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Srinivas Anumasa
Srinivas Anumasa
Post Doctoral Researcher
在 alumni.iith.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Improving robustness and uncertainty modelling in neural ordinary differential equations
S Anumasa, PK Srijith
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
122021
Bin Gu
H Jiang, S Anumasa, G De Masi, H Xiong
A unified optimization framework of ann-snn conversion: Towards optimal …, 2023
72023
Latent time neural ordinary differential equations
S Anumasa, PK Srijith
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6010-6018, 2022
72022
Delay differential neural networks
S Anumasa, S PK
Proceedings of the 2021 6th International Conference on Machine Learning …, 2021
52021
A unified optimization framework of ANN-SNN conversion: Towards optimal mapping from activation values to firing rates
H Jiang, S Anumasa, G De Masi, H Xiong, B Gu
International Conference on Machine Learning, 14945-14974, 2023
42023
Decision making under uncertainty with convolutional deep gaussian processes
D Jain, S Anumasa, PK Srijith
Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 143-151, 2020
32020
Cut-Out Animation Using Magnet Motion
S Anumasa, A Singh, R Yadav
International Journal of Image Processing (IJIP) 7 (4), 353-357, 2013
32013
Bi-directional recurrent neural ordinary differential equations for social media text classification
M Tamire, S Anumasa, PK Srijith
arXiv preprint arXiv:2112.12809, 2021
22021
Data Driven Threshold and Potential Initialization for Spiking Neural Networks
V Bojkovic, S Anumasa, G De Masi, B Gu, H Xiong
International Conference on Artificial Intelligence and Statistics, 4771-4779, 2024
12024
Enhancing Training of Spiking Neural Network with Stochastic Latency
S Anumasa, B Mukhoty, V Bojkovic, G De Masi, H Xiong, B Gu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 10900 …, 2024
2024
Continuous Depth Recurrent Neural Differential Equations
S Anumasa, G Gunapati, PK Srijith
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
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