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,…
Exploring the loss landscape of regularized neural networks via convex dualityby Sungyoon Kim, Aaron Mishkin,…
Accident Impact Prediction based on a deep convolutional and recurrent neural network modelby Pouyan Sajadi,…
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuningby Zecheng Zhang, Christian Moya,…
Training Neural Networks as Recognizers of Formal Languagesby Alexandra Butoi, Ghazal Khalighinejad, Anej Svete, Josef…
Scientific machine learning in ecological systems: A study on the predator-prey dynamicsby Ranabir Devgupta, Raj…
CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Modelsby Junho Kim, Hyungjin Chung, Byung-Hoon…
MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecastingby Thang Nguyen, Dung Nguyen, Kha Pham,…
Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD…
Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learningby S.O.…
When are dynamical systems learned from time series data statistically accurate?by Jeongjin Park, Nicole Yang,…