Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classificationby Jiachen Chen, Danyang Huang,…
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Modelby Gabriele Dominici, Pietro…
Daily Physical Activity Monitoring – Adaptive Learning from Multi-source Motion Sensor Databy Haoting Zhang, Donglin…
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learningby Alireza Olama, Andreas Lundell, Jan…
A Second-Order Perspective on Model Compositionality and Incremental Learningby Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega,…
BOLD: Boolean Logic Deep Learningby Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien…
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Modelsby Zhenzhong Wang, Zehui…
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearingby…
UnitNorm: Rethinking Normalization for Transformers in Time Seriesby Nan Huang, Christian Kümmerle, Xiang ZhangFirst submitted…
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformersby Lorenzo Tiberi,…