Zobrazeno 1 - 10
of 1 629
pro vyhledávání: '"Rohmer, P."'
Autor:
Kamohara, Junnosuke, Ares, Vinicius, Hurrell, James, Takehana, Keisuke, Richard, Antoine, Santra, Shreya, Uno, Kentaro, Rohmer, Eric, Yoshida, Kazuya
Simulation of vehicle motion in planetary environments is challenging. This is due to the modeling of complex terrain, optical conditions, and terrain-aware vehicle dynamics. One of the critical issues of typical simulators is that they assume terrai
Externí odkaz:
http://arxiv.org/abs/2408.13468
We generalize the additive constrained Gaussian process framework to handle interactions between input variables while enforcing monotonicity constraints everywhere on the input space. The block-additive structure of the model is particularly suitabl
Externí odkaz:
http://arxiv.org/abs/2407.13402
Publikováno v:
XIVth International Symposium on Landslides, Jul 2024, Chamb{\'e}ry, France
For rockfall hazard assessment on areas more than several km2 in size, the quantification of runout probability is usually done empirically. Classical methods use statistical distributions of reach or energy angles derived from rockfall databases. Ho
Externí odkaz:
http://arxiv.org/abs/2404.14421
Autor:
Greif, Toni, Bouvier, Louis, Flath, Christoph M., Parmentier, Axel, Rohmer, Sonja U. K., Vidal, Thibaut
We introduce a combinatorial optimization-enriched machine learning pipeline and a novel learning paradigm to solve inventory routing problems with stochastic demand and dynamic inventory updates. After each inventory update, our approach reduces rep
Externí odkaz:
http://arxiv.org/abs/2402.04463
Autor:
Sire, Charlie, Rullière, Didier, Riche, Rodolphe Le, Rohmer, Jérémy, Richet, Yann, Pheulpin, Lucie
The investigation of mixture models is a key to understand and visualize the distribution of multivariate data. Most mixture models approaches are based on likelihoods, and are not adapted to distribution with finite support or without a well-defined
Externí odkaz:
http://arxiv.org/abs/2309.08389
Publikováno v:
SOIL, Vol 10, Pp 679-697 (2024)
Machine learning (ML) models have become key ingredients for digital soil mapping. To improve the interpretability of their predictions, diagnostic tools such as the widely used local attribution approach known as SHapley Additive exPlanations (SHAP)
Externí odkaz:
https://doaj.org/article/6de9625be3fc476d96cdd7a3ff73a0aa
Autor:
Sire, Charlie, Richet, Yann, Riche, Rodolphe Le, Rullière, Didier, Rohmer, Jérémy, Pheulpin, Lucie
Quantization summarizes continuous distributions by calculating a discrete approximation. Among the widely adopted methods for data quantization is Lloyd's algorithm, which partitions the space into Vorono\"i cells, that can be seen as clusters, and
Externí odkaz:
http://arxiv.org/abs/2308.10871
Autor:
Rossi, Leonardo de Lellis, Berto, Leticia Mara, Rohmer, Eric, Costa, Paula Paro, Gudwin, Ricardo Ribeiro, Colombini, Esther Luna, Simoes, Alexandre da Silva
The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves understanding how knowledge is acquired and reused by humans as well a
Externí odkaz:
http://arxiv.org/abs/2305.00597
Publikováno v:
PeerJ, Vol 12, p e17731 (2024)
Most third-generation sequencing (TGS) processing tools rely on multiple sequence alignment (MSA) methods to manage sequencing errors. Despite the broad range of MSA approaches available, a limited selection of implementations are commonly used in pr
Externí odkaz:
https://doaj.org/article/16c374b663f8449e804479fef62bce30
Publikováno v:
Frontiers in Virtual Reality, Frontiers, 2022, 3
When we move on snow, sand, or mud, the ground deforms under our feet, immediately affecting our gait. We propose a physically based model for computing such interactions in real time, from only the kinematic motion of a virtual character. The force
Externí odkaz:
http://arxiv.org/abs/2209.10215