#optimaltransport search results
I found an amazingly simple algorithm (70 lines of C++) that computes really good approximations to the optimal assignment problem in O(n*log(n)) time and O(n) memory. It allows to compute color transfers in seconds. I'm just amazed by the results😍 #optimaltransport
Receiving the #FieldsMedal 2018 is not only a recognition for my work, but for my whole research community, says Alessio Figalli. #optimalTransport
Join me at my poster #1035 in Hall J now to hear about conditional neural #optimaltransport with applications in single-cell biology.
Jong Chul Ye @kaistmath 📙"Geometry of Deep Learning: A Signal Processing Perspective" Hardcover 330 pages, Springer (2022) #Optimaltransport #GeometryofDeepNeuralNetworks #DataScience 🔗link.springer.com/book/10.1007/9…
Testing my #optimaltransport fluidsim code on myself (or checking e-mail and updating my TODO list): unconditionally stable implicit timestepping, works with high viscosity. Coming next: \mu \nabla \cdot ( \nabla + \nabla^t ) V (to have buckling)
Excited to see @chrs_bock presenting our Time Series kernel based on optimal transport at @icdm2019 in Beijing. The Wasserstein distance can be used to capture similarities between time series and leads to strong classification! #MachineLearning #OptimalTransport #TimeSeries
STORIES SpatioTemporal Omics eneRgIES Learning Waddington epigenetic (+regulon) landscape from multi-time-point Stereo-seq #SpatialTranscriptomics Potential-based Fused Gromov-Wasserstein #OptimalTransport Linear▶️gene expression error Quadratic▶️spatial consistency @gjhuizing…
Look at the sunrise, do math, fall, smile, fall again and breath at the twilight…what a week! #optimaltransport
We introduce GeONet, a mesh-invariant deep neural operator for learning the Wasserstein geodesic connecting input pair of initial and terminal distributions. arxiv.org/abs/2209.14440 #NeuralOperator #OptimalTransport
Multiomics single-cell optimal transport moscot.spatiotemporal An #OptimalTransport-based common coordinate framework to map & align #SpatialTranscriptomics with single-cell/-nucleus omics data scalable for millions of cells across multiple time points vs Tangram gimVI…
how ChatGPT almost bluffed me ;) -to my knowledge Sinkhorn-Knopp's algorithm is Sinkhorn algorithm -the code it gives produces the identity transport plan as soon as the masses are the same *regardless* of the transport cost. It's wrong. #optimaltransport #ChatGPT [1/2]
Today's lecture was a challenging one, though one of my favorite topics: #optimaltransport. Has some nice applications in bioinformatics including cell tracking and constructing epigenetic landscapes.
PASTE2 Partial alignment (based on a subset of spots) of multi-slice #SpatialTranscriptomics 3D reconstruction of 16-slide Stereo-seq Drosophila embryo Partial fused Gromov-Wasserstein #OptimalTransport vs PASTE Pamona Tangram Alignment evaluated with Label Transfer…
Facundo Mémoli giving a great talk at the Optimal Transport workshop at #NeurIPS #NeurIPS2019. The slides are just gorgeous and the content is great! #OptimalTransport
Our paper on the in-situ comparison of simulations with #TopologicalDataAnalysis and #OptimalTransport received the best paper award at IEEE #LDAV 2019! Available in the #TopologyToolKit! Congrats to Maxime, Martin, Gilles, Melanie & Bruno #ieeevis #visualization #datascience
New illustration of the Computational Optimal Transport book! I implemented the log-domain Sinkhorn algorithm to observe the influence of the entropy regulariser ε on the coupling π! Made with @MakiePlots in #julialang. #optimaltransport
Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport 👥 Viktor Nevelius Wernholm, Alfred Wärnsäter & Axel Ringh #AIResearch #MachineLearning #OptimalTransport #MultipleTargetTracking #TGOSPA 🔗 trendtoknow.ai
Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport 👥 Viktor Nevelius Wernholm, Alfred Wärnsäter & Axel Ringh #AIResearch #MachineLearning #OptimalTransport #MultipleTargetTracking #TGOSPA 🔗 trendtoknow.ai
Fast computation of the TGOSPA metric for multiple target tracking via unbalanced optimal transport 👥 Viktor Nevelius Wernholm, Alfred Wärnsäter & Axel Ringh #AIResearch #MachineLearning #OptimalTransport #MultipleTargetTracking #TGOSPA 🔗 trendtoknow.ai
sc4D jointly models cellular state, organization, and disease progression via autoencoder embeddings and #optimaltransport theory.
