Summary of Baseflow Identification Via Explainable Ai with Kolmogorov-arnold Networks, by Chuyang Liu et al.
Baseflow identification via explainable AI with Kolmogorov-Arnold networksby Chuyang Liu, Tirthankar Roy, Daniel M. Tartakovsky,…
Baseflow identification via explainable AI with Kolmogorov-Arnold networksby Chuyang Liu, Tirthankar Roy, Daniel M. Tartakovsky,…
Federated Learning framework for LoRaWAN-enabled IIoT communication: A case studyby Oscar Torres Sanchez, Guilherme Borges,…
Fast Local Neural Regression for Low-Cost, Path Traced Lambertian Global Illuminationby Arturo Salmi, Szabolcs CsĂ©falvay,…
Point-Calibrated Spectral Neural Operatorsby Xihang Yue, Linchao Zhu, Yi YangFirst submitted to arxiv on: 15…
KLay: Accelerating Arithmetic Circuits for Neurosymbolic AIby Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos MartiresFirst…
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Marketsby Jinyu Liu, Hongye Guo,…
Rethinking Graph Transformer Architecture Design for Node Classificationby Jiajun Zhou, Xuanze Chen, Chenxuan Xie, Yu…
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networksby Alireza Khodamoradi, Kristof…
Towards a More Complete Theory of Function Preserving Transformsby Michael PainterFirst submitted to arxiv on:…
Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Modelsby Luis Chuquimarca, Boris…