Harsh Vardhan | DeepAI

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∙ 04/24/2023

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls

Physics simulations are a computational bottleneck in computer-aided des...

0 Harsh Vardhan, et al. ∙

∙ 02/28/2023

Fusion of ML with numerical simulation for optimized propeller design

In computer-aided engineering design, the goal of a designer is to find ...

0 Harsh Vardhan, et al. ∙

∙ 02/28/2023

Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design

Automatic underwater vehicle hull Design optimization is a complex engin...

0 Harsh Vardhan, et al. ∙

∙ 02/18/2023

Search for universal minimum drag resistance underwater vehicle hull using CFD

In Autonomous Underwater Vehicles (AUVs) design, hull resistance is an i...

0 Harsh Vardhan, et al. ∙

∙ 01/17/2023

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

Federated Learning (FL) has gained increasing interest in recent years a...

0 Xiaofan Yu, et al. ∙

∙ 11/16/2022

Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression

In a computer-aided engineering design optimization problem that involve...

0 Harsh Vardhan, et al. ∙

∙ 06/24/2022

DeepAL for Regression Using ε-weighted Hybrid Query Strategy

Designing an inexpensive approximate surrogate model that captures the s...

8 Harsh Vardhan, et al. ∙

∙ 06/18/2022

Reduced Robust Random Cut Forest for Out-Of-Distribution detection in machine learning models

Most machine learning-based regressors extract information from data col...

15 Harsh Vardhan, et al. ∙

∙ 06/11/2022

Modeling and Optimization of a Longitudinally-Distributed Global Solar Grid

Our simulation-based experiments are aimed to demonstrate a use case on ...

0 Harsh Vardhan, et al. ∙

∙ 06/11/2022

Web-Based Platform for Evaluation of Resilient and Transactive Smart-Grids

Today's smart-grids have seen a clear rise in new ways of energy generat...

0 Himanshu Neema, et al. ∙

∙ 06/11/2022

Rare event failure test case generation in Learning-Enabled-Controllers

Machine learning models have prevalent applications in many real-world p...

0 Harsh Vardhan, et al. ∙

∙ 06/06/2022

Deep Learning-based FEA surrogate for sub-sea pressure vessel

During the design process of an autonomous underwater vehicle (AUV), the...

0 Harsh Vardhan, et al. ∙

∙ 05/02/2022

ASTROMER: A transformer-based embedding for the representation of light curves

Taking inspiration from natural language embeddings, we present ASTROMER...

0 C. Donoso-Oliva, et al. ∙

∙ 02/18/2022

Tackling benign nonconvexity with smoothing and stochastic gradients

Non-convex optimization problems are ubiquitous in machine learning, esp...

0 Harsh Vardhan, et al. ∙

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