checking

Bo Zhang, Jianghua Zhu, Chaozhuo Li et al.

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

Malek Mechergui, Sarath Sreedharan

SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion

Chuhong Yang, Bin Li, Nan Wu

Temporal Conjunctive Query Answering via Rewriting

Lukas Westhofen, Jean Christoph Jung, Daniel Neider

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks

Yajing Wang, Zongwei Luo, Jingzhe Wang et al.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks

Wentao Wan, Zhuojie Yang, Yongcan Chen et al.

Quantum-Inspired Neural Network with Runge-Kutta Method

Zipeng Fan, Jing Zhang, Peng Zhang et al.

Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models

Yu Sheng, Linjing Li, Daniel Dajun Zeng

A Variable Occurrence-Centric Framework for Inconsistency Handling

Yakoub Salhi

Shield Synthesis for LTL Modulo Theories

Andoni Rodríguez, Guy Amir, Davide Corsi et al.

Checking Consistency of CP-Theory Preferences in Polynomial Time

Erik Rauer, Samik Basu, Vasant Honavar

A Logical Analysis of Hanabi

Elise Perrotin

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs

Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.

SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning

Li Ni, Rui Ye, Wenjian Luo et al.

Cross-Constrained Progressive Inference for 3D Hand Pose Estimation

ZheHan Kan, Xueting Hu, Zihan Liao et al.

Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process

Idan Toker, David Sarne, Jonathan Schler

Probabilistic Strategy Logic with Degrees of Observability

Chunyan Mu, Nima Motamed, Natasha Alechina et al.

Decomposing Constraint Networks for Calculating c-Representations

Marco Wilhelm, Gabriele Kern-Isberner

Consistent Query Answering over Existential Rules with Open and Closed Predicates

Lorenzo Marconi, Riccardo Rosati

Temporal Specification Optimisation for the Event Calculus

Periklis Mantenoglou, Alexander Artikis

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis

Rongchao Zhang, Yu Huang, Yiwei Lou et al.

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks

Sheng Long, Wei Tao, Shuohao LI et al.

Spectra of Cardinality Queries over Description Logic Knowledge Bases

Quentin Manière, Marcin Przybyłko

Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning

Gopendra Singh, Mauajama Firdaus, Dushyant Singh Chauhan et al.

On Action Theories with Iterable First-Order Progression

Daxin Liu, Jens Claßen

StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography

Xiao Ke, Huanqi Wu, Wenzhong Guo

A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity

Ruiqi Jin, Yongmei Liu, Liping Xiong

Transferable Video Moment Localization by Moment-Guided Query Prompting

Hao Jiang, Yang Yizhang, Yadong Mu

Energy-Efficient Streaming Time Series Classification with Attentive Power Iteration

Hao Huang, Tapan Shah, Scott Evans et al.

APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty

Yue Jian, Xiangyu Luo, Zhifei Li et al.

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Jizhou Wu, Jianye Hao, Tianpei Yang et al.

Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming

Yusuf Izmirlioglu

New Compilation Languages Based on Restricted Weak Decomposability

Petr Illner

LTLf Synthesis Under Unreliable Input

Christian Hagemeier, Giuseppe de Giacomo, Moshe Y. Vardi

Principle Component Trees and Their Persistent Homology

Ben Kizaric, Daniel Pimentel-Alarcon

Knowledge-Aware Explainable Reciprocal Recommendation

Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.

Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem

Qingyun Zhang, YuMing Du, Zhipeng Lü et al.

On the Logic of Theory Base Change: Reformulation of Belief Bases

Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

Solving Epistemic Logic Programs Using Generate-and-Test with Propagation

Jorge Fandinno, Lute Lillo

Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth

Mateus de Oliveira Oliveira

A Computationally Grounded Framework for Cognitive Attitudes

Tiago de Lima, Emiliano Lorini, Elise Perrotin et al.

Situation Calculus Temporally Lifted Abstractions for Generalized Planning

Giuseppe de Giacomo, Yves Lespérance, Matteo Mancanelli

Germane Conflicts: Desirable Properties for Localising Inconsistency

Glauber de Bona, Anthony Hunter

MFOS: Model-Free & One-Shot Object Pose Estimation

JongMin Lee, Yohann Cabon, Romain Brégier et al.

Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases

Gianluca Cima, Marco Console, Roberto Maria Delfino et al.

Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks

Stefano Bistarelli, Victor David, Pierre Monnin et al.

Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data

Na Zhao, Gim Hee Lee

Minimal Change in Modal Logic S5

Carlos Aguilera-Ventura, Jonathan Ben-Naim, Andreas Herzig

ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning

Sebastian Adam, Thomas Eiter

GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model

Hongliang Zeng, Ping Zhang, Fang Li et al.

BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays

Wentao Wang, Jiaqian Wang, Yuxin Deng et al.

Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks

Xianxu Qiu, Haiming Huang, Weiwei Chen et al.

Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints

Dolev Mutzari, Yonatan Aumann, Sarit Kraus

Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning

Peida Jia, Xuanheng Li, Tianqiang Zhu et al.

GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation

Soojin Jeong, Seongwan Byeon, Sangwoo Kim et al.

Integrating Inference and Experimental Design for Contextual Behavioral Model Learning

Gongtao Zhou, Haoran Yu

Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning

Ervine Zheng, Qi Yu

Learning to Collaborate with Unknown Agents in the Absence of Reward

Zuyuan Zhang, Hanhan Zhou, Mahdi Imani et al.

End-to-End Real-Time Vanishing Point Detection with Transformer

Xin Tong, Shi Peng, Yufei Guo et al.

Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning

Shuning Xu, Binbin SONG, Xiangyu Chen et al.

Current Page

CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking

Qiuyun Zhang, Bin Guo, Lina Yao et al.

Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning

Hui Miao, Yuanfang Guo, Zeming Liu et al.

MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning

Muzhou Yu, Shuyun Lin, Hongwei Yan et al.

Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy

Jian-Ping Mei, Weibin Zhang, Jie Chen et al.

Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning

Hao Wang, Li Xu, Yuntao Yu et al.