Canada Research Chair and Assistant Professor, University of Ottawa

Email: augustogerolin AT gmail.com

Home-page: https://mysite.science.uottawa.ca/agerolin/

Available papers (21):

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• S. Baasandorj - S. Di Marino - A. Gerolin (preprint)
  $C^{1,α}$-regularity for Schrödinger potentials of Shannon-entropy regularized Optimal Transport (2025)
• A. Gerolin - M. Petrache - A. Vargas-Jimenez (preprint)
  Existence and uniqueness of Monge minimizers for a Multi-marginal Optimal Transport problem with intermolecular interactions cost (2024)
• E. Caputo - A. Gerolin - N. Monina - L. Portinale (preprint)
  Quantum optimal transport with convex regularization (2024)
• S. Di Marino - A. Gerolin - L. Nenna (Accepted Paper: Letters in Mathematical Physics)
  Universal diagonal estimates for minimizers of the Levy-Lieb functional (2023)
• D. Feliciangeli - A. Gerolin - L. Portinale (Journal of Functional Analysis)
  A Non-Commutative Entropic Optimal Transport Approach to Quantum Composite Systems at Positive Temperature (2023)
• A. Gerolin - N. Monina (preprint)
  Non-commutative Optimal Transport for semi-definite positive matrices (2023)
• G. Friesecke - A. Gerolin - P. Gori-Giorgi (Preprint)
  The strong-interaction limit of density functional theory (2022)
• S. Vuckovic - A. Gerolin - Timothy J. Daas - H. Bahmann - G. Friesecke - P. Gori-Giorgi (preprint)
  Density Functionals based on the mathematical structure of the strong-interaction limit of DFT (2022)
• A. Gerolin - J. Grossi - P. Gori-Giorgi (J. Chem. Theory Comput.)
  Kinetic correlation functionals from the entropic regularisation of the strictly-correlated electrons problem (2020)
• A. Gerolin - A. Kausamo - T. Rajala (Calculus of Variations and Partial Differential Equations)
  Multi-marginal Entropy-Transport with repulsive cost (2020)
• C. Finlay - A. Gerolin - Adam M Oberman - A. A. Pooladian (preprint)
  Learning normalizing flows from Entropy-Kantorovich potentials (2020)
• A. Mallasto - A. Gerolin - Hà Quang Minh (preprint)
  Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures (2020)
• S. Di Marino - A. Gerolin (preprint)
  Optimal Transport losses and Sinkhorn algorithm with general convex regularization (2020)
• A. Gerolin - A. Kausamo - T. Rajala (SIAM Journal on Mathematical Analysis)
  Non-existence of optimal transport maps for the multi-marginal repulsive harmonic cost (2019)
• S. Di Marino - A. Gerolin (preprint)
  An Optimal Transport approach for the Schrödinger bridge problem and convergence of Sinkhorn algorithm (2019)
• A. Gerolin - A. Kausamo - T. Rajala (ESAIM: COCV)
  Duality theory for multi-marginal optimal transport with repulsive costs in metric spaces (2019)
• A. Mallasto - G. Montúfar - A. Gerolin (preprint)
  How Well Do WGANs Estimate the Wasserstein Metric? (2019)
• M. Seidl - S. Di Marino - A. Gerolin - L. Nenna - K. Giesbertz - P. Gori-Giorgi (Submitted Paper)
  The strictly-correlated electron functional for spherically symmetric systems revisited (2017)
• S. Di Marino - A. Gerolin - L. Nenna (Topological Optimization and Optimal Transport In the Applied Sciences)
  Optimal transportation theory for repulsive costs (2017)
• G. Lani - S. Di Marino - A. Gerolin - R. van Leeuwen - P. Gori-Giorgi (Physical Chemistry Chemical Physics)
  The adiabatic strictly-correlated-electrons functional: kernel and exact properties (2016)
• G. Buttazzo - A. Gerolin - B. Ruffini - B. Velichkov (J. Éc. polytech. Math.)
  Optimal Potentials for Schrödinger Operators (2013)

Speaker:

• 20 may 2024 - 22 may 2024: 50 Anni di Calcolo delle Variazioni
• 10 jan 2022 - 14 jan 2022: School on The Mathematics of Machine Learning [POSTPONED]

Organizer:

• 1 sep 2024 - 6 sep 2024: Quantum Optimal Transport and Applications
• 5 sep 2022 - 9 sep 2022: Workshop: Optimal Transport, Statistics, Machine Learning and moving in between
• 17 jan 2022 - 21 jan 2022: Workshop on The Mathematics of Machine Learning [POSTPONED]
• 10 jan 2022 - 14 jan 2022: School on The Mathematics of Machine Learning [POSTPONED]
• 31 may 2017 - 7 jun 2017: Workshop: Optimal Transport meets Density Functional Theory