Zobrazeno 1 - 10
of 1 324
pro vyhledávání: '"Vadgama, P"'
Autor:
van der Linden, Putri A., García-Castellanos, Alejandro, Vadgama, Sharvaree, Kuipers, Thijs P., Bekkers, Erik J.
Publikováno v:
Advances in Neural Information Processing Systems (NeurIPS) 2024
Group equivariance has emerged as a valuable inductive bias in deep learning, enhancing generalization, data efficiency, and robustness. Classically, group equivariant methods require the groups of interest to be known beforehand, which may not be re
Externí odkaz:
http://arxiv.org/abs/2412.04594
Autor:
Bernárdez, Guillermo, Telyatnikov, Lev, Montagna, Marco, Baccini, Federica, Papillon, Mathilde, Ferriol-Galmés, Miquel, Hajij, Mustafa, Papamarkou, Theodore, Bucarelli, Maria Sofia, Zaghen, Olga, Mathe, Johan, Myers, Audun, Mahan, Scott, Lillemark, Hansen, Vadgama, Sharvaree, Bekkers, Erik, Doster, Tim, Emerson, Tegan, Kvinge, Henry, Agate, Katrina, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, Dasoulas, George, Elphick, Matouš, Escalona, Giordan, Filipiak, Dominik, Fritze, Halley, Gebhart, Thomas, Gil-Sorribes, Manel, Goomanee, Salvish, Guallar, Victor, Imasheva, Liliya, Irimia, Andrei, Jin, Hongwei, Johnson, Graham, Kanakaris, Nikos, Koloski, Boshko, Kovač, Veljko, Lecha, Manuel, Lee, Minho, Leroy, Pierrick, Long, Theodore, Magai, German, Martinez, Alvaro, Masden, Marissa, Mežnar, Sebastian, Miquel-Oliver, Bertran, Molina, Alexis, Nikitin, Alexander, Nurisso, Marco, Piekenbrock, Matt, Qin, Yu, Rygiel, Patryk, Salatiello, Alessandro, Schattauer, Max, Snopov, Pavel, Suk, Julian, Sánchez, Valentina, Tec, Mauricio, Vaccarino, Francesco, Verhellen, Jonas, Wantiez, Frederic, Weers, Alexander, Zajec, Patrik, Škrlj, Blaž, Miolane, Nina
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM). The challenge focused on the problem
Externí odkaz:
http://arxiv.org/abs/2409.05211
Autor:
Koprucu, Nursena, Nigam, Meher Shashwat, Xu, Shicheng, Abere, Biruk, Dominici, Gabriele, Rodriguez, Andrew, Vadgama, Sharvaree, Inal, Berfin, Tono, Alberto
Inspired by Geoffrey Hinton emphasis on generative modeling, To recognize shapes, first learn to generate them, we explore the use of 3D diffusion models for object classification. Leveraging the density estimates from these models, our approach, the
Externí odkaz:
http://arxiv.org/abs/2408.06693
We show that the gradient of the cosine similarity between two points goes to zero in two under-explored settings: (1) if a point has large magnitude or (2) if the points are on opposite ends of the latent space. Counterintuitively, we prove that opt
Externí odkaz:
http://arxiv.org/abs/2406.16468
Autor:
Wessels, David R, Knigge, David M, Papa, Samuele, Valperga, Riccardo, Vadgama, Sharvaree, Gavves, Efstratios, Bekkers, Erik J
Conditional Neural Fields (CNFs) are increasingly being leveraged as continuous signal representations, by associating each data-sample with a latent variable that conditions a shared backbone Neural Field (NeF) to reconstruct the sample. However, ex
Externí odkaz:
http://arxiv.org/abs/2406.05753
Autor:
Bekkers, Erik J, Vadgama, Sharvaree, Hesselink, Rob D, van der Linden, Putri A, Romero, David W
Based on the theory of homogeneous spaces we derive geometrically optimal edge attributes to be used within the flexible message-passing framework. We formalize the notion of weight sharing in convolutional networks as the sharing of message function
Externí odkaz:
http://arxiv.org/abs/2310.02970
Autor:
Hernandez, Walter, Tylinski, Kamil, Moore, Alastair, Roche, Niall, Vadgama, Nikhil, Treiblmaier, Horst, Shangguan, Jiangbo, Tasca, Paolo, Xu, Jiahua
As Distributed Ledger Technologies (DLTs) rapidly evolve, their impacts extend beyond technology, influencing environmental and societal aspects. This evolution has increased publications, making manual literature analysis increasingly challenging. W
Externí odkaz:
http://arxiv.org/abs/2308.12420
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract This review examines how single-cell omics technologies, particularly single-cell RNA sequencing (scRNAseq), enhance our understanding of pulmonary arterial hypertension (PAH). PAH is a multifaceted disorder marked by pulmonary vascular remo
Externí odkaz:
https://doaj.org/article/d35f57d68afa4dd9aa1b3db58e7eb01e
Autor:
Ami Vadgama, James Boot, Nicola Dark, Harriet E. Allan, Charles A. Mein, Paul C. Armstrong, Timothy D. Warner
Publikováno v:
Research and Practice in Thrombosis and Haemostasis, Vol 8, Iss 5, Pp 102523- (2024)
Background: Platelet function is driven by the expression of specialized surface markers. The concept of distinct circulating subpopulations of platelets has emerged in recent years, but their exact nature remains debatable. Objectives: To design a s
Externí odkaz:
https://doaj.org/article/8ec091d9bcdb4e8381e3ad21edd45326
Autor:
Vessies, Melle B., Vadgama, Sharvaree P., van de Leur, Rutger R., Doevendans, Pieter A., Hassink, Rutger J., Bekkers, Erik, van Es, René
Electrocardiography (ECG) is an effective and non-invasive diagnostic tool that measures the electrical activity of the heart. Interpretation of ECG signals to detect various abnormalities is a challenging task that requires expertise. Recently, the
Externí odkaz:
http://arxiv.org/abs/2111.07386