Physics-based representations for machine learning properties of chemical reactions

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Transformer-based architectures are the model of choice for natural language understanding, but they come at a significant cost, as they have quadratic complexity in the input length, require a lot of training data, and can be difficult to tune. In the pur ...

Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limitations of current source identification algori ...

Achieving control in the design of monolayer 2D functional catalysts represents a significant challenge. If that challenge is surmounted, coordinated single-metal-atom sites can offer tailored electronic configuration, ligation geometries, chemical activit ...

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Physics-based representations for machine learning properties of chemical reactions

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Non-equilibrium control of biomolecular condensates

Surface distributions and vertical profiles of trace gases (CO, O3, NO, NO2) in the Arctic wintertime boundary layer using low-cost sensors during ALPACA-2022

Ion Sieving in Two-Dimensional Membranes from First Principles

TumblerBots: Tumbling Robotic sensors for Minimally-invasive Benthic Monitoring

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

Learning Hand State Estimation for a Light Exoskeleton

Simultaneous Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors

How Two-Layer Neural Networks Learn, One (Giant) Step at a Time

Rehabilitation exoskeleton system with bidirectional virtual reality feedback training strategy

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

HyperMixer: An MLP-based Low Cost Alternative to Transformers

Source identification via contact tracing in the presence of asymptomatic patients

Spectroscopic fingerprints of iron-coordinated cobalt and iron porphyrin layers on graphene

On-chip artificial neural network for PET source position reconstruction