UEMNet: A Lightweight General-Purpose Convolutional Neural Network for Environmental Applications
Thomas Wang Wei Hong, Ningchang Gan
Poster
AI4X 2025 Papers
International Conference on AI for X
Decision breakdown
236papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral14461.0%
- Poster9239.0%
Browse all papers
TitleTypeTopic
Do LLMs Understand Calculus? Evaluating Symbolic Math Generalization with ASyMOB
Michael Shalyt, Rotem Elimelech, Ido Kaminer
Oral
Oral
Poster
ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
Kevin Michalewicz, Mauricio Barahona, Barbara Bravi
Oral
Opportunities and Challenges of Generative AI (GenAI) Applications in the Construction Industry
HWANG BON GANG, Zhu Hanjing, Shi Maruoyan, LIANG MINGXUAN
Poster
Oral
Thermal Effects on Optoelectronics: A Graph Neural Network Approach
Pol Benítez, Edgardo Saucedo, Claudio Cazorla
Oral
DARWIN 1.5 : Large Language Models as Materials Science Adapted Learners
Tong Xie, Yuwei Wan, Yuchen Zeng, Clara Grazian, Wenjie Zhang, Dongzhan Zhou, Yixuan Liu, Shaozhou Wang, Chunyu Kit, Wanli Ouyang, Bram Hoex
Oral
Machine Learning-Driven Insights for Phase-Stable FAxCs1–xPb(IyBr1–y)3 Perovskites in Tandem Solar Cells
Ran Luo, Yi Hou
Oral
Composition driven machine learning for unearthing high-strength lightweight multi-principal element alloys
Chee Koon Ng
Oral
Machine learning-enhanced material dynamics simulations using generative methods integrated with experimental data for applications in Energy and Drug Discovery
Alessio Gagliardi, Gohar Ali Siddiqui, Ioannis Kouroudis, Angela Casini
Poster
Accelerating crystal structure prediction and liquid electrolyte simulations using actively-trained moment tensor potentials
Nikita Rybin, Evgeny Moerman, Mikhail Polovinkin, Ivan Novikov, Alexander Shapeev
Poster
Towards sustainable pathway identification from biowaste resources to chemicals using knowledge graphs
Adarsh Arun, Alexei Lapkin
Poster
Time evolution with neural quantum states
Dingzu Wang
Poster
Self-supervised GNN for clustering of two-dimensional materials
Ivan Savochkin, Yihao Wei, Anupam Bhattacharya, Artem Mishchenko
Poster
Poster
CogCommon: Enhancing Cross-Domain Knowledge Extraction with LLM-Assisted Commonality Discovery
Chong Hu, Hangwei Qian, Ivor Tsang
Oral
Dynamical error metrics for machine learning forecasting
Zhou FANG, Gianmarco Mengaldo
Oral
Discovering solid electrolytes through the analysis of machine-learned potential energy surfaces
Artem Maevskiy, Alexandra Carvalho, Emil Sataev, Volha Turchyna, Keian Noori, Aleksandr Rodin, A. H. Castro Neto, Andrey E. Ustyuzhanin
Oral