Summary of Pessimistic Asynchronous Sampling in High-cost Bayesian Optimization, by Amanda A. Volk et al.
Pessimistic asynchronous sampling in high-cost Bayesian optimizationby Amanda A. Volk, Kristofer G. Reyes, Jeffrey G.…
Pessimistic asynchronous sampling in high-cost Bayesian optimizationby Amanda A. Volk, Kristofer G. Reyes, Jeffrey G.…
Advanced Multimodal Deep Learning Architecture for Image-Text Matchingby Jinyin Wang, Haijing Zhang, Yihao Zhong, Yingbin…
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Networkby Zesheng Liu, Maryam…
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement…
Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasksby Minjong CheonFirst submitted to arxiv on:…
Efficient Graph Similarity Computation with Alignment Regularizationby Wei Zhuo, Guang TanFirst submitted to arxiv on:…
An Idiosyncrasy of Time-discretization in Reinforcement Learningby Kris De Asis, Richard S. SuttonFirst submitted to…
On the growth of the parameters of approximating ReLU neural networksby Erion Morina, Martin HollerFirst…
Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for…
Unlocking the Global Synergies in Low-Rank Adaptersby Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D.…