Srinjoy Das

According to our database, Srinjoy Das authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction.

Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das

CoRR, 2024

Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients.

Hamed Khosravi, Srinjoy Das, Abdullah Al-Mamun, Imtiaz Ahmed

CoRR, 2024

2023

An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything.

Israt Zarin Era, Imtiaz Ahmed, Zhichao Liu, Srinjoy Das

CoRR, 2023

Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization.

Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das, Imtiaz Ahmed

CoRR, 2023

Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production.

Hamed Khosravi, Sarah Farhadpour, Manikanta Grandhi, Ahmed Shoyeb Raihan, Srinjoy Das, Imtiaz Ahmed

CoRR, 2023

Automatic Task Parallelization of Dataflow Graphs in ML/DL models.

Srinjoy Das, Lawrence Rauchwerger

CoRR, 2023

2022

Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore.

Srishti Mishra, Srinjoy Das

CoRR, 2022

2021

Kernel Distance Measures for Time Series, Random Fields and Other Structured Data.

Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger

Frontiers Appl. Math. Stat., 2021

Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations.

Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das

CoRR, 2021

Tuning Confidence Bound for Stochastic Bandits with Bandit Distance.

Xinyu Zhang, Srinjoy Das, Kenneth Kreutz-Delgado

CoRR, 2021

Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework.

Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das

CoRR, 2021

A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?

Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das

CoRR, 2021

An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling.

Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das

IEEE Access, 2021

A Manifold Learning based Video Prediction approach for Deep Motion Transfer.

Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks.

Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das

Proceedings of the International Joint Conference on Neural Networks, 2019

PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems.

Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2017

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA.

Xinyu Zhang, Srinjoy Das, Ojash Neopane, Kenneth Kreutz-Delgado

CoRR, 2017

ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks.

Xiaojing Xu, Srinjoy Das, Kenneth Kreutz-Delgado

CoRR, 2017

2016

Mapping Generative Models onto a Network of Digital Spiking Neurons.

Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul A. Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs

IEEE Trans. Biomed. Circuits Syst., 2016

A nonparametric framework for quantifying generative inference on neuromorphic systems.

Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015

Mapping Generative Models onto Networks of Digital Spiking Neurons.

Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs

CoRR, 2015

Gibbs sampling with low-power spiking digital neurons.

Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2013

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems.

Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs

CoRR, 2013

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks.

Bruno U. Pedroni, Srinjoy Das, Emre Neftci, Kenneth Kreutz-Delgado, Gert Cauwenberghs

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013