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2020 – today
- 2024
[c8]Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu:
Enhancing Training of Spiking Neural Network with Stochastic Latency. AAAI 2024: 10900-10908- [c7]Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong:
Data Driven Threshold and Potential Initialization for Spiking Neural Networks. AISTATS 2024: 4771-4779 - 2023
- [c6]Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu:
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates. ICML 2023: 14945-14974 - [c5]Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith:
Continuous Depth Recurrent Neural Differential Equations. ECML/PKDD (2) 2023: 223-238 - 2022
- [c4]Srinivas Anumasa, P. K. Srijith:
Latent Time Neural Ordinary Differential Equations. AAAI 2022: 6010-6018 - [i5]Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith:
Continuous Depth Recurrent Neural Differential Equations. CoRR abs/2212.13714 (2022) - 2021
- [c3]Srinivas Anumasa, P. K. Srijith:
Delay Differential Neural Networks. ICMLT 2021: 117-121 - [c2]Srinivas Anumasa, P. K. Srijith:
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. WACV 2021: 4052-4060 - [i4]Srinivas Anumasa, P. K. Srijith:
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. CoRR abs/2112.12707 (2021) - [i3]Srinivas Anumasa, P. K. Srijith:
Latent Time Neural Ordinary Differential Equations. CoRR abs/2112.12728 (2021) - [i2]Maunika Tamire, Srinivas Anumasa, P. K. Srijith:
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. CoRR abs/2112.12809 (2021) - 2020
- [c1]Dinesh Jain, Srinivas Anumasa, P. K. Srijith
:
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. COMAD/CODS 2020: 143-151 - [i1]Srinivas Anumasa, P. K. Srijith:
Delay Differential Neural Networks. CoRR abs/2012.06800 (2020)
Coauthor Index
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