Jonathan Donier

According to our database, Jonathan Donier authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enabling Uncertainty Estimation in Iterative Neural Networks.

Nikita Durasov, Doruk Öner, Jonathan Donier, Hieu Le, Pascal Fua

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation.

Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua

Proceedings of the International Conference on 3D Vision, 2022

2021

DEBOSH: Deep Bayesian Shape Optimization.

Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua

CoRR, 2021

HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation.

Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua

CoRR, 2021

2020

The universality of skipping behaviours on music streaming platforms.

Jonathan Donier

CoRR, 2020

2019

Ensemble-based cover song detection.

Marc Sarfati, Anthony Hu, Jonathan Donier

CoRR, 2019

Scaling up deep neural networks: a capacity allocation perspective.

Jonathan Donier

CoRR, 2019

Capacity allocation through neural network layers.

Jonathan Donier

CoRR, 2019

Capacity allocation analysis of neural networks: A tool for principled architecture design.

Jonathan Donier

CoRR, 2019

Community-Based Cover Song Detection.

Jonathan Donier

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019