Publications
This section contains publications published by ISI over the past several decades.
2025
CyberShake Study 24.8 PSHA Model for Northern California
S Callaghan, P Maechling, R Graves, K Olsen, X Meng, M Su, M Moschetti, A Kottke, C Ignacio, P Ramos, K Milner, F Silva, A Bhatthal, K Vahi, E Deelman, Y Cui, N Abrahamson, Y Ben-Zion
SCEC Publications, 2025
2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations
Jiageng Zhu, Hanchen Xie, Jiazhi Li, Wael Abd-Almageed
arXiv preprint arXiv:2407.20553, 2024
Ethics and fairness for diabetes artificial intelligence
Jiazhi Li, Wael Abd-Almageed
Diabetes Digital Health, Telehealth, and Artificial Intelligence, 263-274, 2024
Poster: Security and Privacy Heterogeneous Environment for Reproducible Experimentation (SPHERE)
Jelena Mirkovic, David Balenson, Brian Kocoloski, Geoff Lawler, Chris Tran, Joseph Barnes, Yuri Pradkin, Terry Benzel, Srivatsan Ravi, Ganesh Sankaran, Alba Regalado, David Choffnes, Daniel Dubois, Luis Garcia
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication
Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A Beerel
arXiv preprint arXiv:2412.01118, 2024
What Makes Vision Transformers Robust Towards Bit-Flip Attack?
Xuan Zhou, Souvik Kundu, Dake Chen, Jie Huang, Peter Beerel
International Conference on Pattern Recognition, 424-438, 2024
A Joint Optimization of Buffer and Splitter Insertion for Phase-Skipping Adiabatic Quantum-Flux-Parametron Circuits
Robert S Aviles, Peter A Beerel
2024 IEEE 42nd International Conference on Computer Design (ICCD), 534-541, 2024
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
Jacob Huckelberry, Yuke Zhang, Allison Sansone, James Mickens, Peter A Beerel, Vijay Janapa Reddi
arXiv preprint arXiv:2411.07114, 2024
Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types
Yue Hu, Gourav Datta, Kira Beerel, Yao Liu, Peter Beerel
2024 IEEE Workshop on Signal Processing Systems (SiPS), 113-118, 2024
FireLoc: Low-latency Multi-modal Wildfire Geolocation
Xiao Fu, Yue Hu, Prashanth Sutrave, Peter A Beerel, Barath Raghavan
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems …, 2024
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence
Md Abdullah-Al Kaiser, Gourav Datta, Jordan Athas, Christian Duffee, Ajey P Jacob, Pedram Khalili Amiri, Peter A Beerel, Akhilesh R Jaiswal
arXiv e-prints, arXiv: 2410.10592, 2024
Delay Balancing with Clock-Follow-Data: Optimizing Area Delay Trade-offs for Robust Rapid Single Flux Quantum Circuits
Robert S Aviles, Peter A Beerel
arXiv preprint arXiv:2409.04944, 2024
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors
Md Abdullah-Al Kaiser, Sreetama Sarkar, Peter A Beerel, Akhilesh R Jaiswal, Gourav Datta
arXiv e-prints, arXiv: 2409.17341, 2024
MaskVD: Region Masking for Efficient Video Object Detection
Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A Beerel
arXiv preprint arXiv:2407.12067, 2024
Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ
Md Abdullah-Al Kaiser, Gourav Datta, Peter A Beerel, Akhilesh R Jaiswal
Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024
Peripheral circuits for processing in-pixel
P Beerel, G Datta, AP Jacob, A Jaiswal, Z Yin
US Patent App. 18/545,859, 2024
Guest Editorial: Special Issue on Learning, Optimization, and Implementation for Circuits and Systems Driven by Artificial Intelligence
Yang Tang, Peter A Beerel, Jürgen Kurths, Guanrong Chen
IEEE Transactions on Circuits and Systems I: Regular Papers 71 (5), 1965-1968, 2024
Training Ultra-Low-Latency Spiking Neural Networks from Scratch
Gourav Datta, Zeyu Liu, Peter A Beerel
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
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
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Mitigate replication and copying in diffusion models with generalized caption and dual fusion enhancement
Chenghao Li, Dake Chen, Yuke Zhang, Peter A Beerel
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024