Search Results for author: Apoorva Nandini Saridena

Found 3 papers, 0 papers with code

A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs

no code implementations5 May 2021 Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska

It is however unclear how to extend these measures to DNNs and therefore the existing analyses are applicable to simple neural networks, which are not used in practice, e. g., linear or shallow ones or otherwise multi-layer perceptrons.

Autonomous Driving

Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy

no code implementations12 Nov 2018 Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami

The paper proposes an on-line monitoring framework for continuous real-time safety/security in learning-based control systems (specifically application to a unmanned ground vehicle).

Anomaly Detection Generative Adversarial Network +1

LSALSA: Accelerated Source Separation via Learned Sparse Coding

no code implementations13 Feb 2018 Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska

We propose an efficient algorithm for the generalized sparse coding (SC) inference problem.

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