Results 81 to 90 of about 1,379,735 (279)
DiffRayFlow: A Differentiable Freeform Optical Design Engine Based on Discrete Optimal Transport
PhotonicsFreeform surfaces play a critical role in complex light-field modulation. However, traditional geometric mapping and standard optimization methods are limited by computational cost and convergence instability in large-scale ray tracing and complex ...
Liang Wang +4 more
doaj +1 more source
Optimal Transportation Problem by Stochastic Optimal Control [PDF]
SIAM Journal on Control and Optimization, 2008 We address an optimal mass transportation problem by means of optimal stochastic control. We consider a stochastic control problem which is a natural extension of the Monge-Kantorovich problem. Using a vanishing viscosity argument we provide a probabilistic proof of two fundamental results in mass transportation: the Kantorovich duality and the graph ...
Mikami, Toshio, Thieullen, Michele
openaire +3 more sources
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
MathematicsIdentifying critical infrastructure in transportation networks requires metrics that can capture both the topological structure and how demand is redistributed during disruptions.
Iman Seyedi +2 more
doaj +1 more source
Towards optimal running times for optimal transport
Operations Research LettersIn this work, we provide faster algorithms for approximating the optimal transport distance, e.g. earth mover's distance, between two discrete probability distributions $μ, ν\in Δ^n$. Given a cost function $C : [n] \times [n] \to \mathbb{R}_{\geq 0}$ where $C(i,j) \leq 1$ quantifies the penalty of transporting a unit of mass from $i$ to $j$, we show ...
Jose Blanchet +3 more
openaire +2 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
A Survey on Optimal Transport for Machine Learning: Theory and Applications
IEEE AccessOptimal Transport (OT) theory has seen increasing attention from the computer science community due to its potency and relevance in modeling and machine learning (ML).
Luiz Manella Pereira, M. Hadi Amini
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FEBS Letters, EarlyView.This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source
SIDDA: SInkhorn Dynamic Domain Adaptation for image classification with equivariant neural networks
Machine Learning: Science and TechnologyModern neural networks (NNs) often do not generalize well in the presence of a ‘covariate shift’; that is, in situations where the training and test data distributions differ, but the conditional distribution of classification labels given the data ...
Sneh Pandya +4 more
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Introduction to Optimal Transport Theory
, 2009 These notes constitute a sort of Crash Course in Optimal Transport Theory. The different features of the problem of Monge-Kantorovitch are treated, starting from convex duality issues. The main properties of space of probability measures endowed with the
Santambrogio, Filippo
core +2 more sources