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Publication search results
found 133 matches
- 2024
- Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras:
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. IEEE Trans. Medical Imaging 43(1): 351-365 (2024) - Nick Bryan-Kinns, Corey Ford, Shuoyang Zheng, Helen Kennedy, Alan Chamberlain, Makayla Lewis, Drew Hemment, Zijin Li, Qiong Wu, Lanxi Xiao, Gus G. Xia, Jeba Rezwana, Michael Clemens, Gabriel Vigliensoni:
Explainable AI for the Arts 2 (XAIxArts2). Creativity & Cognition 2024: 86-92 - Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung:
Visibility into AI Agents. FAccT 2024: 958-973 - Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung:
Visibility into AI Agents. CoRR abs/2401.13138 (2024) - Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR abs/2404.09932 (2024) - Alan Chan, Noam Kolt, Peter Wills, Usman Anwar, Christian Schröder de Witt, Nitarshan Rajkumar, Lewis Hammond, David Krueger, Lennart Heim, Markus Anderljung:
IDs for AI Systems. CoRR abs/2406.12137 (2024) - Nick Bryan-Kinns, Corey Ford, Shuoyang Zheng, Helen Kennedy, Alan Chamberlain, Makayla Lewis, Drew Hemment, Zijin Li, Qiong Wu, Lanxi Xiao, Gus Xia, Jeba Rezwana, Michael Clemens, Gabriel Vigliensoni:
Proceedings of The second international workshop on eXplainable AI for the Arts (XAIxArts). CoRR abs/2406.14485 (2024) - Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024) - Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - 2023
- Minki Kim, Alan Lew:
Leray Numbers of Tolerance Complexes. Comb. 43(5): 985-1006 (2023) - Alan Lewis, Tim Miller:
Deceptive Reinforcement Learning in Model-Free Domains. ICAPS 2023: 587-595 - Calvin Alan Liang, Emily Tseng, Akeiylah Dewitt, Yasmine Kotturi, Sucheta Ghoshal, Angela D. R. Smith, Marisol Wong-Villacres, Lauren Wilcox, Sheena Erete:
Surfacing Structural Barriers to Community-Collaborative Approaches in Human-Computer Interaction. CSCW Companion 2023: 542-546 - Alan Lewis, Tim Miller:
Deceptive Reinforcement Learning in Model-Free Domains. CoRR abs/2303.10838 (2023) - Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan:
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR abs/2305.09617 (2023) - Markus Anderljung, Joslyn Barnhart, Anton Korinek, Jade Leung, Cullen O'Keefe, Jess Whittlestone, Shahar Avin, Miles Brundage, Justin Bullock, Duncan Cass-Beggs, Ben Chang, Tantum Collins, Tim Fist, Gillian K. Hadfield, Alan Hayes, Lewis Ho, Sara Hooker, Eric Horvitz, Noam Kolt, Jonas Schuett, Yonadav Shavit, Divya Siddarth, Robert Trager, Kevin Wolf:
Frontier AI Regulation: Managing Emerging Risks to Public Safety. CoRR abs/2307.03718 (2023) - Rasha U. Abbasi, Markus Ackermann, Jenni Adams, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, Antonio Augusto Alves Jr., Najia Moureen Amin, Karen Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., Steven W. Barwick, Vedant Basu, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, M. Boddenberg, F. Bontempo, J. Y. Book, J. Borowka, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, Federica Bradascio, J. Braun, B. Brinson, Stephanie Bron, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, Janet Marie Conrad, et al.:
Observation of high-energy neutrinos from the Galactic plane. CoRR abs/2307.04427 (2023) - Gabriel Mukobi, Hannah Erlebach, Niklas Lauffer, Lewis Hammond, Alan Chan, Jesse Clifton:
Welfare Diplomacy: Benchmarking Language Model Cooperation. CoRR abs/2310.08901 (2023) - 2022
- Alan Lew:
Representability and Boxicity of Simplicial Complexes. Discret. Comput. Geom. 68(2): 592-607 (2022) - Abraham Asfaw, Alexandre Blais, Kenneth R. Brown, Jonathan Candelaria, Christopher Cantwell, Lincoln D. Carr, Joshua Combes, Dripto M. Debroy, John M. Donohue, Sophia E. Economou, Emily Edwards, Michael F. J. Fox, Steven M. Girvin, Alan Ho, Hilary M. Hurst, Zubin Jacob, Blake R. Johnson, Ezekiel Johnston-Halperin, Robert Joynt, Eliot Kapit, Judith Klein-Seetharaman, Martin Laforest, H. J. Lewandowski, Theresa W. Lynn, Corey Rae H. McRae, Celia Merzbacher, Spyridon Michalakis, Prineha Narang, William D. Oliver, Jens Palsberg, David P. Pappas, Michael G. Raymer, David J. Reilly, Mark Saffman, Thomas A. Searles, Jeffrey H. Shapiro, Chandralekha Singh:
