Beerel, Peter Anthony

5 publications

TMLR 2025 When SNN Meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter Anthony Beerel

ICLR 2024 Can We Get the Best of Both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? Gourav Datta, Zeyu Liu, Peter Anthony Beerel

ICLR 2024 LMUFormer: Low Complexity yet Powerful Spiking Model with Legendre Memory Units Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel

ICLRW 2024 Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar, Souvik Kundu, Peter Anthony Beerel

ICLR 2023 Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter Anthony Beerel