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Publication search results
found 53 matches
- 2024
- Avyay Casheekar, Archit Lahiri, Kanishk Rath, Kaushik Sanjay Prabhakar, Kathiravan Srinivasan:
A contemporary review on chatbots, AI-powered virtual conversational agents, ChatGPT: Applications, open challenges and future research directions. Comput. Sci. Rev. 52: 100632 (2024) - 2023
- Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick:
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents. ICML 2023: 2113-2163 - Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick:
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents. CoRR abs/2302.10364 (2023) - 2022
- Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying:
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - 2021
- Kaushik Srinivasan:
Trading Stocks or its Options - Analysis of Publicly Traded Oil Companies in India. ICCCNT 2021: 1-6 - Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS 2021: 573-583 - Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth:
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR abs/2103.15764 (2021) - Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR abs/2109.06440 (2021) - 2020
- Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2546-2555 (2020) - Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy:
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020) - Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. CVPR 2020: 13555-13564 - Adam Poliak, Max Fleming, Cash Costello, Kenton W. Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc:
Collecting Verified COVID-19 Question Answer Pairs. NLP4COVID@EMNLP 2020 - Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy:
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP 2020: 8549-8553 - Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. ICLR 2020 - Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy:
Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. IJCNN 2020: 1-8 - Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. CoRR abs/2002.11163 (2020) - Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy:
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. CoRR abs/2003.01250 (2020) - Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. CoRR abs/2003.01811 (2020) - Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. CoRR abs/2005.01807 (2020) - 2019
- Yinghan Long, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Structured Learning for Action Recognition in Videos. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(3): 475-484 (2019) - Kaushik Mukherjee, Srinivasan Natesan:
Parameter-uniform fractional step hybrid numerical scheme for 2D singularly perturbed parabolic convection-diffusion problems. J. Appl. Math. Comput. 60(1-2): 51-86 (2019) - Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. IEEE Trans. Cogn. Dev. Syst. 11(3): 384-394 (2019) - Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3064-3076 (2019) - Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy:
Neural Networks at the Edge. SMARTCOMP 2019: 45-50 - Gopalakrishnan Srinivasan, Kaushik Roy:
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing. CoRR abs/1902.04161 (2019) - Wachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy:
Reinforcement Learning with Low-Complexity Liquid State Machines. CoRR abs/1906.01695 (2019) - 2018
- Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy:
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 796-809 (2018) - Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 14(4): 44:1-44:12 (2018) - Sanchari Das, Jayati Dev, Kaushik Srinivasan:
Modularity is the Key A New Approach to Social Media Privacy Policies. MexIHC 2018: 13:1-13:4 - Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. CoRR abs/1807.00343 (2018)
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