Susanne Still, PhD

Affiliations: 
Information and Computer Sciences Information and Computer Sciences University of Hawaii, Honolulu, HI, United States 
Area:
Information Theory, Machine Learning
Website:
http://www2.hawaii.edu/~sstill/
Google:
"Susanne Still"
Mean distance: 14.66 (cluster 17)
 
SNBCP
Cross-listing: MathTree

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Publications

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Still S. (2020) Thermodynamic Cost and Benefit of Memory. Physical Review Letters. 124: 050601
Grimsmo AL, Still S. (2016) Quantum predictive filtering Physical Review A. 94
Berman GP, Nesterov AI, Sayre RT, et al. (2016) On improving the performance of nonphotochemical quenching in CP29 light-harvesting antenna complex Physics Letters, Section a: General, Atomic and Solid State Physics. 380: 1279-1283
Still S. (2014) Information bottleneck approach to predictive inference Entropy. 16: 968-989
Still S, Sivak DA, Bell AJ, et al. (2012) Thermodynamics of prediction. Physical Review Letters. 109: 120604
Still S, Precup D. (2012) An information-theoretic approach to curiosity-driven reinforcement learning. Theory in Biosciences = Theorie in Den Biowissenschaften. 131: 139-48
Still S, Crutchfield JP, Ellison CJ. (2010) Optimal causal inference: estimating stored information and approximating causal architecture. Chaos (Woodbury, N.Y.). 20: 037111
Still S. (2009) Information-theoretic approach to interactive learning Epl. 85
Still S, Bialek W. (2004) How many clusters? An information-theoretic perspective. Neural Computation. 16: 2483-506
Still S, Bialek W, Bottou L. (2004) Geometric clustering using the Information Bottleneck method Advances in Neural Information Processing Systems
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