Fabrizio Musacchio · @pixeltracker
338 followers · 223 posts · Server sigmoid.social

The distance (), sliced Wasserstein distance (), and the are common used to quantify the ‘distance’ between two distributions. This tutorial compares these three metrics and discusses their advantages and disadvantages.

🌎 fabriziomusacchio.com/blog/202

#wasserstein #emd #swd #l2norm #metrics #OptimalTransport #machinelearning

Last updated 1 year ago

Fabrizio Musacchio · @pixeltracker
338 followers · 223 posts · Server sigmoid.social

This tutorial takes a different approach to explain the distance () by approximating the with cumulative distribution functions (), providing a more intuitive understanding of the metric.

🌎 fabriziomusacchio.com/blog/202

#wasserstein #emd #cdf #OptimalTransport

Last updated 1 year ago

Fabrizio Musacchio · @pixeltracker
331 followers · 219 posts · Server sigmoid.social

Calculating the distance () 📈 can be computational costly when using . The algorithm provides a computationally efficient method for approximating the EMD, making it a practical choice for many applications, especially for large datasets 💫. Here is another tutorial, showing how to solve problem using the Sinkhorn algorithm in 🐍

🌎 fabriziomusacchio.com/blog/202

#wasserstein #emd #linearprogramming #sinkhorn #OptimalTransport #Python

Last updated 1 year ago

Fabrizio Musacchio · @pixeltracker
321 followers · 215 posts · Server sigmoid.social

The distance 📐, aka Earth Mover’s Distance (), provides a robust and insightful approach for comparing 📊. I’ve composed a tutorial 🐍 that explains the problem required to calculate EMD. It also shows how to solve the OT problem and calculate the EMD using the Python Optimal Transport (POT) library. Feel free to use and share it 🤗

🌎 fabriziomusacchio.com/blog/202

#wasserstein #emd #probabilitydistributions #Python #OptimalTransport

Last updated 1 year ago

MT Group at FBK · @fbk_mt
5 followers · 2 posts · Server sigmoid.social

Our Pick of the week: Phuong-Hang Le et al., "Pre-training for Speech Translation: CTC Meets Optimal Transport"
by @mgaido91

:arxiv: arxiv.org/abs/2301.11716

#nlproc #OptimalTransport #ctc #speechtranslation

Last updated 2 years ago

Miranda Lynch · @MirandaLynchPhD
181 followers · 20 posts · Server mathstodon.xyz

Hi! , now that Ive just shifted servers.
I'm a quantitative scientist working on problems in structural biology and image analysis. I deeply love data! Thus, I straddle math modeling, image analysis, computational methods, and statistics (esp Bayesian). I view myself as an applied mathematician with an inordinate fondness for actual data +craving for good applications.



#hivresearch #ImageAnalysis #appliedmath #OptimalTransport #metalloproteins #structuralbiology #compchem #mathbio #introduction

Last updated 2 years ago

Charlotte Bunne · @bunnech
128 followers · 9 posts · Server sigmoid.social

Excited about neural methods for modeling perturbation responses but wondering how to integrate cell birth and death? Frederike Lübeck has the answer for you in the workshop @NeuripsConf! Join us in rooms 388 - 390.

Joint work with Frederike Lübeck, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez Melis, and myself.

Paper: arxiv.org/pdf/2209.15621.pdf

#OptimalTransport #singlecell #ai4science

Last updated 2 years ago

Charlotte Bunne · @bunnech
125 followers · 8 posts · Server sigmoid.social

Join me at my poster #1035 in Hall J now to hear about conditional neural with applications in single-cell biology.

#OptimalTransport

Last updated 2 years ago

Marco Fiorucci · @marcofiorucci
0 followers · 1 posts · Server sigmoid.social
Jitse Niesen · @jitseniesen
20 followers · 17 posts · Server mathstodon.xyz

Today I attended an excellent seminar by Yunan Yang (ETH Zürich) titled "Optimal transport for learning chaotic dynamics via invariant measures" in the and series in Manchester.

Many interesting ideas and a lot to unpack, so I can't do it justice, but here is a summary.

#inverseproblems #parameteridentification #dynamicalsystems #OptimalTransport #scientificcomputing #numericalanalysis

Last updated 2 years ago

RTG 2088 · @RTG_2088
14 followers · 18 posts · Server mathstodon.xyz

Klatt, M., Munk, A. & Zemel, Y. Limit laws for empirical optimal solutions in random linear programs. Ann Oper Res 315, 251–278 (2022).

doi.org/10.1007/s10479-022-046

#mathematics #linearprogramming #OptimalTransport #limitlaw #ScientificArticle #article

Last updated 2 years ago

RTG 2088 · @RTG_2088
13 followers · 14 posts · Server mathstodon.xyz

Hundrieser, S., Klatt, M., Munk, A. (2022). The Statistics of Circular Optimal Transport. In: SenGupta, A., Arnold, B.C. (eds) Directional Statistics for Innovative Applications. Forum for Interdisciplinary Mathematics. Springer, Singapore.

doi.org/10.1007/978-981-19-104

#InterdisciplinaryMathematics #mathematics #VonMisesDistribution #clt #CentralLimitTheorem #OptimalTransport #ScientificArticle #article

Last updated 2 years ago