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Publication search results
found 60 matches
- 2024
- Chao Li, David Delgado-Gómez, Aaron Sújar, Ping Wang, Marina Martín-Moratinos, Marcos Bella-Fernández, Antonio Eduardo Masó-Besga, Inmaculada Peñuelas-Calvo, Juan Ardoy-Cuadros, Paula Hernández-Liebo, Hilario Blasco-Fontecilla:
Assessment of ADHD Subtypes Using Motion Tracking Recognition Based on Stroop Color-Word Tests. Sensors 24(2): 323 (2024) - Shanto Rahman, Aaron Massey, Wing Lam, August Shi, Jonathan Bell:
Automatically Reproducing Timing-Dependent Flaky-Test Failures. ICST 2024: 269-280 - Yazhou Zu, Alireza Ghaffarkhah, Hoang-Vu Dang, Brian Towles, Steven Hand, Safeen Huda, Adekunle Bello, Alexander Kolbasov, Arash Rezaei, Dayou Du, Steve Lacy, Hang Wang, Aaron Wisner, Chris Lewis, Henri Bahini:
Resiliency at Scale: Managing Google's TPUv4 Machine Learning Supercomputer. NSDI 2024: 761-774 - Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau:
NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR abs/2407.14561 (2024) - 2023
- Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4(8): 100822 (2023) - Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville:
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. ICLR 2023 - Adrien Ali Taïga, Rishabh Agarwal, Jesse Farebrother, Aaron C. Courville, Marc G. Bellemare:
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning. ICLR 2023 - Max Schwarzer, Johan Samir Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro:
Bigger, Better, Faster: Human-level Atari with human-level efficiency. ICML 2023: 30365-30380 - Ata Akbari Asanjan, Lucas T. Brady, Zoe Gonzalez Izquierdo, Paul Aaron Lott, Milad Memarzadeh, Nishchay Suri, David Bell, Eleanor Gilbert Rieffel, Shon Grabbe:
Quantum-Assisted Variational Segmentation for Image-to-Image Wildfire Detection Using Satellite Data. IGARSS 2023: 624-626 - Max Schwarzer, Johan S. Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro:
Bigger, Better, Faster: Human-level Atari with human-level efficiency. CoRR abs/2305.19452 (2023) - Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha:
WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR abs/2308.15560 (2023) - Max Schwarzer, Jesse Farebrother, Joshua Greaves, Ekin Dogus Cubuk, Rishabh Agarwal, Aaron C. Courville, Marc G. Bellemare, Sergei V. Kalinin, Igor Mordatch, Pablo Samuel Castro, Kevin M. Roccapriore:
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy. CoRR abs/2311.17894 (2023) - 2022
- Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel:
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2(9): 605-616 (2022) - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3(8): 100568 (2022) - Sean F. Everton, Tara Everton, Aaron Green, Cassie Hamblin, Robert Schroeder:
Strong ties and where to find them: or, why Neville and Bellatrix might be more important than Harry and Tom. Soc. Netw. Anal. Min. 12(1): 112 (2022) - Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare:
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress. NeurIPS 2022 - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury:
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR abs/2202.01615 (2022) - Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare:
Beyond Tabula Rasa: Reincarnating Reinforcement Learning. CoRR abs/2206.01626 (2022) - Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt:
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. CoRR abs/2211.08667 (2022) - 2021
- Mark Baxendale, James M. McGree, Aaron Bellette, Paul Corry:
Machine-based production scheduling for rotomoulded plastics manufacturing. Int. J. Prod. Res. 59(5): 1301-1318 (2021) - Parthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman, Marisabel Guevara, Clinton Wills Smullen IV, Aki Kuusela, Raghu Balasubramanian, Sandeep Bhatia, Prakash Chauhan, Anna Cheung, In Suk Chong, Niranjani Dasharathi, Jia Feng, Brian Fosco, Samuel Foss, Ben Gelb, Sara J. Gwin, Yoshiaki Hase, Da-ke He, C. Richard Ho, Roy W. Huffman Jr., Elisha Indupalli, Indira Jayaram, Poonacha Kongetira, Cho Mon Kyaw, Aaron Laursen, Yuan Li, Fong Lou, Kyle A. Lucke, J. P. Maaninen, Ramon Macias, Maire Mahony, David Alexander Munday, Srikanth Muroor, Narayana Penukonda, Eric Perkins-Argueta, Devin Persaud, Alex Ramírez, Ville-Mikko Rautio, Yolanda Ripley, Amir Salek, Sathish Sekar, Sergey N. Sokolov, Rob Springer, Don Stark, Mercedes Tan, Mark S. Wachsler, Andrew C. Walton, David A. Wickeraad, Alvin Wijaya, Hon Kwan Wu:
