Angel Yanguas-Gil

25 papers A 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performance of AI agents based on reasoning language models on ALD process optimization tasks. CoRR Angel Yanguas-Gil
2025	J	`jnl`	EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR 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
2025	J	`jnl`	Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features. CoRR Angel Yanguas-Gil, Jeffrey W. Elam
2024	J	`jnl`	Benchmarking large language models for materials synthesis: the case of atomic layer deposition. CoRR Angel Yanguas-Gil, Matthew T. Dearing, Jeffrey W. Elam, Jessica C. Jones, Sungjoon Kim, Adnan Mohammad, Chi Thang Nguyen, Bratin Sengupta
2023	J	`jnl`	A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR 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 Dimitri 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
2023	J	`jnl`	A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 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
2023	J	`jnl`	AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. CoRR Angel Yanguas-Gil, Sandeep Madireddy
2023	J	`jnl`	Design Principles for Lifelong Learning AI Accelerators. CoRR 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
2023	—	`conf`	Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. CoLLAs Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
2023	J	`jnl`	Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. CoRR Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
2023	A	`conf`	Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. DATE Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li
2022	—	`conf`	AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. ICRC Angel Yanguas-Gil, Sandeep Madireddy
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 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
2022	J	`jnl`	General policy mapping: online continual reinforcement learning inspired on the insect brain. CoRR Angel Yanguas-Gil, Sandeep Madireddy
2022	J	`jnl`	Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks. CoRR Angel Yanguas-Gil, Jeffrey W. Elam
2021	—	`conf`	Atomic Layer Deposition Optimization Using Convolutional Neural Networks. CSCI Julian Cagnazzo, Osama Sam Abuomar, Angel Yanguas-Gil, Jeffrey W. Elam
2021	J	`jnl`	Fast, Smart Neuromorphic Sensors Based on Heterogeneous Networks and Mixed Encodings. CoRR Angel Yanguas-Gil
2020	—	`conf`	Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. ICONS Angel Yanguas-Gil
2020	J	`jnl`	Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware. CoRR Angel Yanguas-Gil
2020	J	`jnl`	Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning. CoRR Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
2019	—	`conf`	Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. ICONS Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
2019	J	`jnl`	Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning. CoRR Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash
2019	—	`conf`	Task-Based Neuromodulation Architecture for Lifelong Learning. ISQED Anurag Reddy Daram, Dhireesha Kudithipudi, Angel Yanguas-Gil
2018	—	`conf`	Going Small: Using the Insect Brain as a Model System for Edge Processing Applications. ACM Great Lakes Symposium on VLSI Angel Yanguas-Gil
2018	J	`jnl`	Polymers Selection for Harsh Environments to Be Processed Using Additive Manufacturing Techniques. IEEE Access Alvaro Rodríguez-Prieto, Ana María Camacho, Ana M. Aragon, Miguel Angel Sebastián, Angel Yanguas-Gil