Lista de obras -

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models ⬇️

artículo científico publicado en 2022

Designing self-assembling kinetics with differentiable statistical physics models

artículo científico publicado en 2021

Disconnecting structure and dynamics in glassy thin films.

artículo científico publicado en 2017

Finite Versus Infinite Neural Networks: an Empirical Study ⬇️

artículo científico publicado en 2020

JAX MD: A Framework for Differentiable Physics ⬇️

artículo científico publicado en 2020

Machine learning determination of atomic dynamics at grain boundaries

artículo científico publicado en 2018

Mean Field Residual Networks: On the Edge of Chaos ⬇️

artículo científico publicado en 2017

MetaInit: Initializing learning by learning to initialize ⬇️

Phonon dispersion and elastic moduli of two-dimensional disordered colloidal packings of soft particles with frictional interactions

artículo científico publicado en 2014

Phonons in two-dimensional soft colloidal crystals

artículo científico publicado en 2013

Predicting plasticity with soft vibrational modes: From dislocations to glasses ⬇️

article

Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.

artículo científico publicado en 2017

Relationship between local structure and relaxation in out-of-equilibrium glassy systems. ⬇️

artículo científico publicado en 2016

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice ⬇️

artículo científico publicado en 2017

Stability of jammed packings II: the transverse length scale

Strain fluctuations and elastic moduli in disordered solids ⬇️

artículo científico publicado en 2015

Structural Properties of Defects in Glassy Liquids

artículo científico publicado en 2016

Structure-property relationships from universal signatures of plasticity in disordered solids.

artículo científico publicado en 2017

Lista de obras de

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models ⬇️

Designing self-assembling kinetics with differentiable statistical physics models

Disconnecting structure and dynamics in glassy thin films.

Finite Versus Infinite Neural Networks: an Empirical Study ⬇️

JAX MD: A Framework for Differentiable Physics ⬇️

Machine learning determination of atomic dynamics at grain boundaries

Mean Field Residual Networks: On the Edge of Chaos ⬇️

MetaInit: Initializing learning by learning to initialize ⬇️

Phonon dispersion and elastic moduli of two-dimensional disordered colloidal packings of soft particles with frictional interactions

Phonons in two-dimensional soft colloidal crystals

Predicting plasticity with soft vibrational modes: From dislocations to glasses ⬇️

Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.

Relationship between local structure and relaxation in out-of-equilibrium glassy systems. ⬇️

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice ⬇️

Stability of jammed packings II: the transverse length scale

Strain fluctuations and elastic moduli in disordered solids ⬇️

Structural Properties of Defects in Glassy Liquids

Structure-property relationships from universal signatures of plasticity in disordered solids.

Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent ⬇️