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ORCIDProceedings of the National Academy of Sciences of the USA, Volume 118
Volume 118, Number 3, January 2021
- Chengxu Zhuang
, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins:
Unsupervised neural network models of the ventral visual stream. e2014196118
Volume 118, Number 4, January 2021
- Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin:
Automatic detection of influential actors in disinformation networks. e2011216118
Volume 118, Number 9, March 2021
- Matteo Cinelli, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, Michele Starnini:
The echo chamber effect on social media. e2023301118 - Yu Feng, Yuhai Tu:
The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima. e2015617118
Volume 118, Number 11, March 2021
- Sandra González-Bailón, Manlio De Domenico:
Bots are less central than verified accounts during contentious political events. e2013443118 - Frank W. Roemer, Ali Guermazi:
Biochemical cartilage changes based on MRI-defined T2 relaxation times do not equal OA detection. e2023833118 - 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:
Reply to Roemer and Guermazi: Early biochemical changes on MRI can predict risk of symptomatic progression. e2024679118
Volume 118, Number 13, March 2021
- Boyeong Hong, Bartosz J. Bonczak, Arpit Gupta, Lorna E. Thorpe, Constantine E. Kontokosta:
Exposure density and neighborhood disparities in COVID-19 infection risk. e2021258118
Volume 118, Number 15, April 2021
- Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus:
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. e2016239118
Volume 118, Number 17, April 2021
- Jihyeon Janel Lee, Nina R. Brooks, Fahim Tajwar, Marshall Burke, Stefano Ermon, David B. Lobell, Debashish Biswas, Stephen P. Luby:
Scalable deep learning to identify brick kilns and aid regulatory capacity. e2018863118
Volume 118, Number 19, May 2021
- Nika Haghtalab, Matthew O. Jackson, Ariel D. Procaccia:
Belief polarization in a complex world: A learning theory perspective. e2010144118
Volume 118, Number 20, May 2021
- Joseph Masison, Jonathan Beezley, Yu Mei, Henrique Assis Lopes Ribeiro, Adam C. Knapp, Luis Sordo Vieira, Bandita Adhikari, Yogesh Scindia, Michael Grauer, Brian Helba, William Schroeder, Borna Mehrad, Reinhard C. Laubenbacher:
A modular computational framework for medical digital twins. e2024287118
Volume 118, Number 22, June 2021
- Jon M. Kleinberg, Manish Raghavan:
Algorithmic monoculture and social welfare. e2018340118
Volume 118, Number 30, July 2021
- Johan Bollen, Marijn ten Thij, Fritz Breithaupt, Alexander T. J. Barron, Lauren A. Rutter, Lorenzo Lorenzo-Luaces, Marten Scheffer:
Historical language records reveal a surge of cognitive distortions in recent decades. e2102061118
Volume 118, Number 35, August 2021
- Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi, Nuno F. Loureiro, Konstantina Trivisa, Andrew M. Childs:
Efficient quantum algorithm for dissipative nonlinear differential equations. e2026805118
Volume 118, Number 38, September 2021
- Robert West, Jure Leskovec, Christopher Potts:
Postmortem memory of public figures in news and social media. e2106152118
Volume 118, Number 39, September 2021
- Wengong Jin, Jonathan M. Stokes, Richard T. Eastman, Zina Itkin, Alexey V. Zakharov, James J. Collins, Tommi S. Jaakkola, Regina Barzilay:
Deep learning identifies synergistic drug combinations for treating COVID-19. e2105070118
Volume 118, Number 43, October 2021
- Lisa Lu, Benjamin Anderson, Raymond Ha, Alexis D'Agostino, Sarah L. Rudman, Derek Ouyang, Daniel E. Ho:
A language-matching model to improve equity and efficiency of COVID-19 contact tracing. e2109443118
Volume 118, Number 45, November 2021
- Benjamin Schmidt, Steven T. Piantadosi, Kyle Mahowald:
Uncontrolled corpus composition drives an apparent surge in cognitive distortions. e2115010118 - Johan Bollen, Marijn ten Thij, Fritz Breithaupt, Alexander T. J. Barron, Lauren A. Rutter, Lorenzo Lorenzo-Luaces, Marten Scheffer:
Reply to Schmidt et al.: A robust surge of cognitive distortions in historical language. e2115842118
Volume 118, Number 46, November 2021
- Núria López, Luigi Del Debbio, Marc Baaden, Matej Praprotnik, Laura Grigori, Catarina Simões, Serge Bogaerts, Florian Berberich, Thomas Lippert, Janne Ignatius, Philippe Lavocat, Oriol Pineda, Maria Grazia Giuffreda, Sergi Girona, Dieter Kranzlmüller, Michael M. Resch, Gabriella Scipione, Thomas C. Schulthess:
Lessons learned from urgent computing in Europe: Tackling the COVID-19 pandemic. e2024891118
Volume 118, Number 48, November 2021
- Sam Gelman, Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter:
Neural networks to learn protein sequence-function relationships from deep mutational scanning data. e2104878118
Volume 118, Number 49, December 2021
- Chen Qiao, Yuanhua Huang:
Representation learning of RNA velocity reveals robust cell transitions. e2105859118
Volume 118, Number 50, December 2021
- Fernando P. Santos, Yphtach Lelkes, Simon A. Levin:
Link recommendation algorithms and dynamics of polarization in online social networks. e2102141118 - Michael W. Macy, Manqing Ma, Daniel R. Tabin, Jianxi Gao, Boleslaw K. Szymanski:
Polarization and tipping points. e2102144118
Volume 118, Number 51, December 2021
- Roni Rosenfeld, Ryan J. Tibshirani:
Epidemic tracking and forecasting: Lessons learned from a tumultuous year. e2111456118
Volume 118, Number 52, December 2021
- Sizhen Li, He Zhang, Liang Zhang, Kaibo Liu, Boxiang Liu, David H. Mathews, Liang Huang:
LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2. e2116269118
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