research
∙
03/03/2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!
Implicit layer deep learning techniques, like Neural Differential Equati...
share
research
∙
01/28/2022
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs)
Implicit deep learning architectures, like Neural ODEs and Deep Equilibr...
research
∙
05/12/2021
Composing Modeling and Simulation with Machine Learning in Julia
In this paper we introduce JuliaSim, a high-performance programming envi...
research
∙
05/09/2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Democratization of machine learning requires architectures that automati...
research
∙
04/02/2021
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness
Humor and Offense are highly subjective due to multiple word senses, cul...
research
∙
11/21/2020
Emergent Road Rules In Multi-Agent Driving Environments
For autonomous vehicles to safely share the road with human drivers, aut...
research
∙
09/08/2019
TorchGAN: A Flexible Framework for GAN Training and Evaluation
TorchGAN is a PyTorch based framework for writing succinct and comprehen...
research
∙
07/16/2019