Zobrazeno 1 - 10
of 1 623
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
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
Autor:
Rémi Thiéblemont, Gonéri Le Cozannet, Robert J. Nicholls, Jérémy Rohmer, Guy Wöppelmann, Daniel Raucoules, Marcello deMichele, Alexandra Toimil, Daniel Lincke
Publikováno v:
Earth's Future, Vol 12, Iss 8, Pp n/a-n/a (2024)
Abstract Beside climate‐change‐induced sea‐level rise (SLR), land subsidence can strongly amplify coastal risk in flood‐prone areas. Mapping and quantifying contemporary vertical land motion (VLM) at continental scales has long been a challen
Externí odkaz:
https://doaj.org/article/199097f9c039421cb85c8ec41e4e7bdc
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
Publikováno v:
Computer Graphics Forum, Wiley, 2022, 41 (8)
Real-time character animation in dynamic environments requires the generation of plausible upper-body movements regardless of the nature of the environment, including non-rigid obstacles such as vegetation. We propose a flexible model for upper-body
Externí odkaz:
http://arxiv.org/abs/2209.10214