Summary of Simap: a Simplicial-map Layer For Neural Networks, by Rocio Gonzalez-diaz et al.
SIMAP: A simplicial-map layer for neural networksby Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, Eduardo Paluzo-HidalgoFirst submitted…
Summary of Automated Feature Selection For Inverse Reinforcement Learning, by Daulet Baimukashev et al.
Automated Feature Selection for Inverse Reinforcement Learningby Daulet Baimukashev, Gokhan Alcan, Ville KyrkiFirst submitted to…
Summary of Active Learning For Regression Based on Wasserstein Distance and Groupsort Neural Networks, by Benjamin Bobbia and Matthias Picard
Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networksby Benjamin Bobbia, Matthias…
Summary of Text Clustering with Large Language Model Embeddings, by Alina Petukhova et al.
Text Clustering with Large Language Model Embeddingsby Alina Petukhova, João P. Matos-Carvalho, Nuno FachadaFirst submitted…
Summary of Improved Long Short-term Memory-based Wastewater Treatment Simulators For Deep Reinforcement Learning, by Esmaeel Mohammadi et al.
Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learningby Esmaeel Mohammadi, Daniel Ortiz-Arroyo,…
Summary of On the Convergence Of Adam Under Non-uniform Smoothness: Separability From Sgdm and Beyond, by Bohan Wang and Huishuai Zhang and Qi Meng and Ruoyu Sun and Zhi-ming Ma and Wei Chen
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyondby Bohan Wang,…
Summary of Transition Graph Properties Of Target Class Classification, by Levon Aslanyan et al.
Transition Graph Properties of Target Class Classificationby Levon Aslanyan, Hasmik SahakyanFirst submitted to arxiv on:…
Summary of Exploring the Task-agnostic Trait Of Self-supervised Learning in the Context Of Detecting Mental Disorders, by Rohan Kumar Gupta and Rohit Sinha
Exploring the Task-agnostic Trait of Self-supervised Learning in the Context of Detecting Mental Disordersby Rohan…
Summary of Self-improvement For Neural Combinatorial Optimization: Sample Without Replacement, but Improvement, by Jonathan Pirnay and Dominik G. Grimm
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvementby Jonathan Pirnay, Dominik G. GrimmFirst…
Summary of Pde-cnns: Axiomatic Derivations and Applications, by Gijs Bellaard et al.
PDE-CNNs: Axiomatic Derivations and Applicationsby Gijs Bellaard, Sei Sakata, Bart M. N. Smets, Remco DuitsFirst…