Summary of Physics-informed Machine Learning For Battery Pack Thermal Management, by Zheng Liu et al.
Physics-informed Machine Learning for Battery Pack Thermal Managementby Zheng Liu, Yuan Jiang, Yumeng Li, Pingfeng…
Summary of Sag-vit: a Scale-aware, High-fidelity Patching Approach with Graph Attention For Vision Transformers, by Shravan Venkatraman et al.
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformersby Shravan Venkatraman, Jaskaran…
Summary of Process-aware Human Activity Recognition, by Jiawei Zheng et al.
Process-aware Human Activity Recognitionby Jiawei Zheng, Petros Papapanagiotou, Jacques D. Fleuriot, Jane HillstonFirst submitted to…
Summary of Neural Conjugate Flows: Physics-informed Architectures with Flow Structure, by Arthur Bizzi et al.
Neural Conjugate Flows: Physics-informed architectures with flow structureby Arthur Bizzi, Lucas Nissenbaum, João M. PereiraFirst…
Summary of Clasp: Learning Concepts For Time-series Signals From Natural Language Supervision, by Aoi Ito et al.
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervisionby Aoi Ito, Kota Dohi, Yohei…
Summary of Deep Learning 2.0: Artificial Neurons That Matter — Reject Correlation, Embrace Orthogonality, by Taha Bouhsine
Deep Learning 2.0: Artificial Neurons That Matter – Reject Correlation, Embrace Orthogonalityby Taha BouhsineFirst submitted…
Summary of Tackling Polysemanticity with Neuron Embeddings, by Alex Foote
Tackling Polysemanticity with Neuron Embeddingsby Alex FooteFirst submitted to arxiv on: 12 Nov 2024CategoriesMain: Machine…
Summary of What Representational Similarity Measures Imply About Decodable Information, by Sarah E. Harvey et al.
What Representational Similarity Measures Imply about Decodable Informationby Sarah E. Harvey, David Lipshutz, Alex H.…
Summary of Least Squares Training Of Quadratic Convolutional Neural Networks with Applications to System Theory, by Zachary Yetman Van Egmond et al.
Least Squares Training of Quadratic Convolutional Neural Networks with Applications to System Theoryby Zachary Yetman…
Summary of Exploring the Loss Landscape Of Regularized Neural Networks Via Convex Duality, by Sungyoon Kim et al.
Exploring the loss landscape of regularized neural networks via convex dualityby Sungyoon Kim, Aaron Mishkin,…