AAAI 2026

4,920 papers

Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds (Abstract Reprint)

Matthias Zeller, Vardeep Singh Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint)

Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu

Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint)

Chuyuan Wei, Ke Duan, Shengda Zhuo, Hongchun Wang, Shuqiang Huang

Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint)

Xinyan Wang, Jinshuo Liu, Juan Deng, Meng Wang, Qian Deng

Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint)

Lei Wang, Piotr Koniusz

TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint)

Alex X. Wang, Binh P. Nguyen

Generating Streamlining Constraints with Large Language Models (Abstract Reprint)

Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider

On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint)

Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti, Tran Cao Son

A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint)

Wijnand van Woerkom, Davide Grossi, Henry Prakken, Bart Verheij

End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint)

Abdolreza Taheri, Amy Rankka, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo

Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion (Abstract Reprint)

Gaurav Sharma, Jeff Calder, Rajesh Rajamani

Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control (Abstract Reprint)

Erfan Shahriari, Petr Svarny, Seyed Ali Baradaran Birjandi, Matej Hoffmann, Sami Haddadin

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint)

Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos

SICNav: Safe and Interactive Crowd Navigation Using Model Predictive Control and Bilevel Optimization (Abstract Reprint)

Sepehr Samavi, James R. Han, Florian Shkurti, Angela P. Schoellig

Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint)

Mayra Russo, Maria-Esther Vidal

PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint)

Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S. Chirikjian

Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint)

Patrick Rodler, Birgit Hofer, Dietmar Jannach, Iulia Nica, Franz Wotawa

Artificial Immune System of Secure Face Recognition Against Adversarial Attacks (Abstract Reprint)

Min Ren, Yunlong Wang, Yuhao Zhu, Yongzhen Huang, Zhenan Sun

CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition (Abstract Reprint)

Pablo Pueyo, Juan Dendarieta, Eduardo Montijano, Ana Cristina Murillo, Mac Schwager

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint)

Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr

Causal Explanations for Sequential Decision Making (Abstract Reprint)

Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein

db-ECBS: Interaction-Aware Multirobot Kinodynamic Motion Planning (Abstract Reprint)

Akmaral Moldagalieva, Joaquim Ortiz-Haro, Wolfgang Hönig

Recursive Causal Discovery (Abstract Reprint)

Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash

CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles (Abstract Reprint)

Dejan Milojevic, Gioele Zardini, Miriam Elser, Andrea Censi, Emilio Frazzoli

Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint)

Robert McCarthy, Daniel C.H. Tan, Dominik Schmidt, Fernando Acero, Nathan Herr

Approximating Problems in Abstract Argumentation with Graph Convolutional Networks (Abstract Reprint)

Lars Malmqvist, Tangming Yuan, Peter Nightingale

Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint)

Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva

The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)

Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz

The Cost and Complexity of Minimizing Envy in House Allocations (Abstract Reprint)

Jayakrishnan Madathil, Neeldhara Misra, Aditi Sethia

MAGIC VFM-Meta-Learning Adaptation for Ground Interaction Control with Visual Foundation Models (Abstract Reprint)

Elena-Sorina Lupu, Fengze Xie, James Preiss, Jedidiah Alindogan, Matthew Anderson

Linguistic Steganography via Self-Adjusting Asymmetric Number System (Abstract Reprint)

Yiting Liu, Chungen Xu, Fei Yang, Pan Zhang, Linlong Wang

A Framework for Belief-based Programs and Their Verification (Abstract Reprint)

Daxin Liu, Gerhard Lakemeyer

A Compliant Robotic Leg Based on Fibre Jamming (Abstract Reprint)

Lois Liow, James Brett, Josh Pinskier, Lauren Hanson, Louis Tidswell

Generative Graphical Inverse Kinematics (Abstract Reprint)

Oliver Limoyo, Filip Marić, Matthew Giamou, Petra Alexson, Ivan Petrović

Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint)

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint)

Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles

Multimodal Super-Resolution: Discovering Hidden Physics and Its Application to Fusion Plasmas (Abstract Reprint)

Azarakhsh Jalalvand, SangKyeun Kim, Jaemin Seo, Qiming Hu, Max Curie

LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint)

Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl

Social Behavior as a Key to Learning-Based Multi-Agent Pathfinding Dilemmas (Abstract Reprint)

Chengyang He, Tanishq Duhan, Parth Tulsyan, Patrick Kim, Guillaume Sartoretti

Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint)

Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening

NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint)

Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Jianjun Chen

A Simple Proof-Theoretic Characterization of Stable Models: Reduction to Difference Logic and Experiments (Abstract Reprint)

Martin Gebser, Enrico Giunchiglia, Marco Maratea, Marco Mochi

Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint)

Marcos V. Ferreira, Matheus Souza, Tatiane N. Rios, Islame F. C. Fernandes, Jorge Nery

Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint)

Fu Feng, Jing Wang, Xu Yang, Xin Geng

Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint)

