Zobrazeno 1 - 10
of 964
pro vyhledávání: '"Schepper, P."'
Autor:
Saeed, Muhammad Saad, Nawaz, Shah, Zaheer, Muhammad Zaigham, Khan, Muhammad Haris, Nandakumar, Karthik, Yousaf, Muhammad Haroon, Sajjad, Hassan, De Schepper, Tom, Schedl, Markus
Multimodal networks have demonstrated remarkable performance improvements over their unimodal counterparts. Existing multimodal networks are designed in a multi-branch fashion that, due to the reliance on fusion strategies, exhibit deteriorated perfo
Externí odkaz:
http://arxiv.org/abs/2408.07445
Autor:
Liaqat, Muhammad Irzam, Nawaz, Shah, Zaheer, Muhammad Zaigham, Saeed, Muhammad Saad, Sajjad, Hassan, De Schepper, Tom, Nandakumar, Karthik, Schedl, Muhammad Haris Khan Markus
Multimodal learning has demonstrated remarkable performance improvements over unimodal architectures. However, multimodal learning methods often exhibit deteriorated performances if one or more modalities are missing. This may be attributed to the co
Externí odkaz:
http://arxiv.org/abs/2407.16243
Dataset condensation (DC) methods aim to learn a smaller synthesized dataset with informative data records to accelerate the training of machine learning models. Current distribution matching (DM) based DC methods learn a synthesized dataset by match
Externí odkaz:
http://arxiv.org/abs/2406.09860
For the vertex selection problem $(\sigma,\rho)$-DomSet one is given two fixed sets $\sigma$ and $\rho$ of integers and the task is to decide whether we can select vertices of the input graph, such that, for every selected vertex, the number of selec
Externí odkaz:
http://arxiv.org/abs/2403.07524
Autor:
Focke, Jacob, Frei, Fabian, Li, Shaohua, Marx, Dániel, Schepper, Philipp, Sharma, Roohani, Węgrzycki, Karol
We study a general family of problems that form a common generalization of classic hitting (also referred to as covering or transversal) and packing problems. An instance of X-HitPack asks: Can removing k (deletable) vertices of a graph G prevent us
Externí odkaz:
http://arxiv.org/abs/2402.14927
Continual learning (CL) is the research field that aims to build machine learning models that can accumulate knowledge continuously over different tasks without retraining from scratch. Previous studies have shown that pre-training graph neural netwo
Externí odkaz:
http://arxiv.org/abs/2401.18054
Autor:
Mortier, Steven, Hamedpour, Amir, Bussmann, Bart, Wandji, Ruth Phoebe Tchana, Latré, Steven, Sigurdsson, Bjarni D., De Schepper, Tom, Verdonck, Tim
Changes in climate can greatly affect the phenology of plants, which can have important feedback effects, such as altering the carbon cycle. These phenological feedback effects are often induced by a shift in the start or end dates of the growing sea
Externí odkaz:
http://arxiv.org/abs/2312.12258
Autor:
Vanneste, Astrid, Vanneste, Simon, Vasseur, Olivier, Janssens, Robin, Billast, Mattias, Anwar, Ali, Mets, Kevin, De Schepper, Tom, Mercelis, Siegfried, Hellinckx, Peter
In recent years, interest in autonomous shipping in urban waterways has increased significantly due to the trend of keeping cars and trucks out of city centers. Classical approaches such as Frenet frame based planning and potential field navigation o
Externí odkaz:
http://arxiv.org/abs/2311.09878
Autor:
Elise Nauwynck, Michel De Vos, Alexander Gheldof, Bart JH Dequeker, Annelore Van Der Kelen, Frederik Hes, Stephanie Verheyden, Jesse Vanbesien, Inge Gies, Jean De Schepper, Willem Staels
Publikováno v:
Endocrinology, Diabetes & Metabolism Case Reports, Vol 1, Iss 1, Pp 1-6 (2024)
Delayed puberty in girls is often related to late maturation but is occasionally the first sign of premature ovarian insufficiency (POI). POI is a condition that affects ovarian function and fertility, and its etiology is unknown in most cases. Genet
Externí odkaz:
https://doaj.org/article/0898069277994d15a01015a8a598ea76
Autor:
Vanneste, Astrid, Somers, Thomas, Vanneste, Simon, Mets, Kevin, De Schepper, Tom, Mercelis, Siegfried, Hellinckx, Peter
Many multi-agent systems require inter-agent communication to properly achieve their goal. By learning the communication protocol alongside the action protocol using multi-agent reinforcement learning techniques, the agents gain the flexibility to de
Externí odkaz:
http://arxiv.org/abs/2308.04844