Search Results for author: Tanya Veeravalli

Found 7 papers, 0 papers with code

A Constructive Approach to Function Realization by Neural Stochastic Differential Equations

no code implementations1 Jul 2023 Tanya Veeravalli, Maxim Raginsky

The problem of function approximation by neural dynamical systems has typically been approached in a top-down manner: Any continuous function can be approximated to an arbitrary accuracy by a sufficiently complex model with a given architecture.

Nonlinear controllability and function representation by neural stochastic differential equations

no code implementations1 Dec 2022 Tanya Veeravalli, Maxim Raginsky

There has been a great deal of recent interest in learning and approximation of functions that can be expressed as expectations of a given nonlinearity with respect to its random internal parameters.

Motion Planning

Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure

no code implementations16 Oct 2019 Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos

In this paper, we propose a gamification approach as a novel framework for smart building infrastructure with the goal of motivating human occupants to reconsider personal energy usage and to have positive effects on their environment.

Benchmarking Decision Making

A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks

no code implementations5 Oct 2019 Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos

A number of such frameworks have been introduced over the years which formulate the energy saving process as a competitive game with appropriate incentives for energy efficient players.

Decision Making Segmentation

Segmentation Analysis in Human Centric Cyber-Physical Systems using Graphical Lasso

no code implementations24 Oct 2018 Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos

A generalized gamification framework is introduced as a form of smart infrastructure with potential to improve sustainability and energy efficiency by leveraging humans-in-the-loop strategy.

Decision Making Segmentation

A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University

no code implementations13 Sep 2018 Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas Spanos

We propose the design and implementation of a large-scale network game with the goal of improving the energy efficiency of a building through the utilization of cutting-edge Internet of Things (IoT) sensors and cyber-physical systems sensing/actuation platforms.

Discrete Choice Models

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