Duncker, Lea

6 publications

NeurIPS 2025 Separating the 'what' and 'how' of Compositional Computation to Enable Reuse and Continual Learning Haozhe Shan, Minni Sun, Lea Duncker

NeurIPS 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu, David Zoltowski, Aditya Nair, David Anderson, Lea Duncker, Scott Linderman

NeurIPS 2022 Distinguishing Discrete and Continuous Behavioral Variability Using Warped Autoregressive HMMs Julia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey Markowitz, Sandeep R Datta, Alex Williams, Scott Linderman

NeurIPS 2020 Organizing Recurrent Network Dynamics by Task-Computation to Enable Continual Learning Lea Duncker, Laura Driscoll, Krishna V. Shenoy, Maneesh Sahani, David Sussillo

ICML 2019 Learning Interpretable Continuous-Time Models of Latent Stochastic Dynamical Systems Lea Duncker, Gergo Bohner, Julien Boussard, Maneesh Sahani

NeurIPS 2018 Temporal Alignment and Latent Gaussian Process Factor Inference in Population Spike Trains Lea Duncker, Maneesh Sahani