b'Soumik Sarkar'

research

∙ 09/20/2023

Latent Diffusion Models for Structural Component Design

Recent advances in generative modeling, namely Diffusion models, have re...

0 Ethan Herron, et al. ∙

research

∙ 09/06/2023

Active shooter detection and robust tracking utilizing supplemental synthetic data

The increasing concern surrounding gun violence in the United States has...

0 Joshua R. Waite, et al. ∙

research

∙ 06/16/2023

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

Recognizing the activities, causing distraction, in real-world driving s...

0 Md. Zahid Hasan, et al. ∙

research

∙ 06/04/2023

Deep learning powered real-time identification of insects using citizen science data

Insect-pests significantly impact global agricultural productivity and q...

0 Shivani Chiranjeevi, et al. ∙

research

∙ 05/02/2023

Out-of-distribution detection algorithms for robust insect classification

Deep learning-based approaches have produced models with good insect cla...

0 Mojdeh Saadati, et al. ∙

research

∙ 02/20/2023

SpecXAI – Spectral interpretability of Deep Learning Models

Deep learning is becoming increasingly adopted in business and industry ...

0 Stefan Druc, et al. ∙

research

∙ 11/26/2022

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images

Recent developments in deep learning-based methods demonstrated its pote...

0 Jaydeep Rade, et al. ∙

research

∙ 11/07/2022

Neural PDE Solvers for Irregular Domains

Neural network-based approaches for solving partial differential equatio...

0 Biswajit Khara, et al. ∙

research

∙ 09/21/2022

Distributed Online Non-convex Optimization with Composite Regret

Regret has been widely adopted as the metric of choice for evaluating th...

0 Zhanhong Jiang, et al. ∙

research

∙ 08/28/2022

Asynchronous Training Schemes in Distributed Learning with Time Delay

In the context of distributed deep learning, the issue of stale weights ...

0 Haoxiang Wang, et al. ∙

research

∙ 08/03/2022

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems

Lean combustion is environment friendly with low NOx emissions and also ...

1 Tryambak Gangopadhyay, et al. ∙

research

∙ 07/15/2022

Glucose Control, Sleep, Obesity, and Real-World Driver Safety at Stop Intersections in Type 1 Diabetes

Background: Diabetes is associated with obesity, poor glucose control an...

0 Ashirwad Barnwal, et al. ∙

research

∙ 04/29/2022

Concept Activation Vectors for Generating User-Defined 3D Shapes

We explore the interpretability of 3D geometric deep learning models in ...

5 Stefan Druc, et al. ∙

research

∙ 03/29/2022

Stochastic Conservative Contextual Linear Bandits

Many physical systems have underlying safety considerations that require...

0 Jiabin Lin, et al. ∙

research

∙ 12/06/2021

MDPGT: Momentum-based Decentralized Policy Gradient Tracking

We propose a novel policy gradient method for multi-agent reinforcement ...

0 Zhanhong Jiang, et al. ∙

research

∙ 10/04/2021

Cross-Modal Virtual Sensing for Combustion Instability Monitoring

In many cyber-physical systems, imaging can be an important but expensiv...

6 Tryambak Gangopadhyay, et al. ∙

research

∙ 10/04/2021

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs

We consider a mesh-based approach for training a neural network to produ...

11 Biswajit Khara, et al. ∙

research

∙ 10/04/2021

Differentiable Spline Approximations

The paradigm of differentiable programming has significantly enhanced th...

24 Minsu Cho, et al. ∙

research

∙ 09/24/2021

A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems

Volt-var control (VVC) is the problem of operating power distribution sy...

7 Xian Yeow Lee, et al. ∙

research

∙ 08/09/2021

ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections

The use of naturalistic driving studies (NDSs) for driver behavior resea...

0 Ashirwad Barnwal, et al. ∙

research

∙ 04/29/2021

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications

Recent deep-learning-based techniques for the reconstruction of geometri...

21 Anjana Deva Prasad, et al. ∙

research

∙ 04/29/2021

Distributed Multigrid Neural Solvers on Megavoxel Domains

We consider the distributed training of large-scale neural networks that...

18 Aditya Balu, et al. ∙

research

∙ 04/09/2021

Granger Causality Based Hierarchical Time Series Clustering for State Estimation

Clustering is an unsupervised learning technique that is useful when wor...

0 Sin Yong Tan, et al. ∙

research

∙ 04/08/2021

Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes

Diabetes is a major public health challenge worldwide. Abnormal physiolo...

