Srinjoy Das

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Spiking Neurons

Structured Data

Belief Networks

Top Venues

IEEE Trans. Biomed. Circuits Syst.

Publications

Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction. CoRR (2024)
Srinjoy Das, Lawrence Rauchwerger
Automatic Task Parallelization of Dataflow Graphs in ML/DL Models. IPDPS (2024)
Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction. EANN (2024)
Hamed Khosravi, Srinjoy Das, Abdullah Al-Mamun, Imtiaz Ahmed
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. CoRR (2024)
Hamed Khosravi, Sarah Farhadpour, Manikanta Grandhi, Ahmed Shoyeb Raihan, Srinjoy Das, Imtiaz Ahmed
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production. CoRR (2023)
Israt Zarin Era, Imtiaz Ahmed, Zhichao Liu, Srinjoy Das
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything. CoRR (2023)
Srinjoy Das, Lawrence Rauchwerger
Automatic Task Parallelization of Dataflow Graphs in ML/DL models. CoRR (2023)
Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das, Imtiaz Ahmed
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization. CoRR (2023)
Srishti Mishra, Srinjoy Das
Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore. CoRR (2022)
Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
Kernel distance measures for time series, random fields and other structured data. CoRR (2021)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. IEEE Access 9 (2021)
Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? CoRR (2021)
Xinyu Zhang, Srinjoy Das, Kenneth Kreutz-Delgado
Tuning Confidence Bound for Stochastic Bandits with Bandit Distance. CoRR (2021)
Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. CoRR (2021)
Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. CoRR (2021)
Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das
A Manifold Learning based Video Prediction approach for Deep Motion Transfer. ICCVW (2021)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. CoRR (2021)
Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
Kernel Distance Measures for Time Series, Random Fields and Other Structured Data. Frontiers Appl. Math. Stat. 7 (2021)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. IJCNN (2019)
Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR (2019)
Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. CoRR (2019)
Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC (2019)
Xinyu Zhang, Srinjoy Das, Ojash Neopane, Kenneth Kreutz-Delgado
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. CoRR (2017)
Xiaojing Xu, Srinjoy Das, Kenneth Kreutz-Delgado
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks. CoRR (2017)
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
A nonparametric framework for quantifying generative inference on neuromorphic systems. ISCAS (2016)
Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul A. Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Mapping Generative Models onto a Network of Digital Spiking Neurons. IEEE Trans. Biomed. Circuits Syst. 10 (4) (2016)
Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems. CoRR (2016)
Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado
Gibbs sampling with low-power spiking digital neurons. ISCAS (2015)
Srinjoy Das, Bruno U. Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado
Gibbs Sampling with Low-Power Spiking Digital Neurons. CoRR (2015)
Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Mapping Generative Models onto Networks of Digital Spiking Neurons. CoRR (2015)
Bruno U. Pedroni, Srinjoy Das, Emre Neftci, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. IJCNN (2013)
Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. CoRR (2013)