# Publications

**[1]**Optimal Transport losses and Sinkhorn algorithm with general convex regularization (2020)

*(with S. Di Marino)*, pre-print

**[2]**Learning normalizing flows from Entropy-Kantorovich potentials (2020)

*(with . Adam M Oberman, C. Finlay, A. Pooladian)*, pre-print

**[3]**Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures (2020)

*(with , . Hà Quang Minh, A. Mallasto)*, pre-print

**[4]**Kinetic correlation functionals from the entropic regularisation of the strictly-correlated electrons problem (2020)

*(with , P. Gori-Giorgi, J. Grossi)*, J. Chem. Theory Comput.

**[5]**Multi-marginal Entropy-Transport with repulsive cost (2020)

*(with , A. Kausamo, T. Rajala)*, Calculus of Variations and Partial Differential Equations

**[6]**How Well Do WGANs Estimate the Wasserstein Metric? (2019)

*(with , A. Mallasto, G. Montúfar)*, pre-print

**[7]**An Optimal Transport approach for the Schrödinger bridge problem and convergence of Sinkhorn algorithm (2019)

*(with S. Di Marino)*, pre-print

**[8]**Non-existence of optimal transport maps for the multi-marginal repulsive harmonic cost (2019)

*(with , A. Kausamo, T. Rajala)*, SIAM Journal on Mathematical Analysis

**[9]**Duality theory for multi-marginal optimal transport with repulsive costs in metric spaces (2019)

*(with , A. Kausamo, T. Rajala)*, ESAIM: COCV

**[10]**The strictly-correlated electron functional for spherically symmetric systems revisited (2017)

*(with S. Di Marino, K. Giesbertz, P. Gori-Giorgi, L. Nenna, M. Seidl)*, pre-print

**[11]**Optimal transportation theory for repulsive costs (2017)

*(with S. Di Marino, L. Nenna)*, Topological Optimization and Optimal Transport In the Applied Sciences

**[12]**The adiabatic strictly-correlated-electrons functional: kernel and exact properties (2016)

*(with S. Di Marino, P. Gori-Giorgi, G. Lani, R. van Leeuwen)*, Physical Chemistry Chemical Physics

**[13]**Optimal Potentials for Schrödinger Operators (2013)

*(with G. Buttazzo, B. Ruffini, B. Velichkov)*, J. Éc. polytech. Math.