Julio D. Backhoff Veraguas

Applied Mathematics · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Applied Mathematics — 35 citations into it; #6,834 of 7,620 by trust here, #4,482 by citations
• Statistics and Probability — 16 citations into it; #11,608 of 12,932 by trust here, #12,077 by citations
• Computational Theory and Mathematics — 13 citations into it
• Artificial Intelligence — 11 citations into it
• Geometry and Topology — 11 citations into it
• Finance — 10 citations into it
• Optimization & Training — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Julio D. Backhoff Veraguas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nathael Gozlan
2. Mathias Beiglbock
3. Cédric Villani
4. Gershon Wolansky
5. Danila Zaev
6. Jérémie Bigot
7. Radford M. Neal
8. Thomas G. Kurtz
9. L. Eon Bottou
10. Marco Cuturi

Who trusts Julio D. Backhoff Veraguas overall

1. Julio Backhoff-Veraguas
2. Daniel Bartl
3. Mathias Beiglbock
4. Sidak Pal Singh
5. Gudmund Pammer

Papers from Julio D. Backhoff Veraguas's perspective

Ordered by how strongly the researchers Julio D. Backhoff Veraguas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Topics in Optimal Transportation
2. Optimal Transport: Old and New
3. Mass transportation problems
4. ImageNet classification with deep convolutional neural networks
5. Gradient Flows: In Metric Spaces and in the Space of Probability Measures
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
10. Barycenters in the Wasserstein Space

Their papers

• Causal optimal transport and its links to enlargement of filtrations and continuous-time stochastic optimization (2016) — 66 citations
• Bayesian Learning with Wasserstein Barycenters (2018) — 40 citations
• Existence, duality, and cyclical monotonicity for weak transport costs (2018) — 104 citations