Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. - Bruno U. Pedroni; Srinjoy Das; Emre Neftci; Kenneth Kreutz-Delgado; Gert Cauwenberghs (IJCNN, 2013)

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. - Emre Neftci; Srinjoy Das; Bruno U. Pedroni; Kenneth Kreutz-Delgado; Gert Cauwenberghs (CoRR, 2013)

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 (ISCAS, 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)

A nonparametric framework for quantifying generative inference on neuromorphic systems. - Ojash Neopane; Srinjoy Das; Ery Arias-Castro; Kenneth Kreutz-Delgado (ISCAS, 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)

ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks. - Xiaojing Xu; Srinjoy Das; Kenneth Kreutz-Delgado (CoRR, 2017)

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. - Xinyu Zhang 009; Srinjoy Das; Ojash Neopane; Kenneth Kreutz-Delgado (CoRR, 2017)

PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. - Alexander Potapov; Ian Colbert; Kenneth Kreutz-Delgado; Alexander Cloninger; Srinjoy Das (ACSSC, 2019)

AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. - Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (IJCNN, 2019)

A Manifold Learning based Video Prediction approach for Deep Motion Transfer. - Yuliang Cai; Sumit Mohan; Adithya Niranjan; Nilesh Jain; Alex Cloninger; Srinjoy Das (ICCVW, 2021)

An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. - Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (IEEE Access, 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)

Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. - Siqiao Ruan; Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (CoRR, 2021)

Tuning Confidence Bound for Stochastic Bandits with Bandit Distance. - Xinyu Zhang 009; Srinjoy Das; Kenneth Kreutz-Delgado (CoRR, 2021)

Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. - Xinyu Zhang 009; Ian Colbert; Kenneth Kreutz-Delgado; Srinjoy Das (CoRR, 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)

Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore. - Srishti Mishra; Srinjoy Das (CoRR, 2022)

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 002 (CoRR, 2023)

Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization. - Ahmed Shoyeb Raihan; Hamed Khosravi; Srinjoy Das; Imtiaz Ahmed 002 (CoRR, 2023)

An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything. - Israt Zarin Era; Imtiaz Ahmed 002; Zhichao Liu; Srinjoy Das (CoRR, 2023)

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 (EANN, 2024)

Automatic Task Parallelization of Dataflow Graphs in ML/DL Models. - Srinjoy Das; Lawrence Rauchwerger (IPDPS, 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 004; Imtiaz Ahmed 002 (CoRR, 2024)

A Data-Efficient Sequential Learning Framework for Melt Pool Defect Classification in Laser Powder Bed Fusion. - Ahmed Shoyeb Raihan; Austin Harper; Israt Zarin Era; Omar Al-Shebeeb; Thorsten Wuest; Srinjoy Das; Imtiaz Ahmed 002 (CoRR, 2024)

In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers. - Israt Zarin Era; Fan Zhou; Ahmed Shoyeb Raihan; Imtiaz Ahmed 002; Alan Abul-Haj; James Craig; Srinjoy Das; Zhichao Liu (CoRR, 2024)

Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach. - Daniel Campa; Mehdi Saeedi; Ian Colbert; Srinjoy Das (CoG, 2025)

GIF: Generative Inspiration for Face Recognition at Scale. - Saeed Ebrahimi; Sahar Rahimi Malakshan; Ali Dabouei; Srinjoy Das; Jeremy M. Dawson; Nasser M. Nasrabadi (CVPR, 2025)

LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention. - Hamed Khosravi; Mohammad Reza Shafie; Ahmed Shoyeb Raihan; Srinjoy Das; Imtiaz Ahmed 002 (CoRR, 2025)

Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling. - Tasmiah Haque; Md. Asif Bin Syed; Byungheon Jeong; Xue Bai; Sumit Mohan; Somdyuti Paul; Imtiaz Ahmed 002; Srinjoy Das (CoRR, 2025)

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness. - Md. Mushfiqur Rahaman; Elliot Chang; Tasmiah Haque; Srinjoy Das (CoRR, 2025)