no code implementations • 30 Nov 2023 • Hrushikesh Loya, Łukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernandez-Marques, Nicholas D. Lane, Hongkai Wen
Neural architecture search has proven to be a powerful approach to designing and refining neural networks, often boosting their performance and efficiency over manually-designed variations, but comes with computational overhead.
1 code implementation • 30 Jan 2022 • Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Goliński, Yee Whye Teh, Arnaud Doucet
Neural compression algorithms are typically based on autoencoders that require specialized encoder and decoder architectures for different data modalities.
no code implementations • MIDL 2019 • Pranav Poduval, Hrushikesh Loya, Amit Sethi
Deep neural networks have revolutionized medical image analysis and disease diagnosis.
no code implementations • 19 Mar 2020 • Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi
Survival models are used in various fields, such as the development of cancer treatment protocols.
no code implementations • 25 Sep 2019 • Pranav Poduval, Hrushikesh Loya, Rajat Patel, Sumit Jain
We show Ensembles of deterministic and stochastic Neural Networks can indeed be cast as an approximate Bayesian inference.