Dictionary learning for fast classification based on soft-thresholding

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Artificial Intelligence has revolutionized numerous fields, driving advancements in healthcare, finance, and autonomous systems. At the core of this revolution lies Deep Learning---algorithms that learn representations from data through computational layer ...

The electronic density of states (DOS) provides information regarding the distribution of electronic energy levels in a material, and can be used to approximate its optical and electronic properties and therefore guide computational materials design. Given ...

TANGO* enables starting material constrained synthesis planning using computed molecular similarity to guide retrosynthetic search toward specific starting materials, achieving superior performance to neural network approaches. ...

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This article reports on the current state of the OBI DICT project, a bilingual e-dictionary of oracle-bone inscriptions (OBI), incorporating artificial intelligence (AI) image recognition technology. It first provides a brief overview of the development of ...

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Dictionary learning for fast classification based on soft-thresholding

Chattez avec Graph Search

How data structures affect generalization in Kernel Methods and Deep Learning

Adaptive energy reference for machine-learning models of the electronic density of states

Tango*: constrained synthesis planning using chemically informed value functions

RAFT: Regularized Adversarial Fine-Tuning to Enhance Deep Reinforcement Learning for Self-Parking

Low-Resource Speech Recognition and Understanding for Challenging Applications

Understanding generalization and robustness in modern deep learning

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Robust machine learning for neuroscientific inference

Boosting likelihood learning with event reweighting

Topics in statistical physics of high-dimensional machine learning

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

Revealing the Structure of Land Ownership through the Automatic Vectorisation of Swiss Cadastral Plans

Aggregating Spatial and Photometric Context for Photometric Stereo

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Incorporating Projective Geometry into Deep Learning

Towards Trustworthy Deep Learning for Image Reconstruction

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Meta-learning to address diverse Earth observation problems across resolutions

Random matrix methods for high-dimensional machine learning models

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning