| 2023 | ICML | Compositional Score Modeling for Simulation-Based Inference. | Tomas Geffner, George Papamakarios, Andriy Mnih |
| 2021 | ICML | Generalized Doubly Reparameterized Gradient Estimators. | Matthias Bauer, Andriy Mnih |
| 2021 | ICML | The Lipschitz Constant of Self-Attention. | Hyunjik Kim, George Papamakarios, Andriy Mnih |
| 2020 | AISTATS | Sparse Orthogonal Variational Inference for Gaussian Processes. | Jiaxin Shi, Michalis K. Titsias, Andriy Mnih |
| 2019 | AISTATS | Resampled Priors for Variational Autoencoders. | Matthias Bauer, Andriy Mnih |
| 2019 | ICLR | Attentive Neural Processes. | Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh |
| 2018 | ICML | Disentangling by Factorising. | Hyunjik Kim, Andriy Mnih |
| 2017 | ICLR | Particle Value Functions. | Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Arnaud Doucet, Andriy Mnih, Yee Whye Teh |
| 2017 | ICLR | The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables. | Chris J. Maddison, Andriy Mnih, Yee Whye Teh |
| 2017 | ICLR | REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models. | George Tucker, Andriy Mnih, Chris J. Maddison, Jascha Sohl-Dickstein |
| 2016 | ICML | Variational Inference for Monte Carlo Objectives. | Andriy Mnih, Danilo Jimenez Rezende |
| 2014 | ICML | Deep AutoRegressive Networks. | Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra |
| 2014 | ICML | Neural Variational Inference and Learning in Belief Networks. | Andriy Mnih, Karol Gregor |
| 2012 | ICML | A fast and simple algorithm for training neural probabilistic language models. | Andriy Mnih, Yee Whye Teh |
| 2008 | ESANN | Improving a statistical language model by modulating the effects of context words. | Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton |
| 2008 | ICML | Bayesian probabilistic matrix factorization using Markov chain Monte Carlo. | Ruslan Salakhutdinov, Andriy Mnih |
| 2007 | ICML | Three new graphical models for statistical language modelling. | Andriy Mnih, Geoffrey E. Hinton |
| 2007 | ICML | Restricted Boltzmann machines for collaborative filtering. | Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton |
| 2005 | IJCNN | Learning nonlinear constraints with contrastive backpropagation. | Andriy Mnih, Geoffrey E. Hinton |