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ORCIDRocco D. Febbo
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2020 – today
- 2024
[c6]Jeelka Solanki, Jacob Pelton, Rocco Febbo, Maximilian Liehr, Andrew DeCandia, Karsten Beckmann, Garrett S. Rose, Nathaniel C. Cady:
In-Memory Computation Using CMOS-Integrated Resistive RAM for Robotic Navigation. ICONS 2024: 217-223- 2023
- [j3]Mst Shamim Ara Shawkat
, Md Musabbir Adnan, Rocco D. Febbo, John J. Murray, Garrett S. Rose:
A Single Chip SPAD Based Vision Sensing System With Integrated Memristive Spiking Neuromorphic Processing. IEEE Access 11: 19441-19457 (2023) - [j2]Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose:
Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 889-900 (2023) - [j1]Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4804-4815 (2023) - [c5]Manu Rathore, Rocco D. Febbo, Adam Z. Foshie, Sree Nirmillo Biswash Tushar, Hritom Das, Garrett S. Rose:
Reliability Analysis of Memristive Reservoir Computing Architecture. ACM Great Lakes Symposium on VLSI 2023: 131-136 - [c4]Hritom Das, Manu Rathore, Rocco Febbo, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design. ACM Great Lakes Symposium on VLSI 2023: 281-286 - [i3]Hritom Das, Rocco D. Febbo, Charles Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose:
Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design. CoRR abs/2305.16418 (2023) - [i2]Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks. CoRR abs/2306.06551 (2023) - 2022
- [c3]Md Musabbir Adnan, Mst Shamim Ara Shawkat, Rocco D. Febbo, Garrett S. Rose:
On-Chip Interface for Event based Sensor and Spiking Neuromorphic Processing. MWSCAS 2022: 1-4 - 2020
- [c2]Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. SMC 2020: 35-50 - [c1]Rocco Febbo, Brendan Flood, Julian Halloy, Patrick Lau, Kwai Wong, Alan Ayala:
Autonomous Vehicle Control Using a Deep Neural Network and Jetson Nano. PEARC 2020: 333-338 - [i1]Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. CoRR abs/2011.11188 (2020)
Coauthor Index
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