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08/21/2023
Sparse Linear Concept Discovery Models
The recent mass adoption of DNNs, even in safety-critical scenarios, has...
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01/24/2023
Macroeconomic forecasting and sovereign risk assessment using deep learning techniques
In this study, we propose a novel approach of nowcasting and forecasting...
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01/10/2022
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations
This work aims to address the long-established problem of learning diver...
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12/05/2021
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
This work explores the potency of stochastic competition-based activatio...
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01/04/2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
This work addresses adversarial robustness in deep learning by consideri...
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06/18/2020
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
This work attempts to address adversarial robustness of deep networks by...
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02/13/2020
Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition
Hidden Markov Models (HMMs) are a powerful generative approach for model...
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05/19/2018