Energy use of AI inference, efficiency pathways, and test-time scaling
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
Joule | April 2026
Felipe Oviedo
Principal Research Scientist
출판물
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SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
February 2026
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Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
Radiology | December 2025
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Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
September 2025
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AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
August 2025
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Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
Radiology | July 2025
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Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
Cancers | May 2025
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Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
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HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
European Society of Medicine | November 2023
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DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
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Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
Nature Communications | February 2023
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An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, 제 9 권(1): pp. 1-13
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Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
ACS Publications | June 2022
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BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
April 2022
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Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
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How machine learning can help select capping layers to suppress perovskite degradation
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Nature Communications | August 2020, 제 11 권(1): pp. 4172-4172
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Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
January 2020
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Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
Joule | June 2019, 제 3 권(6): pp. 1437-1451
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Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi
May 2019
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Energy use of AI inference, efficiency pathways, and test-time scaling
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
Joule | April 2026
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SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
February 2026
-
Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
Radiology | December 2025
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Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
September 2025
-
AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
August 2025
-
Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
Radiology | July 2025
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Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
Cancers | May 2025
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Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
-
HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
European Society of Medicine | November 2023
-
DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
-
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
ACS Publications | June 2022
-
BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
April 2022
-
Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
-
How machine learning can help select capping layers to suppress perovskite degradation
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Nature Communications | August 2020, 제 11 권(1): pp. 4172-4172
-
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
January 2020
-
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
Joule | June 2019, 제 3 권(6): pp. 1437-1451
-
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi
May 2019
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SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
February 2026
-
Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
Radiology | December 2025
-
Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
Radiology | July 2025
-
Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
Cancers | May 2025
-
Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
-
Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
Nature Communications | February 2023
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Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
September 2025
-
AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
August 2025
-
DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
-
An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, 제 9 권(1): pp. 1-13
-
How machine learning can help select capping layers to suppress perovskite degradation
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Nature Communications | August 2020, 제 11 권(1): pp. 4172-4172
-
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
January 2020
-
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
Joule | June 2019, 제 3 권(6): pp. 1437-1451
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-
-
BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
April 2022
-
-
-
Energy use of AI inference, efficiency pathways, and test-time scaling
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
Joule | April 2026
-
Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
Radiology | December 2025
-
Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
Radiology | July 2025
-
Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
Cancers | May 2025
-
Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
-
HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
European Society of Medicine | November 2023
-
Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
Nature Communications | February 2023
-
An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
Scientific Data | August 2022, 제 9 권(1): pp. 1-13
-
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
ACS Publications | June 2022
-
How machine learning can help select capping layers to suppress perovskite degradation
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
Nature Communications | August 2020, 제 11 권(1): pp. 4172-4172
-
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
Joule | June 2019, 제 3 권(6): pp. 1437-1451
-
-
-
SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
February 2026
-
Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
September 2025
-
AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
August 2025
-
DeepDeg: Forecasting and explaining degradation in novel photovoltaics
Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
March 2023
-
BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
April 2022
-
-
-
Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
-
-
-
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
January 2020
-
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi
May 2019
-