Building a Quantum Engineering Undergraduate Program. IEEE Trans. Educ. 65(2): 220-242 (2022) - Niamh McCombe, Alok Joshi, David P. Finn, Paula L. McClean, Gemma Roberts, John T. O'Brien, Alan J. Thomas, Joseph P. M. Kane, KongFatt Wong-Lin:
Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. EMBC 2022: 4929-4933 - Rasha U. Abbasi, Markus Ackermann, Jenni Adams, N. Aggarwal, J. A. Aguilar, Markus Ahlers, Markus Ahrens, J. M. Alameddine, Antonio Augusto Alves Jr., Najia Moureen Amin, Karen Andeen, Tyler Anderson, Gisela Anton, Carlos A. Argüelles, Y. Ashida, S. Athanasiadou, S. Axani, Xinhua Bai, A. Balagopal V., M. Baricevic, Steven W. Barwick, Vedant Basu, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, J. Beise, Chiara Bellenghi, S. Benda, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, F. Bontempo, J. Y. Book, J. Borowka, C. Boscolo Meneguolo, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Braun, B. Brinson, Jannes Brostean-Kaiser, R. T. Burley, Raffaela S. Busse, Michael A. Campana, E. G. Carnie-Bronca, Chujie Chen, Z. Chen, Dmitry Chirkin, K. Choi, B. A. Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, A. Connolly, Janet Marie Conrad, et al.:
Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube. CoRR abs/2209.03042 (2022) - Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras:
3D-GMIC: an efficient deep neural network to find small objects in large 3D images. CoRR abs/2210.08645 (2022) - Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan:
Large Language Models Encode Clinical Knowledge. CoRR abs/2212.13138 (2022) - 2021
- Rebecca C. Jackson, Nicolas Matentzoglu, James A. Overton, Randi Vita, James P. Balhoff, Pier Luigi Buttigieg, Seth Carbon, Mélanie Courtot, Alexander D. Diehl, Damion M. Dooley, William D. Duncan, Nomi L. Harris, Melissa A. Haendel, Suzanna E. Lewis, Darren A. Natale, David Osumi-Sutherland, Alan Ruttenberg, Lynn M. Schriml, Barry Smith, Christian J. Stoeckert Jr., Nicole A. Vasilevsky, Ramona L. Walls, Jie Zheng, Christopher J. Mungall, Bjoern Peters:
OBO Foundry in 2021: operationalizing open data principles to evaluate ontologies. Database J. Biol. Databases Curation 2021 (2021) - Mona Omidyeganeh, Najmeh Khalili-Mahani, Patrick Bermudez, Alison Ross, Claude Lepage, Robert D. Vincent, Seun Jeon, Lindsay B. Lewis, Samir Das, Alex P. Zijdenbos, Pierre Rioux, Reza Adalat, Matthijs C. van Eede, Alan C. Evans:
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines. Frontiers Neuroinformatics 15: 665560 (2021) - Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras:
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3(8): 735-736 (2021) - Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Kathy Kornas, Vinyas Harish, Tristan Watson, Gary F. Lewis, Alanna Weisman, Tomi Poutanen, Laura C. Rosella:
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. npj Digit. Medicine 4 (2021) - Matthew I. J. Raybould, Claire Marks, Aleksandr Kovaltsuk, Alan P. Lewis, Jiye Shi, Charlotte M. Deane:
Public Baseline and shared response structures support the theory of antibody repertoire functional commonality. PLoS Comput. Biol. 17(3) (2021) - Ayse S. Cakmak, Erick Andres Perez-Alday, Giulia Da Poian, Ali Bahrami Rad, Thomas J. Metzler, Thomas Neylan, Stacey L. House, Francesca L. Beaudoin, Xinming An, Jennifer S. Stevens, Donglin Zeng, Sarah D. Linnstaedt, Tanja Jovanovic, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, Christopher A. Lewandowski, Phyllis L. Hendry, Sophia Sheikh, Alan B. Storrow, Paul I. Musey, John P. Haran, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Meghan McGrath, Mark J. Seamon, Kamran Mohiuddin, Anna M. Chang, Claire Pearson, Robert M. Domeier, Steven E. Bruce, Brian J. O'Neil, Niels K. Rathlev, Leon D. Sanchez, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, Steven E. Harte, James M. Elliott, Ronald C. Kessler, Karestan C. Koenen, Kerry J. Ressler, Samuel A. McLean, Qiao Li, Gari D. Clifford:
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort. IEEE J. Biomed. Health Informatics 25(8): 2866-2876 (2021)
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