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Srinjoy Das
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2020 – today
- 2024
- [c8]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: 134-151 - [c7]Srinjoy Das, Lawrence Rauchwerger:
Automatic Task Parallelization of Dataflow Graphs in ML/DL Models. IPDPS 2024: 728-739 - [i21]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 abs/2403.00965 (2024) - [i20]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 abs/2403.11337 (2024) - 2023
- [i19]Srinjoy Das, Lawrence Rauchwerger:
Automatic Task Parallelization of Dataflow Graphs in ML/DL models. CoRR abs/2308.11192 (2023) - [i18]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 abs/2311.09333 (2023) - [i17]Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das, Imtiaz Ahmed
:
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization. CoRR abs/2311.09591 (2023) - [i16]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 abs/2312.04063 (2023) - 2022
- [i15]Srishti Mishra, Srinjoy Das:
Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore. CoRR abs/2211.03126 (2022) - 2021
- [j3]Ian Colbert
, Kenneth Kreutz-Delgado
, Srinjoy Das
:
An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. IEEE Access 9: 147967-147984 (2021) - [j2]Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger:
Kernel Distance Measures for Time Series, Random Fields and Other Structured Data. Frontiers Appl. Math. Stat. 7: 787455 (2021) - [c6]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: 4214-4221 - [i14]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 abs/2102.00294 (2021) - [i13]Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. CoRR abs/2102.00534 (2021) - [i12]Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. CoRR abs/2107.07647 (2021) - [i11]Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger:
Kernel distance measures for time series, random fields and other structured data. CoRR abs/2109.14752 (2021) - [i10]Xinyu Zhang, Srinjoy Das, Kenneth Kreutz-Delgado:
Tuning Confidence Bound for Stochastic Bandits with Bandit Distance. CoRR abs/2110.02690 (2021) - [i9]Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. CoRR abs/2110.08271 (2021)
2010 – 2019
- 2019
- [c5]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: 2219-2223 - [c4]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: 1-9 - [i8]Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. CoRR abs/1903.04659 (2019) - [i7]Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR abs/1910.12454 (2019) - 2017
- [i6]Xiaojing Xu, Srinjoy Das, Kenneth Kreutz-Delgado:
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks. CoRR abs/1704.03993 (2017) - [i5]Xinyu Zhang, Srinjoy Das, Ojash Neopane, Kenneth Kreutz-Delgado:
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. CoRR abs/1705.02583 (2017) - 2016
- [j1]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): 837-854 (2016) - [c3]Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado:
A nonparametric framework for quantifying generative inference on neuromorphic systems. ISCAS 2016: 1346-1349 - [i4]Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado:
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems. CoRR abs/1602.05996 (2016) - 2015
- [c2]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: 2704-2707 - [i3]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 abs/1503.07793 (2015) - [i2]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 abs/1509.07302 (2015) - 2013
- [c1]Bruno U. Pedroni, Srinjoy Das, Emre Neftci
, Kenneth Kreutz-Delgado, Gert Cauwenberghs
:
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. IJCNN 2013: 1-6 - [i1]Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs:
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. CoRR abs/1311.0966 (2013)
Coauthor Index
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last updated on 2024-08-05 21:14 CEST by the dblp team
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