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ORCIDDebashis Sahoo
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Journal Articles
- 2022
[j7]Rohan Subramanian, Debashis Sahoo:
Boolean implication analysis of single-cell data predicts retinal cell type markers. BMC Bioinform. 23(1): 378 (2022)- [j6]Dharanidhar Dang
, Bill Lin, Debashis Sahoo:
LiteCON: An All-photonic Neuromorphic Accelerator for Energy-efficient Deep Learning. ACM Trans. Archit. Code Optim. 19(3): 43:1-43:22 (2022) - 2021
- [j5]Daniella Vo, Shayal Charisma Singh, Sara Safa, Debashis Sahoo:
Boolean implication analysis unveils candidate universal relationships in microbiome data. BMC Bioinform. 22(1): 49 (2021) - [j4]Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo:
BPLight-CNN: A Photonics-Based Backpropagation Accelerator for Deep Learning. ACM J. Emerg. Technol. Comput. Syst. 17(4): 49:1-49:26 (2021) - 2012
- [j3]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:
Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proc. Natl. Acad. Sci. USA 109(6): 2078-2083 (2012) - 2010
- [j2]Debashis Sahoo, Jun Seita, Deepta Bhattacharya, Matthew A. Inlay, Irving L. Weissman, Sylvia K. Plevritis, David L. Dill:
MiDReG: A method of mining developmentally regulated genes using Boolean implications. Proc. Natl. Acad. Sci. USA 107(13): 5732-5737 (2010) - 2006
- [j1]Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain:
On partitioning and symbolic model checking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25(5): 780-788 (2006)
Conference and Workshop Papers
- 2024
- [c16]Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo:
Building Communication Efficient Asynchronous Peer-to-Peer Federated LLMs with Blockchain. AAAI Spring Symposia 2024: 288-292 - 2023
- [c15]Debashis Sahoo, Suvendu Chandan Nayak, Nayan Ranjan Paul, Sadanand Saha, Prangyan Ranjan Patra, Pritam Kumar Kuanr:
Designed Framework for Advanced Intelligent Job Recommendation System. OCIT 2023: 880-885 - 2020
- [c14]Dharanidhar Dang, Sahar Taheri, Bill Lin, Debashis Sahoo:
MEMTONIC: A Neuromorphic Accelerator for Energy Efficient Deep Learning. DAC 2020: 1-2 - [c13]Dharanidhar Dang, Aurosmita Khansama, Rabi N. Mahapatra, Debashis Sahoo:
BPhoton-CNN: An Ultrafast Photonic Backpropagation Accelerator for Deep Learning. ACM Great Lakes Symposium on VLSI 2020: 27-32 - [c12]Debashis Sahoo, Naveksha Sood, Usha Rani, George Abraham, Varun Dutt, Dileep D.:
Comparative Analysis of Multi-Step Time-Series Forecasting for Network Load Dataset. ICCCNT 2020: 1-7 - 2012
- [c11]Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin:
Systems biology approach to identify markers of differentiation in bladder cancer. BCB 2012: 509 - 2005
- [c10]Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, Takeshi Shimizu:
Verification of Industrial Designs Using A Computing Grid With More than 100 Nodes. Asian Test Symposium 2005: 460 - [c9]Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill:
A New Reachability Algorithm for Symmetric Multi-processor Architecture. ATVA 2005: 26-38 - [c8]Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad, Debashis Sahoo, Thomas Sidle:
Error Detection Using BMC in a Parallel Environment. CHARME 2005: 354-358 - [c7]Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson:
Predictive Reachability Using a Sample-Based Approach. CHARME 2005: 388-392 - [c6]Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson:
Multi-threaded reachability. DAC 2005: 467-470 - [c5]Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain:
On Partitioning and Symbolic Model Checking. FM 2005: 497-511 - [c4]Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, E. Allen Emerson:
Under-approximation Heuristics for Grid-based Bounded Model Checking. PDMC@ICALP 2005: 31-46 - 2004
- [c3]Debashis Sahoo, Subramanian K. Iyer, Jawahar Jain, Christian Stangier, Amit Narayan, David L. Dill, E. Allen Emerson:
A Partitioning Methodology for BDD-Based Verification. FMCAD 2004: 399-413 - 2003
- [c2]Subramanian K. Iyer, Debashis Sahoo, Christian Stangier, Amit Narayan, Jawahar Jain:
Improved Symbolic Verification Using Partitioning Techniques. CHARME 2003: 410-424 - 2002
- [c1]Anuradha Annaswamy, Jae Jeen Choi, Debashis Sahoo, Farrukh S. Alvi, Huadong Lou:
Active closed-loop control of supersonic impinging jet flows using POD models. CDC 2002: 3294-3299
Informal and Other Publications
- 2022
- [i3]Dharanidhar Dang, Bill Lin, Debashis Sahoo:
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint). CoRR abs/2206.13861 (2022) - [i2]Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo:
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. CoRR abs/2208.03500 (2022) - 2021
- [i1]Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo:
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning. CoRR abs/2102.10140 (2021)
Coauthor Index
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