AAAI

Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour

Comments AAAI Proceedings reference: AAAI/article/view/30579" target="_blank" rel="noopener">https://ojs.aaai.org/index.php/AAAI/article/view/30579

Journal ref 2024 Proceedings of the AAAI Conference on Artificial Intelligence

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation

Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen

Comments 9 pages, 6 figures, AAAI-24 Main Track

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 1 (March 25, 2024): 338-346

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

Comments AAAI 2024

A Generalized Neural Diffusion Framework on Graphs

Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi

Comments Accepted by AAAI 2024

Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(10), 10757-10765 (2024)

How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples

Dren Fazlija, Arkadij Orlov, Johanna Schrader, Monty-Maximilian Zühlke, Michael Rohs, Daniel Kudenko

Comments 3 pages, 3 figures, AAAI 2024 Spring Symposium on User-Aligned Assessment of Adaptive AI Systems

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts

Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin

Comments Accepted by AAAI 2024

Bayesian Optimisation for Active Monitoring of Air Pollution

Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard

Comments Presented at AAAI 2022 in the Special Track on AI for Social Impact. Updates: - Small corrections to references - Correction that baselines use gradient-based optimisation, not gradient descent - Correction to data preprocessing for LAQN data - Correction that the kernel signal variances were modelled internally, not their square roots - Correction to iteration for Table 3 (31, not 30)

GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding

Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury

Comments Published in AAAI Spring Symposium: AAAI-MAKE 2024

Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse

Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro

Comments Accepted at International AAAI Conference on Web and Social Media (ICWSM) 2024. Please cite accordingly!

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling

Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu

Comments Accepted to AAAI'24

Sustainability of Data Center Digital Twins with Reinforcement Learning

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi

Comments 2024 Proceedings of the AAAI Conference on Artificial Intelligence

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 20, pp. 22322-22330, Mar. 2024

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution

Yutao Yuan, Chun Yuan

Comments AAAI 2024

Emoji Promotes Developer Participation and Issue Resolution on GitHub

Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai

Comments Accepted by the 18th International AAAI Conference on Web and Social Media (ICWSM 2024)

The Complexity of Fair Division of Indivisible Items with Externalities

Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna, Šimon Schierreich

Comments A preliminary version appeared in AAAI '24

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens

Comments Accepted for publication in AAAI 2024

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(10), 10766-10774, 2024

Facility Location Games Beyond Single-Peakedness: the Entrance Fee Model

Mengfan Ma, Mingyu Xiao, Tian Bai, Bakh Khoussainov

Comments A preliminary version of this article appeared at AAAI '23

Maintaining User Trust Through Multistage Uncertainty Aware Inference

Chandan Agrawal, Ashish Papanai, Jerome White

Journal ref Presented at Deployable AI Workshop at AAAI-2024

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, 2024

Unraveling Batch Normalization for Realistic Test-Time Adaptation

Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang

Comments Accepted by AAAI 2024

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang

Comments Accepted by AAAI 2024

Semi-supervised Open-World Object Detection

Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer, Fahad Shahbaz Khan, Hisham Cholakkal

Comments Accepted to AAAI 2024 (Main Track)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence 2024

Fair Lotteries for Participatory Budgeting

Haris Aziz, Xinhang Lu, Mashbat Suzuki, Jeremy Vollen, Toby Walsh

Comments Appears in the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024

AI and Identity

Sri Yash Tadimalla, Mary Lou Maher

Comments 10 pages, 4 figures, AAAI Spring Symposium

PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky

Comments Accepted to AAAI2024 conference

Journal ref AAAI, vol. 38, no. 11, pp. 11901-11909, Mar. 2024

Goal Recognition as Reinforcement Learning

Leonardo Rosa Amado, Reuth Mirsky, Felipe Meneguzzi

Comments Accepted for publication in the 36th AAAI conference on Artificial Intelligence

Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD

Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

Comments 36 pages, in AAAI 2022

Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms

Mo Houtti, Isaac Johnson, Morten Warncke-Wang, Loren Terveen

Comments To appear at the 18th International AAAI Conference on Web and Social Media (ICWSM 2024)

Learning Invariant Inter-pixel Correlations for Superpixel Generation

Sen Xu, Shikui Wei, Tao Ruan, Lixin Liao

Comments Accepted by AAAI24

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 38(6), 6351-6359 (2024)

MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization

Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo, Hong-Seok Kim

Comments Proc. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI)