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Publication search results
found 78 matches
- 2024
- Ruby Wood, Enric Domingo, Viktor Hendrik Koelzer, Timothy S. Maughan, Jens Rittscher:
Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images. CVPR Workshops 2024: 5122-5131 - Roger Domingo-Enrich, Xiuqiang He
, Verena Häberle, Florian Dörfler:
Dynamic Complex-Frequency Control of Grid-Forming Converters. CoRR abs/2404.10071 (2024) - Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos:
Neural Optimal Transport with Lagrangian Costs. CoRR abs/2406.00288 (2024) - Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen:
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. CoRR abs/2409.08861 (2024) - 2023
- Carles Domingo-Enrich, Aram-Alexandre Pooladian:
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow. Trans. Mach. Learn. Res. 2023 (2023) - Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey:
Compress Then Test: Powerful Kernel Testing in Near-linear Time. AISTATS 2023: 1174-1218 - Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh:
Learning with Stochastic Orders. ICLR 2023 - Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen:
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. ICML 2023: 28100-28127 - Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher:
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) 2023: 758-767 - Yassir Benhammou, José Rodríguez-Ortega, Domingo Alcaraz-Segura, Siham Tabik:
AndalUnmixingRGB: A dataset of Sentinel-2 RGB imagery acquired in Andalusia region of Spain, enriched with environmental ancillary data and annotated for blind Spectral Unmixing using Deep Learning (License CC BY 4.0). IEEE DataPort, 2023 - Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey:
Compress Then Test: Powerful Kernel Testing in Near-linear Time. CoRR abs/2301.05974 (2023) - Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen:
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. CoRR abs/2304.14772 (2023) - Vivien Cabannes, Carles Domingo-Enrich:
Open Problem: Learning with Variational Objectives on Measures. CoRR abs/2306.11928 (2023) - Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton:
Length Generalization in Arithmetic Transformers. CoRR abs/2306.15400 (2023) - Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen:
Stochastic Optimal Control Matching. CoRR abs/2312.02027 (2023) - 2022
- Sarah Mubeen, Alpha Tom Kodamullil, Martin Hofmann-Apitius, Daniel Domingo-Fernández:
On the influence of several factors on pathway enrichment analysis. Briefings Bioinform. 23(3) (2022) - Carles Domingo-Enrich:
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. COLT 2022: 421-447 - Rafael Torres, Stefan Postolache, Maria Beatriz Carmo, Ana Paula Cláudio, Ana Paula Afonso, António Ferreira, Dulce Domingos:
Enriching the Visit to an Historical Botanic Garden with Augmented Reality. VISIGRAPP (1: GRAPP) 2022: 91-102 - Carles Domingo-Enrich, Youssef Mroueh:
Tighter Sparse Approximation Bounds for ReLU Neural Networks. ICLR 2022 - Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher:
Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI 2022: 154-163 - Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh:
Learning with Stochastic Orders. CoRR abs/2205.13684 (2022) - Carles Domingo-Enrich, Youssef Mroueh:
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. CoRR abs/2205.13941 (2022) - Carles Domingo-Enrich:
Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis. CoRR abs/2206.00632 (2022) - 2021
- Pawel J. Markiewicz, Julian C. Matthews, John Ashburner, David M. Cash, David L. Thomas, Enrico De Vita, Anna Barnes, M. Jorge Cardoso, Marc Modat, Richard Brown, Kris Thielemans, Casper O. da Costa-Luis, Isadora Lopes Alves, Juan Domingo Gispert, Mark E. Schmidt, Paul Marsden, Alexander Hammers, Sébastien Ourselin, Frederik Barkhof:
Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage 232: 117821 (2021) - Arnau Dòria-Cerezo, Josep M. Olm, Domingo Biel, Enric Fossas:
Sliding Modes in a Class of Complex-Valued Nonlinear Systems. IEEE Trans. Autom. Control. 66(7): 3355-3362 (2021) - Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur:
Average-case Acceleration for Bilinear Games and Normal Matrices. ICLR 2021 - Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna:
On Energy-Based Models with Overparametrized Shallow Neural Networks. ICML 2021: 2771-2782 - Carles Domingo-Enrich, Youssef Mroueh:
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. NeurIPS 2021: 19248-19260 - Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna:
On Energy-Based Models with Overparametrized Shallow Neural Networks. CoRR abs/2104.07531 (2021) - Carles Domingo-Enrich, Youssef Mroueh:
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. CoRR abs/2106.05739 (2021)
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