Debashis Sahoo

28 papers A* 2B 3Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoding Federated Learning: The FedNAM+ Conformal Revolution. CoRR Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo
2025	J	`jnl`	FedNAMs: Performing Interpretability Analysis in Federated Learning Context. CoRR Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo
2024	—	`conf`	Building Communication Efficient Asynchronous Peer-to-Peer Federated LLMs with Blockchain. AAAI Spring Symposia Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo
2024	J	`jnl`	CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models. CoRR Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo
2023	—	`conf`	Designed Framework for Advanced Intelligent Job Recommendation System. OCIT Debashis Sahoo, Suvendu Chandan Nayak, Nayan Ranjan Paul, Sadanand Saha, Prangyan Ranjan Patra, Pritam Kumar Kuanr
2022	J	`jnl`	Boolean implication analysis of single-cell data predicts retinal cell type markers. BMC Bioinform. Rohan Subramanian, Debashis Sahoo
2022	J	`jnl`	LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint). CoRR Dharanidhar Dang, Bill Lin, Debashis Sahoo
2022	J	`jnl`	NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. CoRR Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo
2021	J	`jnl`	BPLight-CNN: A Photonics-Based Backpropagation Accelerator for Deep Learning. ACM J. Emerg. Technol. Comput. Syst. Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo
2021	J	`jnl`	BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning. CoRR Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo
2021	J	`jnl`	Boolean implication analysis unveils candidate universal relationships in microbiome data. BMC Bioinform. Daniella Vo, Shayal Charisma Singh, Sara Safa, Debashis Sahoo
2020	—	`conf`	BPhoton-CNN: An Ultrafast Photonic Backpropagation Accelerator for Deep Learning. ACM Great Lakes Symposium on VLSI Dharanidhar Dang, Aurosmita Khansama, Rabi N. Mahapatra, Debashis Sahoo
2020	—	`conf`	Comparative Analysis of Multi-Step Time-Series Forecasting for Network Load Dataset. ICCCNT Debashis Sahoo, Naveksha Sood, Usha Rani, George Abraham, Varun Dutt, Dileep D.
2020	A*	`conf`	MEMTONIC: A Neuromorphic Accelerator for Energy Efficient Deep Learning. DAC Dharanidhar Dang, Sahar Taheri, Bill Lin, Debashis Sahoo
2012	—	`conf`	Systems biology approach to identify markers of differentiation in bladder cancer. BCB Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin
2012	J	`jnl`	Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proc. Natl. Acad. Sci. USA Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin, Philip Levy Ho, Chad Tang, Antonina V. Kurtova, Stephen B. Willingham, Senthil K. Pazhanisamy, Humberto Contreras-Trujillo, Theresa A. Storm, Yair Lotan, Andrew H. Beck, Benjamin I. Chung, Ash A. Alizadeh, Guilherme Godoy, Seth P. Lerner, Matt van de Rijn, Linda D. Shortliffe, Irving L. Weissman, Keith S. Chan
2010	J	`jnl`	MiDReG: A method of mining developmentally regulated genes using Boolean implications. Proc. Natl. Acad. Sci. USA Debashis Sahoo, Jun Seita, Deepta Bhattacharya, Matthew A. Inlay, Irving L. Weissman, Sylvia K. Plevritis, David L. Dill
2006	J	`jnl`	On partitioning and symbolic model checking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain
2005	B	`conf`	A New Reachability Algorithm for Symmetric Multi-processor Architecture. ATVA Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill
2005	—	`conf`	Error Detection Using BMC in a Parallel Environment. CHARME Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad, Debashis Sahoo, Thomas Sidle
2005	A*	`conf`	Multi-threaded reachability. DAC Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson
2005	B	`conf`	On Partitioning and Symbolic Model Checking. FM Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain
2005	—	`conf`	Predictive Reachability Using a Sample-Based Approach. CHARME Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson
2005	—	`conf`	Under-approximation Heuristics for Grid-based Bounded Model Checking. PDMC@ICALP Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, E. Allen Emerson
2005	—	`conf`	Verification of Industrial Designs Using A Computing Grid With More than 100 Nodes. Asian Test Symposium Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, Takeshi Shimizu
2004	B	`conf`	A Partitioning Methodology for BDD-Based Verification. FMCAD Debashis Sahoo, Subramanian K. Iyer, Jawahar Jain, Christian Stangier, Amit Narayan, David L. Dill, E. Allen Emerson
2003	—	`conf`	Improved Symbolic Verification Using Partitioning Techniques. CHARME Subramanian K. Iyer, Debashis Sahoo, Christian Stangier, Amit Narayan, Jawahar Jain
2002	—	`conf`	Active closed-loop control of supersonic impinging jet flows using POD models. CDC Anuradha Annaswamy, Jae Jeen Choi, Debashis Sahoo, Farrukh S. Alvi, Huadong Lou