Publications
This section contains publications published by ISI over the past several decades.
2021
HYPER-SNN: Towards energy-efficient quantized deep spiking neural networks for hyperspectral image classification
Gourav Datta, Souvik Kundu, Akhilesh R Jaiswal, Peter A Beerel
arXiv preprint arXiv:2107.11979, 2021
Training energy-efficient deep spiking neural networks with single-spike hybrid input encoding
Gourav Datta, Souvik Kundu, Peter A Beerel
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Towards low-latency energy-efficient deep snns via attention-guided compression
Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A Beerel
arXiv preprint arXiv:2107.12445, 2021
Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning
Sourya Dey, Sara Babakniya, Saikrishna C Kanala, Marco Paolieri, Leana Golubchik, Peter A Beerel, Keith M Chugg
SN Computer Science 2 (4), 265, 2021
Converting flip-flop to clock-gated 3-phase latch-based designs using graph-based retiming
Huimei Cheng, Xi Li, Yichen Gu, Peter A Beerel
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
Metastability in superconducting single flux quantum (SFQ) logic
Gourav Datta, Yunkun Lin, Bo Zhang, Peter A Beerel
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (5), 1990-2002, 2021
GF-Flush: A GF (2) algebraic attack on secure scan chains
Dake Chen, Chunxiao Lin, Peter A Beerel
arXiv preprint arXiv:2101.12279, 2021
Dnr: A tunable robust pruning framework through dynamic network rewiring of dnns
Souvik Kundu, Mahdi Nazemi, Peter A Beerel, Massoud Pedram
Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021
Hire-snn: Harnessing the inherent robustness of energy-efficient deep spiking neural networks by training with crafted input noise
Souvik Kundu, Massoud Pedram, Peter A Beerel
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Acknowledgment to Reviewers of Journal of Low Power Electronics and Applications in 2020
Orazio Aiello, George Floros, Baris Aksanli, Jose Manuel Cano Garcia, Dochshanov M Alden, Ioannidis George, Fathi Amsaad, Orestis Georgiou, Jesús Sergio Artal-Sevil, Manuel Gericota, Nabil Ashraf, Gian Piero Gibiino, Woorham Bae, Marco Girolami, Philip J Basford, Ray Ramon Gomez, Prabal Basu, Carl Grace, Ahmad Bazzi, David W Graham, Peter A Beerel, Lorena Guachi, Kamel Belloulata, Esteban Martínez Guerrero, Alessandro Bertacchini, Eric Gutierrez, Ganapati Bhat, Md Sakib Hasan, Paul Bogdan, Christian Haubelt, Razvan Bogdan, Luc HEBRARD, Carlo Cagli, Sebastian Hoeppner, Hao Cai, Teo Tee Hui, Koushik Chakraborty, Yin-Tsung Hwang, Yao-Feng Chang, Jorge Igual, Carmine Ciofi, Supreet Jeloka, Daniel-Ioan Curiac, Waldemar Jendernalik, Jose T De Sousa, Hao Jiang, Michele Dei, Raúl Jiménez-Naharro, Somdip Dey, Blake Joyce, Imed Ben Dhaou, Rajesh JS, Sijun Du, Athanasios Kakarountas, Bogdan Dziadak, Nissar Karim, Mohamed Larbi Elhafyani, Fabian Khateb, Kamal El-Sankary, Sungjun Kim, Jason K Eshraghian, Youngmin Kim, Alberto Ferrante, Nicholas J Kinar
2021
Spike-thrift: Towards energy-efficient deep spiking neural networks by limiting spiking activity via attention-guided compression
Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A Beerel
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
La Jument: Student Created CubeSat for Remote Sensing and Software Testing
Eugene Park, David Barnhart, David Gutierrez, Eva Prestamo, Morgan Farrier, Spencer Wedel, Stephen Hunt
2021
Sensor Fusion Kalman Filtering for Stability and Control of Satellite Swarms
Rahul Rughani, David A Barnhart
16th International Conference on Space Operations, Cape Town, South Africa-3 …, 2021
Understanding population annealing Monte Carlo simulations
Martin Weigel, Lev Barash, Lev Shchur, Wolfhard Janke
Physical Review E 103 (5), 053301, 2021
Modeling unsteady Bénard-Marangoni instabilities in drying volatile droplets on a heated substrate
AA Gavrilina, L Yu Barash
Journal of Experimental and Theoretical Physics 132, 302-312, 2021
Fluid flow structures in an evaporating sessile droplet depending on the droplet size and properties of liquid and substrate
MN Turchaninova, ES Melnikova, AA Gavrilina, L Yu Barash
Journal of Physics: Conference Series 1730 (1), 012029, 2021
Structure aware experience replay for incremental learning in graph-based recommender systems
Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates
CIKM 2021, 2021
Using dynamic time warping self-organizing maps to characterize diurnal patterns in environmental exposures
Kenan Li, Katherine Sward, Huiyu Deng, John Morrison, Rima Habre, Meredith Franklin, Yao-Yi Chiang, Jose Luis Ambite, John P Wilson, Sandrah P Eckel
Scientific reports 11 (1), 24052, 2021
Secure neuroimaging analysis using federated learning with homomorphic encryption
Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M Thompson, Jose Luis Ambite
17th International Symposium on Medical Information Processing and Analysis …, 2021
NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding
Kanix Wang, Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross King, Sophia Ananiadou, Annika M Schoene, Maolin Li, Fenia Christopoulou, José Luis Ambite, Joel Matthew, Sahil Garg, Ulf Hermjakob, Daniel Marcu, Emily Sheng, Tim Beißbarth, Edgar Wingender, Aram Galstyan, Xin Gao, Brendan Chambers, Weidi Pan, Bohdan B Khomtchouk, James A Evans, Andrey Rzhetsky
NPJ systems biology and applications 7 (1), 38, 2021