Learning interpretable continuous-time models of latent stochastic dynamical systems. - Lea Duncker; Gergo Bohner; Julien Boussard; Maneesh Sahani (ICML, 2019)

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 (ICASSP, 2021)

Three-dimensional spike localization and improved motion correction for Neuropixels recordings. - Julien Boussard; Erdem Varol; Hyun Dong Lee; Nishchal Dethe; Liam Paninski (NeurIPS, 2021)

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; et al. (ICASSP, 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; et al. (NeurIPS, 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)

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, 2025)