- 2020
- Manuel Blum, Santosh S. Vempala
:
The complexity of human computation via a concrete model with an application to passwords. Proc. Natl. Acad. Sci. USA 117(17): 9208-9215 (2020) - Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears:
Improved surrogates in inertial confinement fusion with manifold and cycle consistencies. Proc. Natl. Acad. Sci. USA 117(18): 9741-9746 (2020) - Carlo Baldassi, Fabrizio Pittorino, Riccardo Zecchina:
Shaping the learning landscape in neural networks around wide flat minima. Proc. Natl. Acad. Sci. USA 117(1): 161-170 (2020) - Richard G. Baraniuk, David L. Donoho, Matan Gavish:
The science of deep learning. Proc. Natl. Acad. Sci. USA 117(48): 30029-30032 (2020) - André Barreto, Shaobo Hou, Diana Borsa, David Silver, Doina Precup:
Fast reinforcement learning with generalized policy updates. Proc. Natl. Acad. Sci. USA 117(48): 30079-30087 (2020) - David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the role of individual units in a deep neural network. Proc. Natl. Acad. Sci. USA 117(48): 30071-30078 (2020) - Justin Chu, Hamid Mohamadi, Emre Erhan, Jeffery Tse, Readman Chiu, Sarah Yeo, Inanç Birol:
Mismatch-tolerant, alignment-free sequence classification using multiple spaced seeds and multiindex Bloom filters. Proc. Natl. Acad. Sci. USA 117(29): 16961-16968 (2020) - Aloni Cohen, Kobbi Nissim:
Towards formalizing the GDPR's notion of singling out. Proc. Natl. Acad. Sci. USA 117(15): 8344-8352 (2020) - Giulia Fanti, Nina Holden, Yuval Peres, Gireeja Ranade:
Communication cost of consensus for nodes with limited memory. Proc. Natl. Acad. Sci. USA 117(11): 5624-5630 (2020) - Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, Shai Gordin:
Restoration of fragmentary Babylonian texts using recurrent neural networks. Proc. Natl. Acad. Sci. USA 117(37): 22743-22751 (2020) - Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, Aaron Clauset:
Stacking models for nearly optimal link prediction in complex networks. Proc. Natl. Acad. Sci. USA 117(38): 23393-23400 (2020) - Roger Guimerà:
One model to rule them all in network science? Proc. Natl. Acad. Sci. USA 117(41): 25195-25197 (2020) - David Harel, Assaf Marron, Joseph Sifakis:
Autonomics: In search of a foundation for next-generation autonomous systems. Proc. Natl. Acad. Sci. USA 117(30): 17491-17498 (2020) - Kokil Jaidka, Salvatore Giorgi, H. Andrew Schwartz, Margaret L. Kern, Lyle H. Ungar, Johannes C. Eichstaedt:
Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proc. Natl. Acad. Sci. USA 117(19): 10165-10171 (2020) - Eric Jardine, Andrew M. Lindner, Gareth Owenson:
The potential harms of the Tor anonymity network cluster disproportionately in free countries. Proc. Natl. Acad. Sci. USA 117(50): 31716-31721 (2020) - Jon M. Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein:
Algorithms as discrimination detectors. Proc. Natl. Acad. Sci. USA 117(48): 30096-30100 (2020) - Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel:
Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA 117(14): 7684-7689 (2020) - Zuzanna Kosowska-Stamirowska:
Network effects govern the evolution of maritime trade. Proc. Natl. Acad. Sci. USA 117(23): 12719-12728 (2020) - Sam Kriegman, Douglas Blackiston, Michael Levin, Josh C. Bongard:
A scalable pipeline for designing reconfigurable organisms. Proc. Natl. Acad. Sci. USA 117(4): 1853-1859 (2020) - Maithilee Kunda:
AI, visual imagery, and a case study on the challenges posed by human intelligence tests. Proc. Natl. Acad. Sci. USA 117(47): 29390-29397 (2020) - Shinjini Kundu, Beth G. Ashinsky, Mustapha Bouhrara, Erik B. Dam, Shadpour Demehri, Mohammad Shifat-E.-Rabbi, Richard G. Spencer, Kenneth L. Urish, Gustavo K. Rohde:
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning. Proc. Natl. Acad. Sci. USA 117(40): 24709-24719 (2020) - Andrew K. Lampinen, James L. McClelland:
Transforming task representations to perform novel tasks. Proc. Natl. Acad. Sci. USA 117(52): 32970-32981 (2020) - Adam Mann:
Core Concept: Nascent exascale supercomputers offer promise, present challenges. Proc. Natl. Acad. Sci. USA 117(37): 22623-22625 (2020) - Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy:
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117(48): 30046-30054 (2020) - Sophie Nightingale, Hany Farid:
Assessing the reliability of a clothing-based forensic identification. Proc. Natl. Acad. Sci. USA 117(10): 5176-5183 (2020) - Stephen Ornes:
Science and Culture: How a conference focused on algorithms balances serious math with computational whimsy. Proc. Natl. Acad. Sci. USA 117(2): 793-795 (2020) - Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler:
Overparameterized neural networks implement associative memory. Proc. Natl. Acad. Sci. USA 117(44): 27162-27170 (2020) - Iyad Rahwan, Jacob W. Crandall, Jean-François Bonnefon:
Intelligent machines as social catalysts. Proc. Natl. Acad. Sci. USA 117(14): 7555-7557 (2020) - Hannes Rapp, Martin Paul Nawrot:
A spiking neural program for sensorimotor control during foraging in flying insects. Proc. Natl. Acad. Sci. USA 117(45): 28412-28421 (2020) - Terrence J. Sejnowski:
The unreasonable effectiveness of deep learning in artificial intelligence. Proc. Natl. Acad. Sci. USA 117(48): 30033-30038 (2020)
