Angel Yanguas-Gil

According to our database, Angel Yanguas-Gil authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features.

Angel Yanguas-Gil, Jeffrey W. Elam

CoRR, June, 2025

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants.

Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens

CoRR, February, 2025

2024

Benchmarking large language models for materials synthesis: the case of atomic layer deposition.

Angel Yanguas-Gil, Matthew T. Dearing, Jeffrey W. Elam, Jessica C. Jones, Sungjoon Kim, Adnan Mohammad, Chi Thang Nguyen, Bratin Sengupta

CoRR, 2024

2023

A domain-agnostic approach for characterization of lifelong learning systems.

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, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

Design Principles for Lifelong Learning AI Accelerators.

Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein

CoRR, 2023

Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors.

Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures.

Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Biological underpinnings for lifelong learning machines.

Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann

Nat. Mach. Intell., 2022

General policy mapping: online continual reinforcement learning inspired on the insect brain.

Angel Yanguas-Gil, Sandeep Madireddy

CoRR, 2022

Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks.

Angel Yanguas-Gil, Jeffrey W. Elam

CoRR, 2022

AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures.

Angel Yanguas-Gil, Sandeep Madireddy

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021

Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings.

Angel Yanguas-Gil

CoRR, 2021

Atomic Layer Deposition Optimization Using Convolutional Neural Networks.

Julian Cagnazzo, Osama Sam Abuomar, Angel Yanguas-Gil, Jeffrey W. Elam

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020

Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning.

Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash

CoRR, 2020

Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware.

Angel Yanguas-Gil

Proceedings of the International Conference on Neuromorphic Systems, 2020

2019

Task-Based Neuromodulation Architecture for Lifelong Learning.

Anurag Reddy Daram, Dhireesha Kudithipudi, Angel Yanguas-Gil

Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning.

Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Polymers Selection for Harsh Environments to Be Processed Using Additive Manufacturing Techniques.

Alvaro Rodríguez-Prieto, Ana María Camacho, Ana M. Aragon, Miguel Angel Sebastián, Angel Yanguas-Gil

IEEE Access, 2018

Going Small: Using the Insect Brain as a Model System for Edge Processing Applications.

Angel Yanguas-Gil

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018