AAAI

Local Causal Discovery for Structural Evidence of Direct Discrimination

Jacqueline Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang

Journal ref The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)

Federated Graph Condensation with Information Bottleneck Principles

Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi

Comments 14 pages. Accepted by AAAI 2025

Sample Complexity of Linear Regression Models for Opinion Formation in Networks

Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Vullikanti, Omer Wasim, Haifeng Xu

Comments AAAI 2025

ExpeL: LLM Agents Are Experiential Learners

Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

Comments Accepted by the 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24)

Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents

Jessica Woodgate, Paul Marshall, Nirav Ajmeri

Comments 14 pages, 7 figures, 8 tables (and supplementary material with reproducibility and additional results), accepted at AAAI 2025

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation

Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min

Comments AAAI 2025

Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers

Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

Comments Accepted at AAAI 2025

Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis

Daniil Averkov, Tatiana Belova, Gregory Emdin, Mikhail Goncharov, Viktoriia Krivogornitsyna, Alexander S. Kulikov, Fedor Kurmazov, Daniil Levtsov, Georgie Levtsov, Vsevolod Vaskin, Aleksey Vorobiev

Comments To appear in AAAI 2025

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models

Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Hunag, Yuhua Tang

Comments Accepted by AAAI 2025

Journal ref AAAI 2025

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering

Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang

Comments AAAI 2025

Large-scale School Mapping using Weakly Supervised Deep Learning for Universal School Connectivity

Isabelle Tingzon, Utku Can Ozturk, Ivan Dotu

Comments Accepted at AAAI-25 Special Track on AI for Social Impact (AISI)

SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection

Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang, Hanzhi Zhong, Xijun Zhao, Ruina Dang, Peng Xu, Tianyu Pu, Eryun Liu

Comments Accepted by AAAI 2025

Does VLM Classification Benefit from LLM Description Semantics?

Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer

Comments AAAI-25 (extended version), Code: https://github.com/CompVis/DisCLIP

ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis

Xiangheng He, Junjie Chen, Zixing Zhang, Björn W. Schuller

Comments Accepted by AAAI 2025

Knowledge Tagging with Large Language Model based Multi-Agent System

Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen

Comments Accepted by AAAI 2025 (AAAI/IAAI 2025 Innovative Application Award)

DepthFM: Fast Monocular Depth Estimation with Flow Matching

Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

Comments AAAI 2025, Project Page: https://github.com/CompVis/depth-fm

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

Shoumeng Qiu, Xinrun Li, XiangYang Xue, Jian Pu

Comments AAAI 2025

Fair Division with Social Impact

Michele Flammini, Gianluigi Greco, Giovanna Varricchio

Comments Accepted paper at AAAI'25

FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities

Byeonghun Kim, Byeongjoon Noh

Comments 8 pages, 7 figures, AAAI 2025 FLUID Workshop

FROC: Building Fair ROC from a Trained Classifier

Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar

Comments 51 pages, The 39th Annual AAAI Conference on Artificial Intelligence

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions

Youngmin Oh, Hyunju Lee, Bumsub Ham

Comments Accepted to AAAI 2025

Qua$^2$SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models

Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu

Comments AAAI 2025; version includes supplementary material; 22 Pages, 18 Figures, 8 Tables

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues

Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin

Comments 24 pages, 5 fgiures, AAAI 2025

Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network

Kunpeng Wang, Keke Chen, Chenglong Li, Zhengzheng Tu, Bin Luo

Comments Accepted by AAAI 2025

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

Xiaoyu Hu, Zhenhua Lin

Comments 27 pages, 7 figures; accepted by AAAI-25

{S$^3$-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation

Gui Wang, Yuexiang Li, Wenting Chen, Meidan Ding, Wooi Ping Cheah, Rong Qu, Jianfeng Ren, Linlin Shen

Comments Accept by AAAI 2025

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis

Yu Zhu, Bo Lei, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang

Comments AAAI 2025

Efficient Self-Supervised Video Hashing with Selective State Spaces

Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia

Comments Accepted by AAAI'25. 9 pages, 5 figures, 2 tables

Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

Luis Roque, Carlos Soares, Vitor Cerqueira, Luis Torgo

Comments Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25), February 25-March 4, 2025, Philadelphia, Pennsylvania, USA

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning

Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble

Comments Accepted for publication in AAAI 2025 (Main Track)