Warehouse-scale video acceleration: co-design and deployment in the wild. ASPLOS 2021: 600-615 - Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare:
Deep Reinforcement Learning at the Edge of the Statistical Precipice. NeurIPS 2021: 29304-29320 - Rasha U. Abbasi, Markus Ackermann, Jenni Adams, Juan Antonio Aguilar Sánchez, Markus Ahlers, Markus Ahrens, Cyril Martin Alispach, Antonio Augusto Alves Jr., Najia Moureen Amin, Rui An, Karen Andeen, Tyler Anderson, I. Ansseau, Gisela Anton, Carlos A. Argüelles, Spencer Axani, Xinhua Bai, Aswathi Balagopal V., Anastasia Maria Barbano, Steven W. Barwick, Benjamin Bastian, Vedant Basu, Volker Baum, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, Chiara Bellenghi, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, Alexander Burgman, Raffaela S. Busse, Michael A. Campana, Chujie Chen, Dmitry Chirkin, S. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, Janet Marie Conrad, Paul Coppin, Pablo Correa, Doug F. Cowen, R. Cross, Pranav Dave, Catherine De Clercq, James DeLaunay, Hans Dembinski, Kunal Deoskar, Sam De Ridder, Abhishek Desai, Paolo Desiati, Krijn D. de Vries, Gwenhaël de Wasseige, Meike de With, Tyce DeYoung, Sukeerthi Dharani, Alejandro Diaz, Juan Carlos Díaz-Vélez, Hrvoje Dujmovic, Matthew Dunkman, Michael A. DuVernois, Emily Dvorak, Thomas Ehrhardt, Philipp Eller, Ralph Engel, John Evans, Paul A. Evenson, S. Fahey, Ali R. Fazely, Sebastian Fiedlschuster, Aaron Fienberg, Kirill Filimonov, Chad Finley, Leander Fischer, Derek Fox, Anna Franckowiak, Elizabeth Friedman, Alexander Fritz, Philipp Fürst, Thomas K. Gaisser, Joseph S. Gallagher, Erik Ganster, Simone Garrappa:
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. CoRR abs/2101.11589 (2021) - Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville, Marc G. Bellemare:
Deep Reinforcement Learning at the Edge of the Statistical Precipice. CoRR abs/2108.13264 (2021) - Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare:
On Bonus-Based Exploration Methods in the Arcade Learning Environment. CoRR abs/2109.11052 (2021) - Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner:
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. CoRR abs/2111.07470 (2021) - Rune D. Kjærsgaard, Aaron Bello-Arufe, Alexander D. Rathcke, Lars A. Buchhave, Line Katrine Harder Clemmensen:
Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder. CoRR abs/2111.09081 (2021) - 2020
- Kent A. Shefchek, Nomi L. Harris, Michael A. Gargano, Nicolas Matentzoglu, Deepak R. Unni, Matthew H. Brush, Dan Keith, Tom Conlin, Nicole A. Vasilevsky, Xingmin Aaron Zhang, James P. Balhoff, Larry Babb, Susan M. Bello, Hannah Blau, Yvonne M. Bradford, Seth Carbon, Leigh Carmody, Lauren E. Chan, Valentina Cipriani, Alayne Cuzick, Maria G. Della Rocca, Nathan A. Dunn, Shahim Essaid, Petra Fey, Christian A. Grove, Jean-Philippe F. Gourdine, Ada Hamosh, Midori A. Harris, Ingo Helbig, Maureen E. Hoatlin, Marcin P. Joachimiak, Simon Jupp, Kenneth B. Lett, Suzanna E. Lewis, Craig McNamara, Zoë May Pendlington, Clare Pilgrim, Tim E. Putman, Vida Ravanmehr, Justin T. Reese, Erin Rooney Riggs, Sofia M. C. Robb, Paola Roncaglia, James Seager, Erik Segerdell, Morgan Similuk, Andrea L. Storm, Courtney Thaxon, Anne E. Thessen, Julius O. B. Jacobsen, Julie A. McMurry, Tudor Groza, Sebastian Köhler, Damian Smedley, Peter N. Robinson, Christopher J. Mungall, Melissa A. Haendel, Monica C. Munoz-Torres, David Osumi-Sutherland:
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species. Nucleic Acids Res. 48(Database-Issue): D704-D715 (2020) - Aaron E. Maxwell, Maneesh Sharma, James S. Kite, Kurt A. Donaldson, James A. Thompson, Matthew L. Bell, Shannon M. Maynard:
Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt. Remote. Sens. 12(3): 486 (2020) - Mahsa Honary, Beth T. Bell, Sarah Clinch, Julio Vega, Leo Kroll, Aaron Sefi, Roisin McNaney:
Shaping the Design of Smartphone-Based Interventions for Self-Harm. CHI 2020: 1-14
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