1/5) We're extending the PILOT framework! Our new PILOT-GM-VAE is now published in Briefings in Bioinformatics. It combines Gaussian Mixtures + VAEs for more powerful patient-level analysis of single-cell atlases. doi.org/10.1093/bib/bb… #SingleCellAtlas #VAE #OptimalTransport
We’re excited to welcome YoonHaeng Hur, Postdoc in Statistics and @ZuckermanBrain, to the IICD community! In @Genevera_Allen group, YoonHaeng develops mathematical and statistical foundations for #datascience, focusing on #optimaltransport and cellular dynamics.
A look back at our small gathering at ICSP 2025+ some talk slides👉 sites.google.com/view/icsp2025i… Speakers: • Taiji Suzuki • Austin Stromme • Thomas Möllenhoff • Ya-Ping Hsieh • Young-Heon Kim • Jia-Jie Zhu #ICSP2025 #Optimization #OptimalTransport
Today, I arrived in Naples for the MSML'25 conference (sites.google.com/view/msml2025/…). I am excited about the talks on #transformers, flow matching, #OptimalTransport and regularized f-divergences, and glad to have the opportunity to present a poster about our work on accelerated SVGD!
From Sobol to Sinkhorn: A Transport Revolution in Sensitivity Analysis cognaptus.com/blog/2025-07-2… #optimaltransport #sensitivityanalysis #uncertaintyquantification #R #machinelearning #simulationmodels
cognaptus.com
From Sobol to Sinkhorn: A Transport Revolution in Sensitivity Analysis
How Optimal Transport unlocks sensitivity analysis for multivariate, correlated, and model-agnostic settings in the new R package gsaot.
STORIES SpatioTemporal Omics eneRgIES Learning Waddington epigenetic (+regulon) landscape from multi-time-point Stereo-seq #SpatialTranscriptomics Potential-based Fused Gromov-Wasserstein #OptimalTransport Linear▶️gene expression error Quadratic▶️spatial consistency @gjhuizing…
SIMO Integration of multimodal single-cell omics (incld SNARE-seq ISSAAC-seq) with #SpatialTranscriptomics Modality-specific kNN + fused Gromov-Wasserstein #OptimalTransport vs CARD LIGER Scanorama Seurat Tangram Spatial ATAC-RNAseq Spatial CUT&TAG-RNAseq Re-analysis of…
[7/N] 🚀 [Paper] openreview.net/forum?id=AnL6B… 🚀 [Code] github.com/UIUCTML/OTCPCC 🚀 [Video] iclr.cc/virtual/2025/p… #ICLR2025 #MachineLearning #OptimalTransport [N/N]
🔗 cimpa.info/fr/node/7417 #OptimalTransport #DataScience #MoleculeGeneration #Graphs #PDEs #Optimization #CIMPA
Semi-Discrete Optimal Transport for Long-Tailed Classification jcst.ict.ac.cn/article/doi/10… #SemiDiscrete #OptimalTransport #LongTailed #classification #JCST #Dalian_University_of_Technology @Huawei @HUAWEI_TECH4ALL @stonybrooku
Multiomics single-cell optimal transport moscot.spatiotemporal An #OptimalTransport-based common coordinate framework to map & align #SpatialTranscriptomics with single-cell/-nucleus omics data scalable for millions of cells across multiple time points vs Tangram gimVI…
PASTE2 Partial alignment (based on a subset of spots) of multi-slice #SpatialTranscriptomics 3D reconstruction of 16-slide Stereo-seq Drosophila embryo Partial fused Gromov-Wasserstein #OptimalTransport vs PASTE Pamona Tangram Alignment evaluated with Label Transfer…
🤯 STSW makes Optimal Transport on spheres *fast*! Closed-form solutions unlock new possibilities in analyzing spherical data. Think climate modeling, astrophysics, and more! Check out the paper! #AI #OptimalTransport arxiv.org/abs/2503.11249
Jong Chul Ye @kaistmath 📙"Geometry of Deep Learning: A Signal Processing Perspective" Hardcover 330 pages, Springer (2022) #Optimaltransport #GeometryofDeepNeuralNetworks #DataScience 🔗link.springer.com/book/10.1007/9…
I found an amazingly simple algorithm (70 lines of C++) that computes really good approximations to the optimal assignment problem in O(n*log(n)) time and O(n) memory. It allows to compute color transfers in seconds. I'm just amazed by the results😍 #optimaltransport
Check out #TakagiLectures articles No.1 - No.60 (2007-2020) here bit.ly/2zm2LXU e.g. No.41 is Cédric Villani @InHenriPoincare "Synthetic theory of Ricci curvature bounds" #riccicurvature #optimaltransport #informationgeometry #freearticle #fieldsmedal #villani
Join me at my poster #1035 in Hall J now to hear about conditional neural #optimaltransport with applications in single-cell biology.
