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Angel Yanguas-Gil
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2020 – today
- 2023
- [j3]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c8]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. CoLLAs 2023: 992-1008 - [c7]Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li:
Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. DATE 2023: 1-6 - [i10]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i9]Angel Yanguas-Gil, Sandeep Madireddy
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. CoRR abs/2302.13210 (2023) - [i8]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. CoRR abs/2308.04539 (2023) - [i7]Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone
Design Principles for Lifelong Learning AI Accelerators. CoRR abs/2310.04467 (2023) - 2022
- [j2]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c6]Angel Yanguas-Gil
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. ICRC 2022: 24-29 - [i6]Angel Yanguas-Gil, Jeffrey W. Elam:
Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks. CoRR abs/2205.08378 (2022) - [i5]Angel Yanguas-Gil
General policy mapping: online continual reinforcement learning inspired on the insect brain. CoRR abs/2211.16759 (2022) - 2021
- [c5]Julian Cagnazzo, Osama Sam Abuomar, Angel Yanguas-Gil, Jeffrey W. Elam:
Atomic Layer Deposition Optimization Using Convolutional Neural Networks. CSCI 2021: 228-232 - [i4]Angel Yanguas-Gil
Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings. CoRR abs/2104.04121 (2021) - 2020
- [c4]Angel Yanguas-Gil
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. ICONS 2020: 2:1-2:7 - [i3]Angel Yanguas-Gil:
Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. CoRR abs/2007.06176 (2020) - [i2]Sandeep Madireddy
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning. CoRR abs/2007.08159 (2020)
2010 – 2019
- 2019
- [c3]Sandeep Madireddy
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. ICONS 2019: 5:1-5:5 - [c2]Anurag Reddy Daram
Task-Based Neuromodulation Architecture for Lifelong Learning. ISQED 2019: 191-197 - [i1]Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash:
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. CoRR abs/1906.01668 (2019) - 2018
- [j1]Alvaro Rodríguez-Prieto
Polymers Selection for Harsh Environments to Be Processed Using Additive Manufacturing Techniques. IEEE Access 6: 29899-29911 (2018) - [c1]Angel Yanguas-Gil:
Going Small: Using the Insect Brain as a Model System for Edge Processing Applications. ACM Great Lakes Symposium on VLSI 2018: 373-378
Coauthor Index
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