Publications
This section contains publications published by ISI over the past several decades.
2023
A framework for the broad dissemination of hydrological models for non-expert users
Timo Schaffhauser, Daniel Garijo, Maximiliano Osorio, Daniel Bittner, Suzanne Pierce, Hernán Vargas, Markus Disse, Yolanda Gil
Environmental Modelling & Software 164, 105695, 2023
Reproducibility as a Stepping Stone to Intelligent Assistants for Data Analysis: Recreating a Study of Physical Activity, Sleep, and Work Shift in Nurses
Detravious Jamari Brinkley, Emmanuel Johnson, Tiantian Feng, Yolanda Gil
Companion Proceedings of the 28th International Conference on Intelligent …, 2023
Cyberinfrastructure for collecting and integrating geology field data: Community priorities and research agenda
Matty Mookerjee, Marjorie A Chan, Yolanda Gil, Gurman Gill, Charles Goodwin, Terry L Pavlis, Thomas F Shipley, Taylor Swain, Basil Tikoff, Daniel Vieira
2023
Towards Reflection Competencies in Intelligent Systems for Science
Yolanda Gil
Artificial Intelligence for Science: A Deep Learning Revolution, 693-705, 2023
IEEE Security and Privacy Symposium in the Year 2003
Terry Benzel, Hilarie Orman
IEEE Security & Privacy 21 (2), 43-47, 2023
DeterLab Testbed for Cybersecurity Experimentation
Terry Benzel, Jelena Mirkovic, David Balenson, Brian Kocoloski
2023
Security and Privacy Research Artifacts: Are We Making Progress?
Terry Benzel
IEEE Security & Privacy 21 (01), 4-6, 2023
When bio-inspired computing meets deep learning: Low-latency, accurate, & energy-efficient spiking neural networks from artificial neural networks
Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A Beerel
arXiv preprint arXiv:2312.06900, 2023
Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence
Zihan Yin, Gourav Datta, Md Abdullah-Al Kaiser, Peter Beerel, Ajey Jacob, Akhilesh Jaiswal
2023 IEEE International Conference on Rebooting Computing (ICRC), 1-5, 2023
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
Gourav Datta, Zeyu Liu, Anni Li, Peter A Beerel
arXiv preprint arXiv:2311.16456, 2023
RNA-ViT: reduced-dimension approximate normalized attention vision transformers for latency efficient private inference
Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A Beerel
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types
Yue Hu, Gourav Datta, Kira Beerel, Peter Beerel
arXiv preprint arXiv:2309.08136, 2023
Results from the coldflux superconductor integrated circuit design tool project
Coenrad J Fourie, Kyle Jackman, Johannes Delport, Lieze Schindler, Tessa Hall, Pascal Febvre, Lucas Iwanikow, Olivia Chen, Christopher L Ayala, Nobuyuki Yoshikawa, Mark Law, Thomas A Weingartner, Yanzhi Wang, Peter Beerel, Sandeep Gupta, Haipeng Zha, Sasan Razmkhah, Mustafa Altay Karamuftuoglu, Arash Fayyazi, Mingye Li, Murali Annavaram, Shahin Nazarian, Massoud Pedram
IEEE Transactions on Applied Superconductivity 33 (8), 1-26, 2023
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency
Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A Beerel
2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023
Open Access Edited by
Bert Offrein, Michael Wynn Hopkins, Leslie Samuel Smith, Md Abdullah-Al Kaiser, MAA Kaiser, G Datta, Z Wang, AP Jacob, PA Beerel, AR Jaiswal
Physical neuromorphic computing and its industrial applications, 148, 2023
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A Beerel
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
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
Proceedings of the Great Lakes Symposium on VLSI 2023, 333-338, 2023
Technology-circuit-algorithm tri-design for processing-in-pixel-in-memory (p2m)
Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P Jacob, Peter A Beerel, Akhilesh R Jaiswal
Proceedings of the Great Lakes Symposium on VLSI 2023, 613-618, 2023
Sparse mixture once-for-all adversarial training for efficient in-situ trade-off between accuracy and robustness of DNNs
Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A Beerel
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
In-sensor & neuromorphic computing are all you need for energy efficient computer vision
Gourav Datta, Zeyu Liu, Md Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P Jacob, Akhilesh R Jaiswal, Peter A Beerel
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023