Susanne Still, PhD
Affiliations: | Information and Computer Sciences Information and Computer Sciences | University of Hawaii, Honolulu, HI, United States |
Area:
Information Theory, Machine LearningWebsite:
http://www2.hawaii.edu/~sstill/Google:
"Susanne Still"Mean distance: 14.66 (cluster 17) | S | N | B | C | P |
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 |