Summary of Multi-objective Deep Learning: Taxonomy and Survey Of the State Of the Art, by Sebastian Peitz and Sedjro Salomon Hotegni
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Artby Sebastian Peitz, Sedjro…
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Artby Sebastian Peitz, Sedjro…
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numericsby Kang Liu, Enrique ZuazuaFirst…
Tokenizing 3D Molecule Structure with Quantized Spherical Coordinatesby Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun…
Review of Mathematical Optimization in Federated Learningby Shusen Yang, Fangyuan Zhao, Zihao Zhou, Liang Shi,…
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domainby Zhengnan Li,…
Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer…
Causal Discovery by Interventions via Integer Programmingby Abdelmonem Elrefaey, Rong PanFirst submitted to arxiv on:…
Automated Toll Management System Using RFID and Image Processingby Raihan Ahmed, Shahed Chowdhury Omi, Md.…
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localizationby Samuel G. Leitch,…
Structure-Guided Input Graph for GNNs facing Heterophilyby Victor M. Tenorio, Madeline Navarro, Samuel Rey, Santiago…