Grigorios A. Pavliotis
Cognitive Neuroscience · 2008–2022
A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 31 citations into it
- Statistical and Nonlinear Physics — 31 citations into it
- Artificial Intelligence — 19 citations into it
- Statistics and Probability — 18 citations into it
- Mathematical Physics — 17 citations into it
- Applied Mathematics — 15 citations into it
- Finance — 13 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
Whom Grigorios A. Pavliotis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- N. H. Bingham
- Gareth O. Roberts
- Cédric Villani
- Søren Asmussen
- Leonid Koralov
- Laurent Desvillettes
- D. Bakry
- Jun S. Liu
- Yacine Aït-Sahalia
- Persi Diaconis
Who trusts Grigorios A. Pavliotis overall
- Konstantinos Spiliopoulos
- Alessandro Vespignani
- Charles-Edouard Br'ehier
- Paul C. Bressloff
- Pratik Chaudhari
- Frédéric Legoll
- Jay M. Newby
- David Kelly
- Tony Lelièvre
- Adam M. Oberman
Papers from Grigorios A. Pavliotis's perspective
Ordered by how strongly the researchers Grigorios A. Pavliotis trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory, Inference, and Learning Algorithms
- Topics in Optimal Transportation
- Gradient Flows: In Metric Spaces and in the Space of Probability Measures
- Kinetic equilibration rates for granular media and related equations: entropy dissipation and mass transportation estimates
- THE GEOMETRY OF DISSIPATIVE EVOLUTION EQUATIONS: THE POROUS MEDIUM EQUATION
- An Introduction to Probability Theory and Its Applications
- What is Intrinsic Motivation? A Typology of Computational Approaches
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
- Variational algorithms for approximate Bayesian inference
- Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective
Their papers
- The free energy principle made simpler but not too simple (2022) — 151 citations
- Long-Time Behaviour and Phase Transitions for the Mckean–Vlasov Equation on the Torus (2018) — 170 citations
- Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations (2014) — 688 citations
- Non-Equilibrium Statistical Mechanics (2012) — 143 citations
- Multiscale Methods: Averaging and Homogenization (2008) — 997 citations