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04/13/2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
Integrating whole-slide images (WSIs) and bulk transcriptomics for predi...
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03/29/2023
Quantum Deep Hedging
Quantum machine learning has the potential for a transformative impact a...
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02/23/2023
Quantifying Modeling Feature Interactions: An Information Decomposition Framework
The recent explosion of interest in multimodal applications has resulted...
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10/17/2020
On Banzhaf and Shapley-Shubik Fixed Points and Divisor Voting Systems
The Banzhaf and Shapley-Shubik power indices were first introduced to me...
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08/07/2020
COVID-19 in differential diagnosis of online symptom assessments
The COVID-19 pandemic has magnified an already existing trend of people ...
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10/21/2019
A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
Variational quantum algorithms have shown promise in numerous fields due...
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10/21/2019
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space
Variational quantum algorithms have shown promise in numerous fields due...
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12/08/2018
Learning Montezuma's Revenge from a Single Demonstration
We propose a new method for learning from a single demonstration to solv...
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09/29/2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Nuclei segmentation is a fundamental task that is critical for various c...
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08/22/2018
Rethinking Monocular Depth Estimation with Adversarial Training
Monocular depth estimation is an extensively studied computer vision pro...
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05/22/2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
Deep learning has emerged as a powerful artificial intelligence tool to ...
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11/17/2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
To realize the full potential of deep learning for medical imaging, larg...
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08/04/2016