Srinivas Anumasa

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Biological Systems

Gaussian Process

Differential Equations

Top Venues

Publications

Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong
Data Driven Threshold and Potential Initialization for Spiking Neural Networks. AISTATS (2024)
Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu
Enhancing Training of Spiking Neural Network with Stochastic Latency. AAAI (2024)
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)
Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
Continuous Depth Recurrent Neural Differential Equations. ECML/PKDD (2) (2023)
Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
Continuous Depth Recurrent Neural Differential Equations. CoRR (2022)
Srinivas Anumasa, P. K. Srijith
Latent Time Neural Ordinary Differential Equations. AAAI (2022)
Srinivas Anumasa, P. K. Srijith
Delay Differential Neural Networks. ICMLT (2021)
Maunika Tamire, Srinivas Anumasa, P. K. Srijith
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification. CoRR (2021)
Srinivas Anumasa, P. K. Srijith
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. CoRR (2021)
Srinivas Anumasa, P. K. Srijith
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations. WACV (2021)
Srinivas Anumasa, P. K. Srijith
Latent Time Neural Ordinary Differential Equations. CoRR (2021)
Dinesh Jain, Srinivas Anumasa, P. K. Srijith
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. COMAD/CODS (2020)
Srinivas Anumasa, P. K. Srijith
Delay Differential Neural Networks. CoRR (2020)