Wed 25 May
09:00 - 10:00 CIMDA-Oxford Seminar
- 09:00 - 09:30 Frank Fan (PhD Student, Department of Electrical Engineering, CityU): Human Facial Behavior Analysis Based on Deep Learning
- 09:30 - 10:00 Prof. Mike Giles (Head of Department, Mathematical Institute, University of Oxford): Multilevel Monte Carlo and reduced precision arithmetic
16:00 - 17:00 RPIG | Patric Bonnier: Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths
Thu 26 May
16:00 - 17:00 DataSıg Seminar Series | Zoltan Szabo: Tensor Product Kernels for Independence
Tue 7 Jun
09:00 - 10:00 CIMDA-Oxford Seminar
- 09:00 - 09:30 Xiaohan Xing (Former PhD Student, Department of Electrical Engineering, CityU): A Study on Data Characteristics-based Efficient Deep Learning Algorithms for Disease Diagnosis
- 09:30 - 10:00 Dr Estelle Massart (University of Louvain and University of Oxford): Coordinate descent on the orthogonal group for recurrent neural network training
Thu 9 Jun
16:00 - 17:00 RPIG | Yang Song: To be confirmed
Wed 15 Jun
16:00 - 17:00 RPIG | Julius von Kügelgen: From Statistical to Causal Learning
Wed 22 Jun
09:00 - 10:00 CIMDA-Oxford Seminar
- 09:00 - 09:30 Jiayu Shang (PhD Student, Department of Electrical Engineering, CityU): Bacteriophage Classification for Assembled Contigs Using Graph Convolutional Network
- 09:30 - 10:00 James Morrill (DPhil student, Mathematical Institute, University of Oxford): Choice of control signal for Neural CDEs
27 - 30 Jun
IMS Annual Meeting in Probability and Statistics, London
Wed 29 Jun
09:00 - 10:00 RPIG | Fabian Germ: Learning the conditional law: signatures and conditional GANs in filtering and prediction of diffusion processes
16:00 - 17:00 DataSıg Seminar Series | Francis Bach: Information theory with kernel methods
Thu 30 Jun
16:00 - 17:00 DataSıg Seminar Series | Kurusch Ebrahimi-Fard: To be confirmed
Wed 6 Jul
16:00 - 17:00 RPIG | Sumeet Singh: To be confirmed
11 - 15 Jul
SIAM 2022 annual meeting
18 - 19 Aug
Workshop on Rough Analysis and Data Science: Further details to be confirmed
