Johannes Rauh - RankMe

50 papers B 5Journal 40Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Continuity and additivity properties of information decompositions. Int. J. Approx. Reason. Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Guido Montúfar, Jürgen Jost
2022	J	`jnl`	Continuity and Additivity Properties of Information Decompositions. CoRR Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Guido Montúfar, Jürgen Jost
2021	J	`jnl`	Properties of unique information. Kybernetika Johannes Rauh, Maik Schünemann, Jürgen Jost
2020	J	`jnl`	A note on the approximation of Shenoy's expectation operator using probabilistic transforms. Int. J. Gen. Syst. Radim Jirousek, Václav Kratochvíl, Johannes Rauh
2020	J	`jnl`	Conditional independence ideals with hidden variables. Adv. Appl. Math. Oliver Clarke, Fatemeh Mohammadi, Johannes Rauh
2020	J	`jnl`	Maximizing the Bregman divergence from a Bregman family. CoRR Johannes Rauh, Frantisek Matús
2020	J	`jnl`	Maximizing the Bregman divergence from a Bregman family. Kybernetika Johannes Rauh
2019	J	`jnl`	Properties of Unique Information. CoRR Johannes Rauh, Maik Schünemann
2019	B	`conf`	Unique Information and Secret Key Decompositions. ISIT Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost
2019	J	`jnl`	Unique Information and Secret Key Decompositions. CoRR Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost
2018	B	`conf`	Computing the Unique Information. ISIT Pradeep Kr. Banerjee, Johannes Rauh, Guido Montúfar
2018	—	`conf`	Unique Informations and Deficiencies. Allerton Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Johannes Rauh
2018	J	`jnl`	Unique Informations and Deficiencies. CoRR Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Johannes Rauh
2017	J	`jnl`	Coarse-Graining and the Blackwell Order. Entropy Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert
2017	J	`jnl`	Coarse-graining and the Blackwell order. CoRR Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert
2017	J	`jnl`	Computing the Unique Information. CoRR Pradeep Kr. Banerjee, Johannes Rauh, Guido Montúfar
2017	—	`conf`	Geometry of Policy Improvement. GSI Guido Montúfar, Johannes Rauh
2017	J	`jnl`	Geometry of Policy Improvement. CoRR Guido Montúfar, Johannes Rauh
2017	J	`jnl`	Hierarchical models as marginals of hierarchical models. Int. J. Approx. Reason. Guido Montúfar, Johannes Rauh
2017	J	`jnl`	On Extractable Shared Information. Entropy Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger
2017	J	`jnl`	On extractable shared information. CoRR Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger
2017	J	`jnl`	On the Number of Non-Zero Elements of Joint Degree Vectors. Electron. J. Comb. Éva Czabarka, Johannes Rauh, Kayvan Sadeghi, Taylor Short, László A. Székely
2017	J	`jnl`	Secret Sharing and Shared Information. CoRR Johannes Rauh
2017	J	`jnl`	Secret Sharing and Shared Information. Entropy Johannes Rauh
2017	J	`jnl`	The Polytope of k-Star Densities. Electron. J. Comb. Johannes Rauh
2016	J	`jnl`	Lifting Markov bases and higher codimension toric fiber products. J. Symb. Comput. Johannes Rauh, Seth Sullivant
2015	J	`jnl`	Hierarchical Models as Marginals of Hierarchical Models. CoRR Guido Montúfar, Johannes Rauh
2015	J	`jnl`	Information Decomposition and Synergy. Entropy Eckehard Olbrich, Nils Bertschinger, Johannes Rauh
2015	—	`conf`	Quantifying Morphological Computation based on an Information Decomposition of the Sensorimotor Loop. ECAL Keyan Ghazi-Zahedi, Johannes Rauh
2015	J	`jnl`	Quantifying Morphological Computation based on an Information Decomposition of the Sensorimotor Loop. CoRR Keyan Ghazi-Zahedi, Johannes Rauh
2014	J	`jnl`	On the Fisher Metric of Conditional Probability Polytopes. Entropy Guido Montúfar, Johannes Rauh, Nihat Ay
2014	J	`jnl`	Quantifying Unique Information. Entropy Nils Bertschinger, Johannes Rauh, Eckehard Olbrich, Jürgen Jost, Nihat Ay
2014	B	`conf`	Reconsidering unique information: Towards a multivariate information decomposition. ISIT Johannes Rauh, Nils Bertschinger, Eckehard Olbrich, Jürgen Jost
2014	J	`jnl`	Reconsidering unique information: Towards a multivariate information decomposition. CoRR Johannes Rauh, Nils Bertschinger, Eckehard Olbrich, Jürgen Jost
2014	J	`jnl`	Robustness, canalyzing functions and systems design. Theory Biosci. Johannes Rauh, Nihat Ay
2014	J	`jnl`	Scaling of model approximation errors and expected entropy distances. Kybernetika Guido F. Montúfar, Johannes Rauh
2014	B	`conf`	The Blackwell relation defines no lattice. ISIT Nils Bertschinger, Johannes Rauh
2014	J	`jnl`	The Blackwell relation defines no lattice. CoRR Nils Bertschinger, Johannes Rauh
2013	J	`jnl`	Generalized binomial edge ideals. Adv. Appl. Math. Johannes Rauh
2013	—	`conf`	Maximal Information Divergence from Statistical Models Defined by Neural Networks. GSI Guido Montúfar, Johannes Rauh, Nihat Ay
2013	J	`jnl`	Optimally approximating exponential families. Kybernetika Johannes Rauh
2013	J	`jnl`	Quantifying unique information. CoRR Nils Bertschinger, Johannes Rauh, Eckehard Olbrich, Jürgen Jost, Nihat Ay
2012	J	`jnl`	Robustness, Canalyzing Functions and Systems Design CoRR Johannes Rauh, Nihat Ay
2012	J	`jnl`	Shared Information -- New Insights and Problems in Decomposing Information in Complex Systems CoRR Nils Bertschinger, Johannes Rauh, Eckehard Olbrich, Jürgen Jost
2011	—	`conf`	Expressive Power and Approximation Errors of Restricted Boltzmann Machines. NIPS Guido Montúfar, Johannes Rauh, Nihat Ay
2011	J	`jnl`	Finding the Maximizers of the Information Divergence From an Exponential Family. IEEE Trans. Inf. Theory Johannes Rauh
2011	B	`conf`	Maximization of the information divergence from an exponential family and criticality. ISIT Frantisek Matús, Johannes Rauh
2011	J	`jnl`	Support sets in exponential families and oriented matroid theory. Int. J. Approx. Reason. Johannes Rauh, Thomas Kahle, Nihat Ay
2010	J	`jnl`	Binomial edge ideals and conditional independence statements. Adv. Appl. Math. Jürgen Herzog, Takayuki Hibi, Freyja Hreinsdóttir, Thomas Kahle, Johannes Rauh
2009	J	`jnl`	Finding the Maximizers of the Information Divergence from an Exponential Family CoRR Johannes Rauh