Zobrazeno 1 - 10
of 97 805
pro vyhledávání: '"A. P. Tran"'
Diffusion models have demonstrated remarkable capabilities in image synthesis, but their recently proven vulnerability to Membership Inference Attacks (MIAs) poses a critical privacy concern. This paper introduces two novel and efficient approaches (
Externí odkaz:
http://arxiv.org/abs/2410.16657
Motion planning is an essential process for the navigation of unmanned aerial vehicles (UAVs) where they need to adapt to obstacles and different structures of their operating environment to reach the goal. This paper presents an optimal motion plann
Externí odkaz:
http://arxiv.org/abs/2410.09799
Autor:
Vo, Thieu N., Tran, Viet-Hoang, Huu, Tho Tran, The, An Nguyen, Tran, Thanh, Nguyen-Nhat, Minh-Khoi, Pham, Duy-Tung, Nguyen, Tan Minh
Neural Functional Networks (NFNs) have gained increasing interest due to their wide range of applications, including extracting information from implicit representations of data, editing network weights, and evaluating policies. A key design principl
Externí odkaz:
http://arxiv.org/abs/2410.04213
Autor:
Tran, Viet-Hoang, Vo, Thieu N., The, An Nguyen, Huu, Tho Tran, Nguyen-Nhat, Minh-Khoi, Tran, Thanh, Pham, Duy-Tung, Nguyen, Tan Minh
This paper systematically explores neural functional networks (NFN) for transformer architectures. NFN are specialized neural networks that treat the weights, gradients, or sparsity patterns of a deep neural network (DNN) as input data and have prove
Externí odkaz:
http://arxiv.org/abs/2410.04209
Recognizing human activities in videos is challenging due to the spatio-temporal complexity and context-dependence of human interactions. Prior studies often rely on single input modalities, such as RGB or skeletal data, limiting their ability to exp
Externí odkaz:
http://arxiv.org/abs/2409.02385
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 6041-6066 (2021)
Climate change is reshaping vulnerable ecosystems, leading to uncertain effects on ecosystem dynamics, including evapotranspiration (ET) and ecosystem respiration (Reco). However, accurate estimation of ET and Reco still remains challenging at sparse
Externí odkaz:
https://doaj.org/article/0d3aabba789948d6bab8d4dbcfe62560
Interpretable Machine Learning faces a recurring challenge of explaining the predictions made by opaque classifiers such as ensemble models, kernel methods, or neural networks in terms that are understandable to humans. When the model is viewed as a
Externí odkaz:
http://arxiv.org/abs/2411.08478
We study the long-time behaviour of solutions to some classes of fourth-order nonlinear PDEs with non-monotone nonlinearities, which include the Landau--Lifshitz--Baryakhtar (LLBar) equation (with all relevant fields and spin torques) and the convect
Externí odkaz:
http://arxiv.org/abs/2411.09034
Autor:
Levrague, Victor, Delorme, R., Roccia, Mathieu, Tran, Ngoc Hoang, Incerti, Sebastien, Beuve, Michael, Testa, Etienne, Plante, Ianik, Rahmanian, Shirin, Poignant, Floriane
Publikováno v:
20th International Conference on the use of Computers in Radiation Therapy (ICCR), Jul 2024, Lyon, France, France
This work aims at investigating the impact of DNA geometry, compaction and calculation chain on DNA break and chromosome aberration predictions for high charge and energy (HZE) ions, using the Monte Carlo codes Geant4-DNA, RITRACKS and RITCARD. To en
Externí odkaz:
http://arxiv.org/abs/2411.07670
Forecasting temporal processes such as virus spreading in epidemics often requires more than just observed time-series data, especially at the beginning of a wave when data is limited. Traditional methods employ mechanistic models like the SIR family
Externí odkaz:
http://arxiv.org/abs/2411.06781