Talks
Given at Conferences and Meetings
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Dissimilarity for Linear Dynamical Systems,
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Tensor of Quantitative Equational Theories,
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An Algebraic Theory of Markov Processes,
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On the Metric-based Approximate Minimization of Markov Chains,
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Complete Axiomatization for the Total Variation Distance of Markov Chains,
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Complete Axiomatization for the Bisimilarity Distance on Markov Chains,
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Converging from Branching to Linear Metrics on Markov Chains,
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On the Total Variation Distance of Semi-Markov Chains,
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Finding a Forest in a Tree,
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Computing Behavioral Distances, Compositionally,
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The BisimDist Library,
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On-the-Fly Exact Computation of Bisimilarity Distances,
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Structural Operational Semantics for Continuous State Probabilistic Processes,
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On Decidability of Bigraphical Sortings,
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Measurable Stochastic for Brane Calculus,
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A Bigraph-based Framework for Protein and Cell Interactions,
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Undecidability of Model Checking in Brane Logic,
Informal or Invited
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Quantitative Algebraic Reasoning,
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Two Propositional Logics for the Lawvere Quantale,
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A Coinductive Topology for Reasoning about Markov Processes,
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Quantitative Algebraic Effects: Sum and Tensor,
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On the Metric-based Approximate Minimization of Markov Chains,
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Metric-based State Space Reduction for Markov Chains,
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Complete Axiomatization for the Bisimilarity Distance on Markov Chains,
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Converging from Branching to Linear Metrics for Weighted Transition Systems,
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Converging from Branching to Linear Metrics on Markov Chains,
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On the Total Variation Distance of Semi Markov Chains,
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Finding a Forest in a Tree,
Nov 2014, Breakfast Talks (Aalborg, Denmark)
(slides)
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Computing Behavioral Distances, Compositionally,
Aug 2013, MT-LAB Meeting (Copenhagen, Denmark)
(slides)
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Structural Operational Semantics for Continuous State Probabilistic Processes,
May 2012, Breakfast Talks (Aalborg, Denmark)
(slides)
The slides might contain imprecisions and/or errors that have been consciously introduced
to keeping the content at a reasonable level of simplicity for focusing only on the key ideas.
For a rigorous formal description of the subject one should always refer to the papers.
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