Search Results for author: Viral Shah

Found 5 papers, 3 papers with code

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics

3 code implementations9 May 2021 Avik Pal, Yingbo Ma, Viral Shah, Christopher Rackauckas

While we can control the computational cost by choosing the number of layers in standard architectures, in NDEs the number of neural network evaluations for a forward pass can depend on the number of steps of the adaptive ODE solver.

BIG-bench Machine Learning

Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks

no code implementations7 Oct 2020 Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral Shah, Alan Edelman, Chris Rackauckas

Modern design, control, and optimization often requires simulation of highly nonlinear models, leading to prohibitive computational costs.

Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions

2 code implementations8 Jun 2019 Ranjan Anantharaman, Kimberly Hall, Viral Shah, Alan Edelman

Connectivity across landscapes influences a wide range of conservation-relevant ecological processes, including species movements, gene flow, and the spread of wildfire, pests, and diseases.

Vocal Bursts Intensity Prediction

Fashionable Modelling with Flux

2 code implementations1 Nov 2018 Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral Shah

Machine learning as a discipline has seen an incredible surge of interest in recent years due in large part to a perfect storm of new theory, superior tooling, renewed interest in its capabilities.

BIG-bench Machine Learning

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