Mourad El Hamri, Younès Bennani, Issam Falih

Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Mulit-agent Reinforcement Learning Systems (Abstract Reprint)

Nayana Dasgupta, Mirco Musolesi

Information Elicitation Mechanisms for Bayesian Auctions (Abstract Reprint)

Jing Chen, Bo Li, Yingkai Li

Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint)

Jatin Chaudhary, Dipak Nidhi, Jukka Heikkonen, Harri Merisaari, Rajeev Kumar Kanth

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint)

João Carvalho, An Thai Le, Piotr Kicki, Dorothea Koert, Jan Peters

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination (Abstract Reprint)

Christian Brommer, Alessandro Fornasier, Jan Steinbrener, Stephan Weiss

Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint)

Rahul Bordoloi, Clémence Réda, Orell Trautmann, Saptarshi Bej, Olaf Wolkenhauer

Interpreting Capsule Networks for Image Classification by Routing Path Visualization (Abstract Reprint)

Amanjot Bhullar, Michael Czomko, R. Ayesha Ali, Douglas L. Welch

A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint)

Jovana Aleksic, Miguel García-Remesal

Analysing Satellite Imagery Classification Under Spatial Domain Shift Across Geographic Regions (Abstract Reprint)

Sara A. Al-Emadi, Yin Yang, Ferda Ofli

La VIDA: Towards a Motivated Goal Reasoning Agent (Abstract Reprint)

Ursula Addison

Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact

Ben Zhou

Towards Inclusive AI: Advancing Multilingual Large Language Models

Wenxuan Zhang

Reinforcement Learning Without Explicit Rewards: Theory and Practice

Weitong ZHANG

Towards Robust, Reliable, and Generalized Medical AI

Chenyu You

Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System

Jaehong Yoon

Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems

Xingyi Yang

Toward Causal Foundation World Models: From Representation to Decision-Making

Mengyue Yang

Efficient Model Specialization via Training-time and Test-time Adaptation

Huanrui Yang

Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications

Honghao Wei

From Representation to Reasoning: Toward General-Purpose Visual Intelligence

CHEN WEI

From Few-Shot Learning to Data-Efficient Intelligence

Yaqing Wang

KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare

Kai Wang

Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels

Zixing Song

Data-Efficient and Contact-Rich Manipulation Through Diffusion Augmentation and Vision-Language Models

Daniel Seita

Toward Trustworthy AI for Decision Making in Population Health

Alexander Rodriguez

Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models

Jingchao Ni

Towards Aligned and Efficient Large Language Models

Yu Meng

Learning from Imperfect Data: Incremental Learning and Few-shot Learning

Yaoyao Liu

All-Purpose Mean Estimation over R

Jasper C.H. Lee

Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute

Jiaxin Huang

Scaling Human-Centric Trustworthy Foundation Model via Advanced Reasoning and Agentic Frameworks

Yi Ren (May) Fung

Teach AI What It Doesn’t Know

Xuefeng Du

Augmenting Human Creativity with Machine Learning

Hao-Wen Dong

Unlocking the Power of Large Multimodal Models for Robot Learning: Robustness, Generalization, and Opportunities

Mingyu Ding

Towards Human-centered Proactive Conversational AI

Yang Deng

Bridging Public Health with Clinical Decisions from a Data Centric Perspective

Jiaming Cui

Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders

Grigorios Chrysos

Towards Agents That Exhibit Human-Like Autonomy in Complex Environments

Rohan Chandra

Towards Trustworthy Multimodal AI Systems

Chirag Agarwal

Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation

Mayank Vatsa, Aparna Bharati, Richa Singh

Voting in Divisible Settings: A Survey

Warut Suksompong, Nicholas Teh

Scaling Up AI Alignment

Aarti Singh

Implications for AI Research: Applying Lessons from the Expert Systems Boom and Bust to the Current Large-Language Model Boom

Ted Senator

10 Open Challenges Steering the Future of Vision-Language-Action Models

Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li

Why Isn’t Relational Learning Taking Over the World?

David Poole

Is Word Sense Disambiguation Dead in the LLM Era?

Roberto Navigli

Responsible Mechanism Design

Pavel Naumov

Rethinking AI: From Functions to Functors

Sridhar Mahadevan

System L: Toward System 2-Style Legal Reasoning

Chuanyi Li, Yi Feng, Vincent Ng

The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI

Stefan Kramer, Lennart Baur, Lars Reinhardt

Complex Reasoning over Vision and Language --Leveraging Neurosymbolic AI

Parisa Kordjamshidi

Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science

Anuj Karpatne, Xiaowei Jia, Vipin Kumar

Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability

Hen-Hsen Huang

Aligning Generative Music AI with Human Preferences: Methods and Challenges

Dorien Herremans, Abhinaba Roy

Multi-Agent Path Finding with Unassigned Agents (MAPFUA)

Ariel Felner, Roni Stern