Peter Beerel

Peter Beerel

University of Southern California

H-index: 39

North America-United States

About Peter Beerel

Peter Beerel, With an exceptional h-index of 39 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Machine Learning, Hardware Security, Superconducting Electronics, CAD/VLSI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Programming memristor arrays with arbitrarily high precision for analog computing

Training Ultra-Low-Latency Spiking Neural Networks from Scratch

Linearizing Models for Efficient yet Robust Private Inference

Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

Mitigate replication and copying in diffusion models with generalized caption and dual fusion enhancement

A Novel Optimization Algorithm for Buffer and Splitter Minimization in Phase-Skipping Adiabatic Quantum-Flux-Parametron Circuits

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models

Peter Beerel Information

University

Position

Professor of Electrical Engineering

Citations(all)

5639

Citations(since 2020)

1491

Cited By

4521

hIndex(all)

39

hIndex(since 2020)

18

i10Index(all)

122

i10Index(since 2020)

45

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Peter Beerel Skills & Research Interests

Machine Learning

Hardware Security

Superconducting Electronics

CAD/VLSI

Top articles of Peter Beerel

Title

Journal

Author(s)

Publication Date

Programming memristor arrays with arbitrarily high precision for analog computing

Science

Wenhao Song

Mingyi Rao

Yunning Li

Can Li

Ye Zhuo

...

2024/2/23

Training Ultra-Low-Latency Spiking Neural Networks from Scratch

Gourav Datta*

Zeyu Liu*

Peter A Beerel

2024

Linearizing Models for Efficient yet Robust Private Inference

arXiv preprint arXiv:2402.05521

Sreetama Sarkar

Souvik Kundu

Peter A Beerel

2024/2/8

Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology

Souvik Kundu

Rui-Jie Zhu

Akhilesh Jaiswal

Peter A Beerel

2024/4/14

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

arXiv preprint arXiv:2402.04882

Zeyu Liu

Gourav Datta

Anni Li

Peter Anthony Beerel

2024/1/20

Mitigate replication and copying in diffusion models with generalized caption and dual fusion enhancement

Chenghao Li

Dake Chen

Yuke Zhang

Peter A Beerel

2024/4/14

A Novel Optimization Algorithm for Buffer and Splitter Minimization in Phase-Skipping Adiabatic Quantum-Flux-Parametron Circuits

arXiv preprint arXiv:2401.07393

Robert S Aviles

Peter A Beerel

2024/1/14

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models

arXiv preprint arXiv:2403.13269

Zeyu Liu

Souvik Kundu

Anni Li

Junrui Wan

Lianghao Jiang

...

2024/3/20

An Efficient and Scalable Clocking Assignment Algorithm for Multi-Threaded Multi-Phase Single Flux Quantum Circuits

arXiv preprint arXiv:2401.06411

Robert S Aviles

Xi Li

Lei Lu

Zhaorui Ni

Peter A Beerel

2024/1/12

Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ

arXiv preprint arXiv:2402.15121

Md Abdullah-Al Kaiser

Gourav Datta

Peter A Beerel

Akhilesh R Jaiswal

2024/2/23

Guest Editorial: Special Issue on Learning, Optimization, and Implementation for Circuits and Systems Driven by Artificial Intelligence

IEEE Transactions on Circuits and Systems I: Regular Papers

Yang Tang

Peter A Beerel

Jürgen Kurths

Guanrong Chen

2024/4/29

Float: fast learnable once-for-all adversarial training for tunable trade-off between accuracy and robustness

Souvik Kundu

Sairam Sundaresan

Massoud Pedram

Peter A Beerel

2023

SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation

Yuke Zhang

Dake Chen

Souvik Kundu

Chenghao Li

Peter A Beerel

2023

ViTA: A vision transformer inference accelerator for edge applications

Shashank Nag

Gourav Datta

Souvik Kundu

Nitin Chandrachoodan

Peter A Beerel

2023/5/21

Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks

Dake Chen

Christine Goins

Maxwell Waugaman

Georgios D Dimou

Peter A Beerel

2023/6/5

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types

arXiv preprint arXiv:2309.08136

Yue Hu

Gourav Datta

Kira Beerel

Peter Beerel

2023/9/15

When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks

arXiv preprint arXiv:2312.06900

Gourav Datta

Zeyu Liu

James Diffenderfer

Bhavya Kailkhura

Peter A Beerel

2023/12/12

FireFly: A Synthetic Dataset for Ember Detection in Wildfire

Yue Hu

Xinan Ye

Yifei Liu

Souvik Kundu

Gourav Datta

...

2023

Neuromorphic-p2m: processing-in-pixel-in-memory paradigm for neuromorphic image sensors

Frontiers in Neuroinformatics

Md Abdullah-Al Kaiser

Gourav Datta

Zixu Wang

Ajey P Jacob

Peter A Beerel

...

2023/5/4

Technology-circuit-algorithm tri-design for processing-in-pixel-in-memory (p2m)

Md Abdullah-Al Kaiser

Gourav Datta

Sreetama Sarkar

Souvik Kundu

Zihan Yin

...

2023/6/5

See List of Professors in Peter Beerel University(University of Southern California)

Co-Authors

H-index: 49
Ran Ginosar

Ran Ginosar

Technion - Israel Institute of Technology

H-index: 45
Steven Nowick

Steven Nowick

Columbia University in the City of New York

H-index: 36
Keith Chugg

Keith Chugg

University of Southern California

H-index: 33
Ney Laert Vilar Calazans

Ney Laert Vilar Calazans

Pontifícia Universidade Católica do Rio Grande do Sul

H-index: 31
Pierluigi Nuzzo

Pierluigi Nuzzo

University of Southern California

H-index: 20
Akhilesh Jaiswal

Akhilesh Jaiswal

University of Southern California

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