Testing my #optimaltransport fluidsim code on myself (or checking e-mail and updating my TODO list): unconditionally stable implicit timestepping, works with high viscosity. Coming next: \mu \nabla \cdot ( \nabla + \nabla^t ) V (to have buckling)
STORIES SpatioTemporal Omics eneRgIES Learning Waddington epigenetic (+regulon) landscape from multi-time-point Stereo-seq #SpatialTranscriptomics Potential-based Fused Gromov-Wasserstein #OptimalTransport Linear▶️gene expression error Quadratic▶️spatial consistency @gjhuizing…
Check out #TakagiLectures articles No.1 - No.60 (2007-2020) here bit.ly/2zm2LXU e.g. No.41 is Cédric Villani rdcu.be/b3Ief "Synthetic theory of Ricci curvature bounds" #riccicurvature #optimaltransport #informationgeometry #freearticle #fieldsmedal #villani
Multiomics single-cell optimal transport moscot.spatiotemporal An #OptimalTransport-based common coordinate framework to map & align #SpatialTranscriptomics with single-cell/-nucleus omics data scalable for millions of cells across multiple time points vs Tangram gimVI…
PASTE2 Partial alignment (based on a subset of spots) of multi-slice #SpatialTranscriptomics 3D reconstruction of 16-slide Stereo-seq Drosophila embryo Partial fused Gromov-Wasserstein #OptimalTransport vs PASTE Pamona Tangram Alignment evaluated with Label Transfer…
SIMO Integration of multimodal single-cell omics (incld SNARE-seq ISSAAC-seq) with #SpatialTranscriptomics Modality-specific kNN + fused Gromov-Wasserstein #OptimalTransport vs CARD LIGER Scanorama Seurat Tangram Spatial ATAC-RNAseq Spatial CUT&TAG-RNAseq Re-analysis of…
We introduce GeONet, a mesh-invariant deep neural operator for learning the Wasserstein geodesic connecting input pair of initial and terminal distributions. arxiv.org/abs/2209.14440 #NeuralOperator #OptimalTransport
Excited to see @chrs_bock presenting our Time Series kernel based on optimal transport at @icdm2019 in Beijing. The Wasserstein distance can be used to capture similarities between time series and leads to strong classification! #MachineLearning #OptimalTransport #TimeSeries
Shun-ichi Amari's newest article with Takashi Kurose & Shintaro Yoshizawa from #InformationGeometry: 'Optimal transportation plans with escort entropy regularization' is now available, and free to read for a limited time. #Optimaltransport go.sn.pub/n4j9uY
What can a math technique from the 18th century teach us about #developmentalbiology? Find out in this story & video: #oldmathnewtricks #optimaltransport broadinstitute.org/node/449611/
how ChatGPT almost bluffed me ;) -to my knowledge Sinkhorn-Knopp's algorithm is Sinkhorn algorithm -the code it gives produces the identity transport plan as soon as the masses are the same *regardless* of the transport cost. It's wrong. #optimaltransport #ChatGPT [1/2]
Plouf ! [Gallouet-Merigot] fluids + unbalanced #OptimalTransport implemented in #geogram. Just Newton + incompressibility. Surf.Tens. needed
New illustration of the Computational Optimal Transport book! I implemented the log-domain Sinkhorn algorithm to observe the influence of the entropy regulariser ε on the coupling π! Made with @MakiePlots in #julialang. #optimaltransport
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