GitHub

Deep Learning for Glitch Classification in Gravitational Waves: a Comparison of CNN-BiLSTM and CNN-SLP Models

In many fields of physics the gravitational waves are studied to deepen the understanding of the fundamentals of physics and of many astronomic processes. The detection of gravitational waves can be ...
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
IEEE

Backdoor Attack and Defense on Deep Learning: A Survey

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...
Microsoft

Accurate and scalable exchange-correlation with deep learning

Density Functional Theory (DFT) is the most widely used electronic structure method for predicting the properties of molecules and materials. Although DFT is, in principle, an exact reformulation of ...
Smithsonian Magazine

Deep-Sea Mining Test in the Pacific Drastically Reduced Biodiversity and Animal Populations

The study inventoried thousands of mollusks, worms, crustaceans and other small marine creatures. Natural History Museum, London and University of Gothenburg As demand soars for critical minerals for ...
IEEE

Deep Learning for Inertial Positioning: A Survey

Abstract: Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices, playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based ...