Complexity of modification problems for reciprocal best match graph

Hellmuth, Marc; Manuela Geiss and Peter F. Stadler
2020
Theoretical Computer Science
809
384-393

Observational implications of fuzzball formation

Hertog, Thomas and James Hartle
2020
General Relativity and Gravitation
52
7

Differences in social information are critical to understanding aggressive behavior in animal dominance hierarchies

Hobson, Elizabeth A.
2020
Current Opinion in Psychology
33
209-215

Countries should aim to lower the reproduction number R close to 1.0 for the short-term mitigation of COVID-19 outbreaks

Hochberg, Michael E.
2020

Importance of suppression and mitigation measures in managing COVID-19 outbreaks

Hochberg, Michael E.
2020
medRxiv

The universal pathway to innovative urban economies

Hong, Inho; Morgan R. Frank; Iyad Rahwan; Woo-Sung Jung and Hyejin Youn
2020
Science Advances
6
34

Predicting collapse of adaptive networked systems without knowing the network

Horstmeyer, Leonhard; Tuan Minh Pham; Jan Korbel and Stefan Thurner
2020
Scientific Reports
10

The efficiency of negotiations with uncertainty and multi-dimensional deals

Jackson, Matthew O.; Hugo F. Sonnenschein; Yiqinq Xing; Christis G. Tombazos and Omar Al-Ubaydli
2020
Semantic Scholar

The capacity of the ovarian cancer tumor microenvironment to integrate inflammation signaling conveys a shorter disease-free interval

Jordan, Kimberly R.; Matthew J. Sikora; Jill E. Slansky; Angela Minic; Jennifer K. Richer; Marisa R. Moroney; James B. Costello; Aaron Clauset; Kian Behbakht; T. Rajendra Kumar and Benjamin G. Bitler
2020
bioRxiv

p-Laplace operators for chemical hyper graphs

Jost, Jurgen; Raffaella Mulas and Dong Zhang
2020
arXiv

Dynamic representations in networked neural systems

Ju, Harang and Danielle S. Bassett
2020
Nature Neuroscience
23
908-917

The functional thermodynamics of finite-state Maxwellian ratchets

Jurgens, Alexandra and James P. Crutchfield
2020
arXiv

Functional thermodynamics of Maxwellian Ratchets: Constructing and deconstructing patterns, randomizing and rerandomizing behaviors

Jurgens, Alexandra M. and James P. Crutchfield
2020
arXiv

Shannon entropy rate of Jurgens, Alexandra M. and James P. CrutchfieldHidden Markov processes

Jurgens, Alexandra M. and James P. Crutchfield
2020
arXiv

Functional brain network reconfiguration during learning in a dynamic environment

Kao, Chang-Hao; Ankit N. Khambhati; Danielle S. Bassett; Matthew R. Nassar; Joseph T. McGuire; Joshua I. Gold and Joseph W. Kable
2020
Nature Communications
11
1

A practical guide to methodological considerations in the controllability of structural brain networks

Karrer, Teresa M.; Jason Z. Kim; Jennifer Stiso; Ari E. Kahn; Fabio Pasqualetti; Ute Habel and Danielle S. Bassett
2020
Journal of Neural Engineering
17
2

High-throughput sequencing for community analysis: the promise of DNA barcoding to uncover diversity, relatedness, abundances and interactions in spider communities

Kennedy, Susan R.; Stefan Prost; Isaac Overcast; Andrew J. Rominger; Rosemary G. Gillespie and Henrik Krehenwinkel
2020
Development Genes and Evolution
230
2
185-201

Contact tracing: A game of big numbers in the time of COViD-19

Kim, Hyunju and Ayan Paul
2020
arXiv

Teaching recurrent neural networks to modify chaotic memories by example

Kim, Jason Z.; Zhixin Lu; Erfan Nozari; George J. Pappas and Danielle S. Bassett
2020
arXiv

Causal feature learning for utility-maximizing agents

Kinney, David and David Watson
2020
arXiv