Joshua Robinson | DeepAI

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∙ 06/24/2023

Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning

Self-supervised learning converts raw perceptual data such as images to ...

0 Sharut Gupta, et al. ∙

∙ 01/05/2023

A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI

In this paper, we explored the use of deep learning for the prediction o...

0 Mahmoud E. Khani, et al. ∙

∙ 10/30/2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

We introduce CAN, a simple, efficient and scalable method for self-super...

0 Shlok Mishra, et al. ∙

∙ 10/22/2022

Leveraging Large Language Models for Multiple Choice Question Answering

While large language models (LLMs) like GPT-3 have achieved impressive r...

0 Joshua Robinson, et al. ∙

∙ 08/08/2022

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

Integrating functions on discrete domains into neural networks is key to...

0 Nikolaos Karalias, et al. ∙

∙ 03/21/2022

An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

Pre-trained language models derive substantial linguistic and factual kn...

0 Taylor Sorensen, et al. ∙

∙ 05/30/2021

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

We propose a novel matrix autoencoder to map functional connectomes from...

0 Niharika Shimona D'Souza, et al. ∙

∙ 10/09/2020

Contrastive Learning with Hard Negative Samples

We consider the question: how can you sample good negative examples for ...

0 Joshua Robinson, et al. ∙

∙ 08/27/2020

Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characteri

We propose a novel integrated framework that jointly models complementar...

4 Niharika Shimona D'Souza, et al. ∙

∙ 07/03/2020

A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism

We propose an integrated deep-generative framework, that jointly models ...

25 Niharika Shimona D'Souza, et al. ∙

∙ 07/01/2020

Debiased Contrastive Learning

A prominent technique for self-supervised representation learning has be...

0 Ching-Yao Chuang, et al. ∙

∙ 02/19/2020

Strength from Weakness: Fast Learning Using Weak Supervision

We study generalization properties of weakly supervised learning. That i...

8 Joshua Robinson, et al. ∙

∙ 06/12/2019

Flexible Modeling of Diversity with Strongly Log-Concave Distributions

Strongly log-concave (SLC) distributions are a rich class of discrete pr...

4 Joshua Robinson, et al. ∙

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