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Found 5 papers, 2 papers with code
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
We hence establish UOT-FM as a principled method for unpaired image translation.
Entropic (Gromov) Wasserstein Flow Matching with GENOT
Optimal transport (OT) theory has reshaped the field of generative modeling: Combined with neural networks, recent \textit{Neural OT} (N-OT) solvers use OT as an inductive bias, to focus on ``thrifty'' mappings that minimize average displacement costs.
Neural Networks for Chess
The book is split into four main chapters -- excluding chapter 1 (introduction) and chapter 6 (conclusion): Chapter 2 introduces neural networks and covers all the basic building blocks that are used to build deep networks such as those used by AlphaZero.
Convergence, Continuity and Recurrence in Dynamic Epistemic Logic
The paper analyzes dynamic epistemic logic from a topological perspective.
