| 2025 | ICLR | Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA. | Changmin Yu, Maneesh Sahani, Mt Lengyel |
| 2023 | AISTATS | Unsupervised representation learning with recognition-parametrised probabilistic models. | William I. Walker, Hugo Soulat, Changmin Yu, Maneesh Sahani |
| 2023 | ICLR | Minimum Description Length Control. | Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matt M. Botvinick |
| 2022 | ICLR | A First-Occupancy Representation for Reinforcement Learning. | Ted Moskovitz, Spencer R. Wilson, Maneesh Sahani |
| 2022 | ISIT | Learning neural codes for perceptual uncertainty. | Mehrdad Salmasi, Maneesh Sahani |
| 2020 | ICML | Amortised Learning by Wake-Sleep. | Li K. Wenliang, Theodore H. Moskovitz, Heishiro Kanagawa, Maneesh Sahani |
| 2019 | ICML | Learning interpretable continuous-time models of latent stochastic dynamical systems. | Lea Duncker, Gergo Bohner, Julien Boussard, Maneesh Sahani |
| 2017 | CogSci | Modelling the dynamics of integrating context into perception: in good and in poor readers. | Itay Lieder, Vincent Adam, Maneesh Sahani, Merav Ahissar |
| 2012 | ICASSP | Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference. | Richard E. Turner, Maneesh Sahani |
| 2012 | ICML | Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation. | Gautham J. Mysore, Maneesh Sahani |
| 2010 | ICASSP | Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation. | Richard E. Turner, Maneesh Sahani |
| 2008 | ICASSP | A factor-analysis decoder for high-performance neural prostheses. | Gopal Santhanam, Byron M. Yu, Vikash Gilja, Stephen I. Ryu, Afsheen Afshar, Maneesh Sahani, Krishna V. Shenoy |
| 2008 | ICML | Fast Gaussian process methods for point process intensity estimation. | John P. Cunningham, Krishna V. Shenoy, Maneesh Sahani |
| 2007 | ICANN | Generalized Softmax Networks for Non-linear Component Extraction. | Jrg Lcke, Maneesh Sahani |
| 2007 | ICONIP | Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models. | Byron M. Yu, John P. Cunningham, Krishna V. Shenoy, Maneesh Sahani |