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Preview of Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
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Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks (2106.00774.pdf)

5.64 MBEN 32 pages
Gradient flows are used to optimize functionals in probability spaces with the Wasserstein metric. A typical approach involves the Jordan-Kinderlehrer-Otto scheme, but this is challenging in high dimensions. We propose using input-convex neural networks to approximate the scheme.
Preview of SDA Assessment Criteria
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SDA Assessment Criteria (Planning Assessment Report_Attachment 10_SDA Wide Assessment Criteria.pdf)

241 KBMegan BenhamEN 10 pages
The proposed development at Bromelton North Quarry complies with the SDA Wide Assessment Criteria, including services, transport, character, and emissions.
Preview of RÉSULTATS
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RÉSULTATS (JNA-23-09-2017-rsultats.pdf)

150 KBPASCALEFR 2 pages
Résultats de la Journée Nationale de l’Arbitrage du Comité Départemental d’Escrime des Hauts-de-Seine du 23 septembre 2017 : Résultats régional Epée : -...
Preview of **Attendee List for Geospatial Event**
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**Attendee List for Geospatial Event** (State_of_the_Map_2018_attendees.pdf)

357 KBEN 17 pages
- Ben Abelshausen, Itinero, Belgium - Yantisa Akhadi, Indonesia - Andrea Albani, Italy - Brian Alstadt, AIR Worldwide, United States - Rachele Amerini, Italy - Michael Andersen, Denmark - Jennings Anderson, University of Colorado Boulder, United States - Paolo Angelelli, The Qt...

Popular Keywords

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