| Paper Title (link) | Suggested by | Time | Place | Notes |
| Neural SDEs as Infinite-Dimensional GANs (link) | Luca Manneschi | 12noon, Thursday | Ada Lovelace Room, Regent Court | |
| BayesFlow: Learning complex stochastic models with invertible neural networks (link) | Mike Smith | 12 noon, Thursday, 2nd November. | Ada Lovelace Room, Regent Court | |
| Causal Dynamics Learning for Task-Independent State Abstraction (link) | Chao Han | 12 noon, Thursday, 16th November. | Ada Lovelace Room, Regent Court | |
| Deep physical neural networks trained with backpropagation (link) | Ian Vidamour | 12 noon, Thursday, 30th November. | Ada Lovelace Room, Regent Court | |
| - cancelled - | - cancelled - | 12 noon, Thursday 11th January, 2024 | - cancelled - | |
| Variational inference for infinitely deep neural networks (llink) | Chris Noroozi | 12 noon, Thursday 25th January, 2024 | Ada Lovelace Room, Regent Court | |
| Global response sensitivity analysis using probability distance measures and generalization of Sobol's analysis (link) | Mariya Mamajiwala | 12 noon, Thursday, 8th February, 2024. | Ada Lovelace Room, Regent Court | |
| Deep Gaussian process emulation using stochastic imputation (link) | Mike Smith | 12 noon, Thursday, 18th April, 2024. | Ada Lovelace Room, Regent Court | |
Deep Neural Networks as Gaussian Processes (link) | Mike Smith | 12 noon, Thursday 13th June, 2024. | Ada Lovelace Room, Regent Court | |
| Neural Processes (link) | Richard Wilkinson | 12 noon, Thursday 27th June, 2024. | Ada Lovelace Room, Regent Court | |
| - break - | -- | 11th July | -- | |
| - break - | -- | 25th July | -- | |
| Stochastic physics-informed neural ordinary differential equations (link) | Mariya Mamajiwala | 12 noon, Thursday 8th August, 2024. | Ada Lovelace Room, Regent Court | |
| - break - | -- | 22nd August | -- | |
| TBC | Luca Manneschi | 12 noon, Thursday, 5th September, 2024. | Ada Lovelace Room, Regent Court |