CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

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2D profiles of electron density and neutral temperature are inferred from multi-delay coherence imaging spectroscopy data of divertor plasmas using a non-linear inversion technique. The inference is based on imaging the spectral line-broadening of Balmer l ...

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We present a finite elements-neural network approach for the numerical approximation of parametric partial differential equations. The algorithm generates training data from finite element simulations, and uses a data -driven (supervised) feedforward neura ...

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Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and design preferences of medicinal chemists. However, designing mach ...

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

Chattez avec Graph Search

First 2D electron density measurements using multi-delay coherence imaging spectroscopy in the MAST-U Super-X divertor

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Foundations of a New Learning Paradigm in AI Grounded in the Principles of Evolutionary Developmental Biology

Incorporating Projective Geometry into Deep Learning

How Gradient Descent Balances Features: A Dynamical Analysis For Two-Layer Neural Networks

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

What can radars tell us about snowfall microphysics? Insights from a Markov chain Monte-Carlo approach

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Domain shift, domain adaptation, and generalization: A focus on MRI

A phase transition between positional and semantic learning in a solvable model of dot-product attention

Towards Trustworthy Deep Learning for Image Reconstruction

Structure-function analysis of the cyclic β-1,2-glucan synthase from Agrobacterium tumefaciens

Robust machine learning for neuroscientific inference

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

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

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Iron-carbohydrate complexes treating iron anaemia: Understanding the nano-structure and interactions with proteins through orthogonal characterisation

Targeting TDP-43 Proteinopathies in Neurodegeneration by its Native-State Stabilization

Efficient local linearity regularization to overcome catastrophic overfitting

Machine learning-aided generative molecular design