0 Ashirwad Barnwal, et al. ∙

research

∙ 03/02/2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID data

Decentralized learning enables a group of collaborative agents to learn ...

3 Yasaman Esfandiari, et al. ∙

research

∙ 01/19/2021

A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment

In this paper we propose a new framework - MoViLan (Modular Vision and L...

2 Homagni Saha, et al. ∙

research

∙ 01/06/2021

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems

While analytical solutions of critical (phase) transitions in physical s...

19 Tryambak Gangopadhyay, et al. ∙

research

∙ 12/09/2020

Physics-consistent deep learning for structural topology optimization

Topology optimization has emerged as a popular approach to refine a comp...

11 Jaydeep Rade, et al. ∙

research

∙ 11/13/2020

Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications

Reliable seed yield estimation is an indispensable step in plant breedin...

1 Luis G Riera, et al. ∙

research

∙ 11/13/2020

Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents

Advances in computing resources have resulted in the increasing complexi...

7 Xian Yeow Lee, et al. ∙

research

∙ 10/21/2020

Decentralized Deep Learning using Momentum-Accelerated Consensus

We consider the problem of decentralized deep learning where multiple ag...

0 Aditya Balu, et al. ∙

research

∙ 08/13/2020

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras

Reliable detection of human occupancy in indoor environments is critical...

13 Homagni Saha, et al. ∙

research

∙ 08/11/2020

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

Multivariate time series modeling and prediction problems are abundant i...

53 Tryambak Gangopadhyay, et al. ∙

research

∙ 07/24/2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models

Recent progress in scientific machine learning (SciML) has opened up the...

14 Sergio Botelho, et al. ∙

research

∙ 07/14/2020

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training

Adoption of machine learning (ML)-enabled cyber-physical systems (CPS) a...

10 Kai Liang Tan, et al. ∙

research

∙ 06/24/2020

Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

Accurate prediction of crop yield supported by scientific and domain-rel...

17 Johnathon Shook, et al. ∙

research

∙ 06/07/2020

How useful is Active Learning for Image-based Plant Phenotyping?

Deep learning models have been successfully deployed for a diverse array...

57 Koushik Nagasubramanian, et al. ∙

research

∙ 11/14/2019

Deep Reinforcement Learning for Adaptive Traffic Signal Control

Many existing traffic signal controllers are either simple adaptive cont...

0 Kai Liang Tan, et al. ∙

research

∙ 11/09/2019

A perspective on multi-agent communication for information fusion

Collaborative decision making in multi-agent systems typically requires ...

13 Homagni Saha, et al. ∙

research

∙ 10/18/2019

A Saddle-Point Dynamical System Approach for Robust Deep Learning

We propose a novel discrete-time dynamical system-based framework for ac...

40 Yasaman Esfandiari, et al. ∙

research

∙ 10/15/2019

On Higher-order Moments in Adam

In this paper, we investigate the popular deep learning optimization rou...

17 Zhanhong Jiang, et al. ∙

research

∙ 09/05/2019

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents

Robustness of Deep Reinforcement Learning (DRL) algorithms towards adver...

8 Xian Yeow Lee, et al. ∙

research

∙ 06/28/2019

Learning to Cope with Adversarial Attacks

The security of Deep Reinforcement Learning (Deep RL) algorithms deploye...

5 Xian Yeow Lee, et al. ∙

research

∙ 06/04/2019

Encoding Invariances in Deep Generative Models

Reliable training of generative adversarial networks (GANs) typically re...

5 Ameya Joshi, et al. ∙

research

∙ 05/31/2019

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

In this paper, we present a novel model to detect lane regions and extra...

6 Luis Riera, et al. ∙

research

∙ 04/17/2019

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers

Deep neural networks have been shown to exhibit an intriguing vulnerabil...

14 Ameya Joshi, et al. ∙

research

∙ 11/29/2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning

Microfluidic devices are utilized to control and direct flow behavior in...

10 Xian Yeow Lee, et al. ∙

research

∙ 11/23/2018

3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys

The need for advanced materials has led to the development of complex, m...

0 Rahul Singh, et al. ∙

research

∙ 11/21/2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures

A key problem in computational material science deals with understanding...

0 Rahul Singh, et al. ∙

research

∙ 11/14/2018

Interpretable deep learning for guided structure-property explorations in photovoltaics

The performance of an organic photovoltaic device is intricately connect...

4 Balaji Sesha Sarath Pokuri, et al. ∙

Soumik Sarkar

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