output
20092026
most citedGeomstats: A Python Package for Riemannian Geometry in Machine Learning

96 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024Show all

9 papers · 1 filter

cs.CV2024

AVS-Net: Audio-Visual Scale Net for Self-supervised Monocular Metric Depth Estimation

Xiaohu Liu, Sascha Hornauer, Fabien Moutarde +1

Metric depth prediction from monocular videos suffers from bad generalization between datasets and requires supervised depth data for scale-correct training. Self-supervised traini…

eess.IV2024★ 2 cited

Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging

Simon Gutwein, Daria Lazic, Thomas Walter +2

Multiplex Imaging (MI) enables the simultaneous visualization of multiple biological markers in separate imaging channels at subcellular resolution, providing valuable insights int…

cs.CV2024

HD-OOD3D: Supervised and Unsupervised Out-of-Distribution object detection in LiDAR data

Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette

Autonomous systems rely on accurate 3D object detection from LiDAR data, yet most detectors are limited to a predefined set of known classes, making them vulnerable to unexpected o…

stat.ML2024

One Wave To Explain Them All: A Unifying Perspective On Feature Attribution

Gabriel Kasmi, Amandine Brunetto, Thomas Fel +1

Feature attribution methods aim to improve the transparency of deep neural networks by identifying the input features that influence a model's decision. Pixel-based heatmaps have b…

cs.RO2024

Invariant filtering for wheeled vehicle localization with unknown wheel radius and unknown GNSS lever arm

Paul Chauchat, Silvère Bonnabel, Axel Barrau

We consider the problem of observer design for a nonholonomic car (more generally a wheeled robot) equipped with wheel speeds with unknown wheel radius, and whose position is measu…

cs.SD2024

NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields

Amandine Brunetto, Sascha Hornauer, Fabien Moutarde

Sound plays a major role in human perception. Along with vision, it provides essential information for understanding our surroundings. Despite advances in neural implicit represent…

eess.SY2024★ 4 cited

Invariant Kalman Filtering with Noise-Free Pseudo-Measurements

Sven Goffin, Silvère Bonnabel, Olivier Brüls +1

In this paper, we focus on developing an Invariant Extended Kalman Filter (IEKF) for extended pose estimation for a noisy system with state equality constraints. We treat those con…

math.OC2024

Variational Dynamic Programming for Stochastic Optimal Control

Marc Lambert, Francis Bach, Silvère Bonnabel

We consider the problem of stochastic optimal control, where the state-feedback control policies take the form of a probability distribution and where a penalty on the entropy is a…

cs.LG2024

Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction

Raphael Chekroun, Han Wang, Jonathan Lee +4

Accurate real-time traffic state forecasting plays a pivotal role in traffic control research. In particular, the CIRCLES consortium project necessitates predictive techniques to m…