Yeshwanth Venkatesha

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Learning Systems

Avoid Overfitting

Temporal Information

Top Venues

Publications

Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
HaLo-FL: Hardware-Aware Low-Precision Federated Learning. DATE (2024)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems. Neural Networks 168 (2023)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI (2023)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems. CoRR (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. ACM Great Lakes Symposium on VLSI (2023)
Abhiroop Bhattacharjee, Abhishek Moitra, Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing. CoRR (2023)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) (2022)
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
PrivateSNN: Privacy-Preserving Spiking Neural Networks. AAAI (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? ICASSP (2022)
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. ECCV (24) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
Neural Architecture Search for Spiking Neural Networks. CoRR (2022)
Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? CoRR (2022)
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. DAC (2022)
Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning. CoRR (2022)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning With Spiking Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. DATE (2021)
Yeshwanth Venkatesha, Youngeun Kim, Leandros Tassiulas, Priyadarshini Panda
Federated Learning with Spiking Neural Networks. CoRR (2021)
Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. CoRR (2021)
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks. CoRR (2021)
Timothy Foldy-Porto, Yeshwanth Venkatesha, Priyadarshini Panda
Activation Density Driven Efficient Pruning in Training. ICPR (2020)