Debashis Sahoo

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 12

Top Topics

Backpropagation Neural Networks

Weakly Supervised

Top Venues

AAAI Spring Symposia

Publications

Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo
Building Communication Efficient Asynchronous Peer-to-Peer Federated LLMs with Blockchain. AAAI Spring Symposia (2024)
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)
Dharanidhar Dang, Bill Lin, Debashis Sahoo
: An All-photonic Neuromorphic Accelerator for Energy-efficient Deep Learning. ACM Trans. Archit. Code Optim. 19 (3) (2022)
Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. CoRR (2022)
Dharanidhar Dang, Bill Lin, Debashis Sahoo
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint). CoRR (2022)
Rohan Subramanian, Debashis Sahoo
Boolean implication analysis of single-cell data predicts retinal cell type markers. BMC Bioinform. 23 (1) (2022)
Daniella Vo, Shayal Charisma Singh, Sara Safa, Debashis Sahoo
Boolean implication analysis unveils candidate universal relationships in microbiome data. BMC Bioinform. 22 (1) (2021)
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) (2021)
Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning. CoRR (2021)
Dharanidhar Dang, Sahar Taheri, Bill Lin, Debashis Sahoo
MEMTONIC: A Neuromorphic Accelerator for Energy Efficient Deep Learning. DAC (2020)
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)
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)
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) (2012)
Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin
Systems biology approach to identify markers of differentiation in bladder cancer. BCB (2012)
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) (2010)
Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, E. Allen Emerson
Under-approximation Heuristics for Grid-based Bounded Model Checking. Electron. Notes Theor. Comput. Sci. 135 (2) (2006)
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) (2006)
Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad, Debashis Sahoo, Thomas Sidle
Error Detection Using BMC in a Parallel Environment. CHARME (2005)
Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson
Multi-threaded reachability. DAC (2005)
Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill
A New Reachability Algorithm for Symmetric Multi-processor Architecture. ATVA (2005)
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)
Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain
On Partitioning and Symbolic Model Checking. FM (2005)
Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson
Predictive Reachability Using a Sample-Based Approach. CHARME (2005)
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)
Subramanian K. Iyer, Debashis Sahoo, Christian Stangier, Amit Narayan, Jawahar Jain
Improved Symbolic Verification Using Partitioning Techniques. CHARME (2003)
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)