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pro vyhledávání: '"Falkiewicz"'
High-speed flight vehicles, which travel much faster than the speed of sound, are crucial for national defense and space exploration. However, accurately predicting their behavior under numerous, varied flight conditions is a challenge and often proh
Externí odkaz:
http://arxiv.org/abs/2411.03598
Traditional molecule generation methods often rely on sequence or graph-based representations, which can limit their expressive power or require complex permutation-equivariant architectures. This paper introduces a novel paradigm for learning molecu
Externí odkaz:
http://arxiv.org/abs/2410.12522
We propose a novel deep generative model, the Kolmogorov-Smirnov Generative Adversarial Network (KSGAN). Unlike existing approaches, KSGAN formulates the learning process as a minimization of the Kolmogorov-Smirnov (KS) distance, generalized to handl
Externí odkaz:
http://arxiv.org/abs/2406.19948
Autor:
Falkiewicz Ewa, Sasin Wiesław
Publikováno v:
Demonstratio Mathematica, Vol 50, Iss 1, Pp 28-41 (2017)
Inspired by the work of Heller and Sasin [1], we construct in this paper Weil homomorphism in a locally free sheaf W of ϕ-fields [2] over a structured space. We introduce the notion of G-consistent, linear connection on this sheaf, what allows us to
Externí odkaz:
https://doaj.org/article/f9fec90de868424386d70259ff15454a
Autor:
Falkiewicz, Maciej, Takeishi, Naoya, Shekhzadeh, Imahn, Wehenkel, Antoine, Delaunoy, Arnaud, Louppe, Gilles, Kalousis, Alexandros
Bayesian inference allows expressing the uncertainty of posterior belief under a probabilistic model given prior information and the likelihood of the evidence. Predominantly, the likelihood function is only implicitly established by a simulator posi
Externí odkaz:
http://arxiv.org/abs/2310.13402
Autor:
Landsburg, Daniel J., Falkiewicz, Marissa K., Maly, Joseph, Blum, Kristie A., Howlett, Christina, Feldman, Tatyana, Mato, Anthony R., Hill, Brian T., Li, Shaoying, Medeiros, L. Jeffrey, Torka, Pallawi, Hernandez-Ilizaliturri, Francisco, Reddy, Nishitha M., Singavi, Arun, Fenske, Timothy S., Chavez, Julio C., Kaplan, Jason B., Behdad, Amir, Petrich, Adam M., Bast, Martin A., Vose, Julie M., Olszewski, Adam J., Costa, Cristiana, Lansigan, Frederick, Gerson, James N., Barta, Stefan K., Calzada, Oscar, Cohen, Jonathon B., Lue, Jennifer K., Amengual, Jennifer E., Rivera, Xavier, Persky, Daniel O., Peace, David J., Nathan, Sunita, Cassaday, Ryan D.
PurposePatients with double-hit lymphoma (DHL) rarely achieve long-term survival following disease relapse. Some patients with DHL undergo consolidative autologous stem-cell transplantation (autoSCT) to reduce the risk of relapse, although the benefi
Externí odkaz:
http://hdl.handle.net/10150/624897
http://arizona.openrepository.com/arizona/handle/10150/624897
http://arizona.openrepository.com/arizona/handle/10150/624897
Publikováno v:
Revista Derecho y Salud, Vol 8, Iss 9 (2024)
En el presente asunto el Tribunal interviniente estudió la acción de tutela formulada por una mujer que solicitó la realización de una cirugía reconstructiva del lóbulo de su oreja derecha, la cual no fue autorizada por su EPS al considerar que
Externí odkaz:
https://doaj.org/article/83a210c0db6f41608990c2f8654fa1d3
Autor:
Ewa Falkiewicz
Publikováno v:
Biuletyn Wojskowej Akademii Technicznej, Vol 72, Iss 3, Pp 121-148 (2023)
The paper presents the relationships between prices, demand and supply in the electric bicyclemarket, which are described by spider web model. The aim of the work is to analyse the probabilitydistributions of price, demand and supply and to simulate
Externí odkaz:
https://doaj.org/article/efaa72fda35a4353abfd0b54e1ee3a14
Representation learning on graphs has emerged as a powerful mechanism to automate feature vector generation for downstream machine learning tasks. The advances in representation on graphs have centered on both homogeneous and heterogeneous graphs, wh
Externí odkaz:
http://arxiv.org/abs/1904.03423