AAAI

VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao

Comments Accepted to AAAI 2025

Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail

Yina He, Lei Peng, Yongcun Zhang, Juanjuan Weng, Zhiming Luo, Shaozi Li

Comments Accepted by AAAI'25. Extended version with full appendix, 13 pages

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

Zijian Wang, Bin Wang, Haifeng Jing, Huayu Li, Hongbo Dou

Comments Accepted by AAAI-25

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin

Comments Accepted to AAAI 2025

DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors

Tianyu Huang, Haoze Zhang, Yihan Zeng, Zhilu Zhang, Hui Li, Wangmeng Zuo, Rynson W. H. Lau

Comments Accepted by AAAI 2025. Codes are released at: https://github.com/tyhuang0428/DreamPhysics

REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents using Information Relevance and Relative Proximity

SeungWon Seo, SeongRae Noh, Junhyeok Lee, SooBin Lim, Won Hee Lee, HyeongYeop Kang

Comments v2 is the AAAI'25 camera-ready version, including the appendix, which has been enhanced based on the reviewers' comments

Evolutionary Large Language Model for Automated Feature Transformation

Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu

Comments Accepted to AAAI 2025

Certification of Speaker Recognition Models to Additive Perturbations

Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan Oseledets

Comments 13 pages, 10 figures; AAAI-2025 accepted paper

Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks

Tony Gracious, Ambedkar Dukkipati

Comments AAAI-2025

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans

Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu

Comments Accepted by AAAI 2025

The VOROS: Lifting ROC curves to 3D

Christopher Ratigan, Lenore Cowen

Comments 9 pages, 7 figures, 5 tables. Accepted by the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs

Tony Gracious, Arman Gupta, Ambedkar Dukkipati

Comments AAAI-2025

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism

Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao

Comments AAAI 2025, 11 pages

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

Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan

Comments 13 pages, Accepted by AAAI 25

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning

Chenglin Li, Guangchun Ruan, Hua Geng

Comments Accepted by the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements

Rafael Dewes, Rayna Dimitrova

Comments Extended version of paper accepted at AAAI-25

On the Hardness of Training Deep Neural Networks Discretely

Ilan Doron-Arad

Comments Accepted to AAAI 2025

Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach

Hugo Math, Rainer Lienhart, Robin Schön

Comments 10 pages, 8 figures, accepted to AAAI 2025

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm

Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang

Comments Accepted by AAAI 2025

Relational Neurosymbolic Markov Models

Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra

Comments Accepted at AAAI 2025

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective

Hongyu Shen, Zhizhen Zhao

Comments 16 pages, 1 figure, 2 tables

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025)

Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling

Michael Heck, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Shutong Feng, Hsien-Chin Lin, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gašić

Comments 10 pages, 3 figures, accepted at AAAI'25

Multi-Subspace Matrix Recovery from Permuted Data

Liangqi Xie, Jicong Fan

Comments The paper was accepted by AAAI 2025

BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings

Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang

Comments Published at AAAI Conference on Artificial Intelligence, 2025

An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

Shreeyash Gowaikar, Srinivasan Iyengar, Sameer Segal, Shivkumar Kalyanaraman

Comments Accepted at the AAAI'25 Workshop on AI to Accelerate Science and Engineering (AI2ASE)

Suppressing Uncertainty in Gaze Estimation

Shijing Wang, Yaping Huang

Comments This paper has been accepted to AAAI 2024

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis

Jiexi Liu, Meng Cao, Songcan Chen

Comments Accepted by AAAI 2025

Bayesian Persuasion with Externalities: Exploiting Agent Types

Jonathan Shaki, Jiarui Gan, Sarit Kraus

Comments to be published in AAAI 2025

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning

Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu

Comments The paper is accepted by AAAI 2025

Benchmarking and Understanding Compositional Relational Reasoning of LLMs

Ruikang Ni, Da Xiao, Qingye Meng, Xiangyu Li, Shihui Zheng, Hongliang Liang

Comments Accepted to the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25)