Summary of Graph Neural Networks For Learning Equivariant Representations Of Neural Networks, by Miltiadis Kofinas et al.
Graph Neural Networks for Learning Equivariant Representations of Neural Networksby Miltiadis Kofinas, Boris Knyazev, Yan…
Graph Neural Networks for Learning Equivariant Representations of Neural Networksby Miltiadis Kofinas, Boris Knyazev, Yan…
Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object…
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selectionby Mohammad Jafari, Yimeng…
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Databy Danyang Wang, Chengchun Shi, Shikai…
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learningby Jason L. Harman, Jaelle ScheuermanFirst…
Near-Optimal Solutions of Constrained Learning Problemsby Juan Elenter, Luiz F. O. Chamon, Alejandro RibeiroFirst submitted…
Complete and Efficient Graph Transformers for Crystal Material Property Predictionby Keqiang Yan, Cong Fu, Xiaofeng…
Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Gridsby Andreas Bott,…
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modulesby Xiangyu Chen, Jing Liu, Ye Wang, Pu…
KnFu: Effective Knowledge Fusionby S. Jamal Seyedmohammadi, S. Kawa Atapour, Jamshid Abouei, Arash MohammadiFirst submitted…