Current Symmetry Group Equivariant Convolution Frameworks for Representation Learningby Ramzan Basheer, Deepak MishraFirst submitted to…
Federated Impression for Learning with Distributed Heterogeneous Databy Atrin Arya, Sana Ayromlou, Armin Saadat, Purang…
Convergence of continuous-time stochastic gradient descent with applications to linear deep neural networksby Gabor Lugosi,…
Manifold Learning via Foliations and Knowledge Transferby E. Tron, E. FioresiFirst submitted to arxiv on:…
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysisby Sakhinana Sagar Srinivas, Geethan Sannidhi,…
Tuning-Free Online Robust Principal Component Analysis through Implicit Regularizationby Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal KalyaniFirst…
A Unified Contrastive Loss for Self-Trainingby Aurelien Gauffre, Julien Horvat, Massih-Reza AminiFirst submitted to arxiv…
Three-Dimensional, Multimodal Synchrotron Data for Machine Learning Applicationsby Calum Green, Sharif Ahmed, Shashidhara Marathe, Liam…
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Studyby Ilias Siniosoglou, Vasileios Argyriou,…
What is the Right Notion of Distance between Predict-then-Optimize Tasks?by Paula Rodriguez-Diaz, Lingkai Kong, Kai…