papers
Publications (9)
math.DS2018
Empirical fixed point bifurcation analysis
Gergo Bohner, Maneesh Sahani
stat.ML2015
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar +3
cs.LG2017
A Universal Marginalizer for Amortized Inference in Generative Models
Laura Douglas, Iliyan Zarov, Konstantinos Gourgoulias +6
cs.LG2012
Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation
Gautham Mysore, Maneesh Sahani
stat.ML2018
Flexible and accurate inference and learning for deep generative models
Eszter Vertes, Maneesh Sahani
stat.ML2013
Regularization and nonlinearities for neural language models: when are they needed?
Marius Pachitariu, Maneesh Sahani
stat.ML2019
A neurally plausible model learns successor representations in partially observable environments
Eszter Vertes, Maneesh Sahani
q-bio.NC2015
The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction
Ross S. Williamson, Maneesh Sahani, Jonathan W. Pillow
stat.ML2019
Learning interpretable continuous-time models of latent stochastic dynamical systems
Lea Duncker, Gergo Bohner, Julien Boussard +1