Srinjoy Das - RankMe

44 papers A* 1A 1B 2C 4Misc 1Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards efficient real-time video motion transfer via generative time series modeling. Multim. Tools Appl. Tasmiah Haque, Md. Asif Bin Syed, Byungheon Jeong, Xue Bai, Sumit Mohan, Somdyuti Paul, Imtiaz Ahmed, Srinjoy Das
2025	A*	`conf`	GIF: Generative Inspiration for Face Recognition at Scale. CVPR Saeed Ebrahimi, Sahar Rahimi Malakshan, Ali Dabouei, Srinjoy Das, Jeremy M. Dawson, Nasser M. Nasrabadi
2025	J	`jnl`	GIF: Generative Inspiration for Face Recognition at Scale. CoRR Saeed Ebrahimi, Sahar Rahimi Malakshan, Ali Dabouei, Srinjoy Das, Jeremy M. Dawson, Nasser M. Nasrabadi
2025	—	`conf`	Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer. IEEECONF Tasmiah Haque, Srinjoy Das
2025	J	`jnl`	Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer. CoRR Tasmiah Haque, Srinjoy Das
2025	J	`jnl`	LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention. CoRR Hamed Khosravi, Mohammad Reza Shafie, Ahmed Shoyeb Raihan, Srinjoy Das, Imtiaz Ahmed
2025	C	`conf`	Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach. CoG Daniel Campa, Mehdi Saeedi, Ian Colbert, Srinjoy Das
2025	J	`jnl`	Path Generation and Evaluation in Video Games: A Nonparametric Statistical Approach. CoRR Daniel Campa, Mehdi Saeedi, Ian Colbert, Srinjoy Das
2025	J	`jnl`	Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness. CoRR Md. Mushfiqur Rahaman, Elliot Chang, Tasmiah Haque, Srinjoy Das
2025	J	`jnl`	Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling. CoRR Tasmiah Haque, Md. Asif Bin Syed, Byungheon Jeong, Xue Bai, Sumit Mohan, Somdyuti Paul, Imtiaz Ahmed, Srinjoy Das
2024	J	`jnl`	A Data-Efficient Sequential Learning Framework for Melt Pool Defect Classification in Laser Powder Bed Fusion. CoRR Ahmed Shoyeb Raihan, Austin Harper, Israt Zarin Era, Omar Al-Shebeeb, Thorsten Wuest, Srinjoy Das, Imtiaz Ahmed
2024	A	`conf`	Automatic Task Parallelization of Dataflow Graphs in ML/DL Models. IPDPS Srinjoy Das, Lawrence Rauchwerger
2024	J	`jnl`	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 Hamed Khosravi, Srinjoy Das, Abdullah Al-Mamun, Imtiaz Ahmed
2024	C	`conf`	Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction. EANN Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das
2024	J	`jnl`	Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction. CoRR Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das
2024	J	`jnl`	In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers. CoRR Israt Zarin Era, Fan Zhou, Ahmed Shoyeb Raihan, Imtiaz Ahmed, Alan Abul-Haj, James Craig, Srinjoy Das, Zhichao Liu
2023	J	`jnl`	Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization. CoRR Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das, Imtiaz Ahmed
2023	J	`jnl`	An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything. CoRR Israt Zarin Era, Imtiaz Ahmed, Zhichao Liu, Srinjoy Das
2023	J	`jnl`	Automatic Task Parallelization of Dataflow Graphs in ML/DL models. CoRR Srinjoy Das, Lawrence Rauchwerger
2023	J	`jnl`	Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production. CoRR Hamed Khosravi, Sarah Farhadpour, Manikanta Grandhi, Ahmed Shoyeb Raihan, Srinjoy Das, Imtiaz Ahmed
2022	J	`jnl`	Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore. CoRR Srishti Mishra, Srinjoy Das
2021	J	`jnl`	A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? CoRR Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das
2021	—	`conf`	A Manifold Learning based Video Prediction approach for Deep Motion Transfer. ICCVW Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das
2021	J	`jnl`	An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling. IEEE Access Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. CoRR Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. CoRR Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	Kernel Distance Measures for Time Series, Random Fields and Other Structured Data. Frontiers Appl. Math. Stat. Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
2021	J	`jnl`	Kernel distance measures for time series, random fields and other structured data. CoRR Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
2021	J	`jnl`	Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations. CoRR Xinyu Zhang, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2021	J	`jnl`	Tuning Confidence Bound for Stochastic Bandits with Bandit Distance. CoRR Xinyu Zhang, Srinjoy Das, Kenneth Kreutz-Delgado
2019	B	`conf`	AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. IJCNN Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2019	J	`jnl`	AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. CoRR Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das
2019	Misc	`conf`	PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
2019	J	`jnl`	PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
2017	J	`jnl`	A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA. CoRR Xinyu Zhang, Srinjoy Das, Ojash Neopane, Kenneth Kreutz-Delgado
2017	J	`jnl`	ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks. CoRR Xiaojing Xu, Srinjoy Das, Kenneth Kreutz-Delgado
2016	J	`jnl`	A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems. CoRR Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
2016	C	`conf`	A nonparametric framework for quantifying generative inference on neuromorphic systems. ISCAS Ojash Neopane, Srinjoy Das, Ery Arias-Castro, Kenneth Kreutz-Delgado
2016	J	`jnl`	Mapping Generative Models onto a Network of Digital Spiking Neurons. IEEE Trans. Biomed. Circuits Syst. Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul A. Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs
2015	J	`jnl`	Gibbs Sampling with Low-Power Spiking Digital Neurons. CoRR Srinjoy Das, Bruno U. Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado
2015	C	`conf`	Gibbs sampling with low-power spiking digital neurons. ISCAS Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra S. Modha, Gert Cauwenberghs, Kenneth Kreutz-Delgado
2015	J	`jnl`	Mapping Generative Models onto Networks of Digital Spiking Neurons. CoRR Bruno U. Pedroni, Srinjoy Das, John V. Arthur, Paul Merolla, Bryan L. Jackson, Dharmendra S. Modha, Kenneth Kreutz-Delgado, Gert Cauwenberghs
2013	J	`jnl`	Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. CoRR Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs
2013	B	`conf`	Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. IJCNN Bruno U. Pedroni, Srinjoy Das, Emre Neftci, Kenneth Kreutz-Delgado, Gert Cauwenberghs