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06/06/2022
Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission
A significant point-like component from the small scale (or discrete) st...
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01/02/2022
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation
It is fundamental for science and technology to be able to predict chemi...
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07/13/2021
Tourbillon: a Physically Plausible Neural Architecture
In a physical neural system, backpropagation is faced with a number of o...
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03/24/2021
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity
There is a lack of scalable quantitative measures of reactivity for func...
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06/16/2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
We introduce SPLASH units, a class of learnable activation functions sho...
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04/17/2020