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05/24/2023
Reverse Engineering Self-Supervised Learning
Self-supervised learning (SSL) is a powerful tool in machine learning, b...
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02/10/2023
Numerical Methods For PDEs Over Manifolds Using Spectral Physics Informed Neural Networks
We introduce an approach for solving PDEs over manifolds using physics i...
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01/11/2023
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions
Multiplication layers are a key component in various influential neural ...
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04/18/2022
PR-DAD: Phase Retrieval Using Deep Auto-Decoders
Phase retrieval is a well known ill-posed inverse problem where one trie...
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01/21/2022
Nearest Class-Center Simplification through Intermediate Layers
Recent advances in theoretical Deep Learning have introduced geometric p...
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05/14/2021
Sparsity-Probe: Analysis tool for Deep Learning Models
We propose a probe for the analysis of deep learning architectures that ...
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05/07/2018
Wavelet Decomposition of Gradient Boosting
In this paper we introduce a significant improvement to the popular tree...
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10/09/2017
Function space analysis of deep learning representation layers
In this paper we propose a function space approach to Representation Lea...
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02/13/2016
