- Ourania Semelidou
, Efthimios M. C. Skoulakis:
One size does not fit all in Drosophila olfactory habituation. Proc. Natl. Acad. Sci. USA 117(34): 20372 (2020) - C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel:
The impossibility of low-rank representations for triangle-rich complex networks. Proc. Natl. Acad. Sci. USA 117(11): 5631-5637 (2020) - Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Habituation as a neural algorithm for online odor discrimination. Proc. Natl. Acad. Sci. USA 117(22): 12402-12410 (2020) - Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Reply to Semelidou and Skoulakis: "Short-term" habituation has multiple distinct mechanisms. Proc. Natl. Acad. Sci. USA 117(34): 20373-20374 (2020) - Margaret Traeger, Sarah Strohkorb Sebo, Malte F. Jung, Brian Scassellati, Nicholas A. Christakis:
Vulnerable robots positively shape human conversational dynamics in a human-robot team. Proc. Natl. Acad. Sci. USA 117(12): 6370-6375 (2020) - Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch:
Physics successfully implements Lagrange multiplier optimization. Proc. Natl. Acad. Sci. USA 117(43): 26639-26650 (2020) - Davide Valeriani, Kristina Simonyan:
A microstructural neural network biomarker for dystonia diagnosis identified by a DystoniaNet deep learning platform. Proc. Natl. Acad. Sci. USA 117(42): 26398-26405 (2020) - 2019
- Dimitris Bertsimas, Arthur Delarue, Sébastien Martin:
Optimizing schools' start time and bus routes. Proc. Natl. Acad. Sci. USA 116(13): 5943-5948 (2019) - Simina Brânzei, Yuval Peres:
Online learning with an almost perfect expert. Proc. Natl. Acad. Sci. USA 116(13): 5949-5954 (2019) - Sara Diamond:
Addressing the imagination gap through STEAMM+D and indigenous knowledge. Proc. Natl. Acad. Sci. USA 116(6): 1851-1856 (2019) - Jeffrey Heer:
Agency plus automation: Designing artificial intelligence into interactive systems. Proc. Natl. Acad. Sci. USA 116(6): 1844-1850 (2019) - Gal Katzhendler, Daphna Weinshall:
Potential upside of high initial visual acuity? Proc. Natl. Acad. Sci. USA 116(38): 18765-18766 (2019) - Minkyoung Kim, Dean Paini, Raja Jurdak:
Modeling stochastic processes in disease spread across a heterogeneous social system. Proc. Natl. Acad. Sci. USA 116(2): 401-406 (2019) - Aniket Kittur, Lixiu Yu, Tom Hope, Joel Chan, Hila Lifshitz-Assaf, Karni Gilon, Felicia Y. Ng, Robert E. Kraut, Dafna Shahaf:
Scaling up analogical innovation with crowds and AI. Proc. Natl. Acad. Sci. USA 116(6): 1870-1877 (2019) - Dmitry Krotov, John J. Hopfield:
Unsupervised learning by competing hidden units. Proc. Natl. Acad. Sci. USA 116(16): 7723-7731 (2019) - Francesca Melozzi, Eyal Bergmann, Julie A. Harris, Itamar Kahn, Viktor K. Jirsa, Christophe Bernard:
Individual structural features constrain the mouse functional connectome. Proc. Natl. Acad. Sci. USA 116(52): 26961-26969 (2019) - Stephen Ornes:
Science and Culture: Computers take art in new directions, challenging the meaning of "creativity". Proc. Natl. Acad. Sci. USA 116(11): 4760-4763 (2019) - Stephen Ornes:
Core Concept: Blockchain offers applications well beyond Bitcoin but faces its own limitations. Proc. Natl. Acad. Sci. USA 116(42): 20800-20803 (2019) - Dale Purves:
Opinion: What does AI's success playing complex board games tell brain scientists? Proc. Natl. Acad. Sci. USA 116(30): 14785-14787 (2019) - Donald Ruggiero Lo Sardo, Stefan Thurner, Johannes Sorger, Georg Duftschmid, Gottfried Endel, Peter Klimek:
Quantification of the resilience of primary care networks by stress testing the health care system. Proc. Natl. Acad. Sci. USA 116(48): 23930-23935 (2019) - Wilko Schwarting, Alyssa Pierson, Javier Alonso-Mora, Sertac Karaman, Daniela Rus:
Social behavior for autonomous vehicles. Proc. Natl. Acad. Sci. USA 116(50): 24972-24978 (2019) - Laura Trouille, Chris J. Lintott, Lucy Fortson:
Citizen science frontiers: Efficiency, engagement, and serendipitous discovery with human-machine systems. Proc. Natl. Acad. Sci. USA 116(6): 1902-1909 (2019) - Lukas Vogelsang, Sharon Gilad-Gutnick, Sidney Diamond, Albert Yonas, Pawan Sinha:
Response to Katzhendler and Weinshall: Initial visual degradation during development may be adaptive. Proc. Natl. Acad. Sci. USA 116(38): 18767-18768 (2019) - M. Mitchell Waldrop:
News Feature: What are the limits of deep learning? Proc. Natl. Acad. Sci. USA 116(4): 1074-1077 (2019) - Zachary Wu, S. B. Jennifer Kan, Russell D. Lewis, Bruce J. Wittmann, Frances H. Arnold:
Machine learning-assisted directed protein evolution with combinatorial libraries. Proc. Natl. Acad. Sci. USA 116(18): 8852-8858 (2019) - Ye Yuan, Ziv Bar-Joseph:
Deep learning for inferring gene relationships from single-cell expression data. Proc. Natl. Acad. Sci. USA 116(52): 27151-27158 (2019) - 2018
- Daniel H. Adler, Laura E. M. Wisse, Ranjit Ittyerah, John Pluta, Song-Lin Ding, Long Xie, Jiancong Wang, Salmon Kadivar, John L. Robinson, Theresa Schuck, John Q. Trojanowski, Murray Grossman, John A. Detre, Mark A. Elliott, Jon B. Toledo, Weixia Liu, Stephen Pickup, Michael I. Miller, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich:
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology. Proc. Natl. Acad. Sci. USA 115(16): 4252-4257 (2018) - Yossi Azar, Eric Horvitz, Eyal Lubetzky, Yuval Peres, Dafna Shahaf:
Tractable near-optimal policies for crawling. Proc. Natl. Acad. Sci. USA 115(32): 8099-8103 (2018) - Carlo Baldassi, Riccardo Zecchina:
Efficiency of quantum vs. classical annealing in nonconvex learning problems. Proc. Natl. Acad. Sci. USA 115(7): 1457-1462 (2018) - Carolyn Beans:
Science and Culture: Sentient architecture promises insight into our evolving relationship with AI. Proc. Natl. Acad. Sci. USA 115(30): 7638-7640 (2018)
