Julien Boussard

According to our database, Julien Boussard authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Identifying birdsong syllables without labelled data.

Mélisande Teng, Julien Boussard, David Rolnick, Hugo Larochelle

CoRR, September, 2025

Causal Climate Emulation with Bayesian Filtering.

Sebastian Hickman, Ilija Trajkovic, Julia Kaltenborn, Francis Pelletier, Alex Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard

CoRR, June, 2025

2023

Towards Causal Representations of Climate Model Data.

Julien Boussard, Chandni Nagda, Julia Kaltenborn, Charlotte Emilie Elektra Lange, Philippe Brouillard, Yaniv Gurwicz, Peer Nowack, David Rolnick

CoRR, 2023

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes.

Yizi Zhang, Tianxiao He, Julien Boussard, Charles Windolf, Olivier Winter, Eric Trautmann, Noam Roth, Hailey Barrell, Mark Churchland, Nicholas A. Steinmetz, Erdem Varol, Cole L. Hurwitz, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Online Multiband Drift Estimation in Electrophysiology Data.

Charlie Windolf, Angelique C. Paulk, Yoav Kfir, Eric Trautmann, Domokos Meszéna, William Muñoz, Irene Caprara, Mohsen Jamali, Julien Boussard, Ziv M. Williams, Sydney S. Cash, Liam Paninski, Erdem Varol

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Three-dimensional spike localization and improved motion correction for Neuropixels recordings.

Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decentralized Motion Inference and Registration of Neuropixel Data.

Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne E. Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Learning interpretable continuous-time models of latent stochastic dynamical systems.

Lea Duncker, Gergo Bohner, Julien Boussard, Maneesh Sahani

Proceedings of the 36th International Conference on Machine Learning, 2019