Seminars

We organise a number of seminars based on our common interests. You might also be interested in the seminar series in Statistics, Numerical Analysis, and Applied and Interdisciplinary Mathematics (AIMS).

Optimal convex M-estimation via score matching,
Oliver Feng (University of Bath)
Location: 1W 2.102 (note the unusual location!),  Time: 16:15, 1 May, 2024
On the sample complexity of inverse problems,
Matteo Santacesaria (University of Genoa)
Location: 1W 2.101 (note the unusual location!),  Time: 16:15, 17 Apr, 2024
Statistics and Computation of Learning in Extreme-scale classification,
Rohit Babbar (University of Bath)
Location: 4W 1.7 Wolfson,  Time: 16:15, 20 Mar, 2024
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning,
Francesca Bartolucci (Delft University of Technology)
Location: 4W 1.7 Wolfson,  Time: 16:15, 6 Mar, 2024
The visit of the seminar speaker is sponsored by Maths4DL.
Knowledge-based learning for model parameter selection in linear inverse problems,
Alexandra Koulouri (Tampere University)
Location: 4W 1.7 Wolfson,  Time: 16:15, 21 Feb, 2024
Supervised and unsupervised sampling for approximate linear algebra,
Bertrand Gauthier (Cardiff University)
Location: 4W 1.7 Wolfson,  Time: 16:15, 29 Nov, 2023
Physics Inspired Graph Neural Networks,
James Rowbottom (University of Cambridge)
Location: 4W 1.7 Wolfson,  Time: 16:15, 15 Nov, 2023
The visit of the seminar speaker is sponsored by Maths4DL.
The Scattering Transform with applications to Quantum Chemistry,
Georgios Exarchakis (University of Bath)
Location: 4W 1.7 Wolfson,  Time: 16:15, 1 Nov, 2023
Subsampling in Continuous Time: from Optimisation to Sampling,
Jonas Latz (University of Manchester)
Location: 4W 1.7 Wolfson,  Time: 16:15, 25 Oct, 2023
Note the shift from our usual bi-weekly cycle. The visit of the seminar speaker is sponsored by Maths4DL.
Motion Estimation using Lifting and Neural Fields,
Jan Lellmann and Johannes Bostelmann (University of Luebeck)
Location: 4W 1.7 Wolfson,  Time: 16:00, 4 Oct, 2023
The visit of the seminar speakers is sponsored by Maths4DL.
Learning with limited data: Few-shot learning and its extensions,
Da Chen (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 17 May, 2023
Quantum Optimal Control,
Pranav Singh (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 3 May, 2023
Spatiotemporal decoding of neural signals,
Benjamin Metcalfe (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 19 Apr, 2023
Isotropic kernels with non-Euclidean metric,
Vangelis Evangelou (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 8 Mar, 2023
Design and Recognition of Microgestures for Always-Available Input,
Adwait Sharma (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 22 Feb, 2023
Machine learning with probability generating functions,
Theodore Papamarkou (Manchester)
Location: CB 3.16,  Time: 16:00, 30 Nov, 2022
Transport maps in Bayesian inverse problems,
Sergey Dolgov (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:30, 16 Nov, 2022
Algorithmic game theory, fixed point, and fair division,
Jie Zhang (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 16 Nov, 2022
Data-driven methods for imaging inverse problems: algorithms and theoretical guarantees,
Subhadip Mukherjee (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:30, 2 Nov, 2022
Markov chain cubature for Bayesian inference,
James Foster (Bath)
Location: 4W 1.7 Wolfson,  Time: 16:00, 2 Nov, 2022
Challenges and improvements in optimization algorithms for machine learning,
Coralia Cartis (Oxford)
Location: Zoom,  Time: 12:15, 14 Jun, 2022
Random Primal-Dual Method with applications to Parallel MRI,
Eric Baruch Gutierrez (University of Bath)
Location: Wolfson,  Time: 12:15, 18 Mar, 2022 [url]
Regularising inverse imaging problems using generative deep learning models,
Margaret Duff (University of Bath)
Location: Wolfson,  Time: 12:15, 11 Mar, 2022 [url]
Bayesian Inverse Problems for NMR,
Michele Firmo (University of Bath)
Location: Wolfson,  Time: 12:15, 4 Mar, 2022 [url]
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance),
Lisa Kreusser (Bath)
Location: Zoom,  Time: 12:15, 26 Nov, 2021 [url]
Deep Learning for convex optimisation (and beyond),
Sebastian Banert (Lund, Sweden)
Location: Zoom,  Time: 12:15, 29 Oct, 2021 [url]
A framework for analyzing variance reduced stochastic gradient methods and a new one,
Jingwei Liang (Shanghai Jiao Tong, China)
Location: Zoom,  Time: 12:15, 22 Oct, 2021 [url]
Dynamic inverse problems in spaces of measures with optimal-transport regularization,
Kristian Bredies (University of Graz, Austria)
Location: Wolfson,  Time: 12:15, 15 Oct, 2021 [url]
Rank-1 and rank-r lattices combined with operator splitting for time-dependent Schrödinger equations,
Yuya Suzuki (NTNU, Norway)
Location: MS Teams,  Time: 12:15, 30 Apr, 2021 [url]
Deep tensor decompositions for sampling from high-dimensional distributions,
Sergey Dolgov (Bath)
Location: MS Teams,  Time: 12:15, 23 Apr, 2021 [url]
High order numerical simulation of the underdamped Langevin diffusion,
James Foster (Oxford)
Location: MS Teams,  Time: 12:15, 16 Apr, 2021 [url]
Intrinsic subspaces of high-dimensional inverse problems and where to find them,
Tiangang Cui (Monash University, Australia)
Location: MS Teams,  Time: 12:15, 26 Mar, 2021 [url]
Synthetic data-driven methods for approximating high-dimensional Hamilton-Jacobi PDEs,
Dante Kalise (Nottingham)
Location: MS Teams,  Time: 12:15, 5 Mar, 2021 [url]
Continuum Limit for Lipschitz Learning on Graphs,
Leon Bungert (Erlangen, Germany)
Location: MS Teams,  Time: 12:15, 19 Feb, 2021 [url]
New Shapes, New Materials and New Processes,
Konrad Polthier (FU Berlin, Germany)
Location: MS Teams,  Time: 12:15, 27 Nov, 2020 [url]
Krylov Methods for Low-Rank Regularisation,
Silvia Gazzola (Bath)
Location: MS Teams,  Time: 12:15, 6 Nov, 2020 [url]
Learned SVD - Solving Inverse Problems via Hybrid Autoencoding,
Christoph Brune (Twente, Netherlands)
Location: MS Teams,  Time: 12:15, 30 Oct, 2020 [url]
Applications of Stochastic Differential Equations in Machine Learning,
Constantino Antonio García Martínez (University of Santiago de Compostela, Spain)
Location: MS Teams,  Time: 12:15, 23 Oct, 2020 [url]
Spectral methods for graph clustering, old and new,
Luca Zanetti (Bath)
Location: MS Teams,  Time: 12:15, 9 Oct, 2020 [url]
Deep Generative Models in Lattice Field Theories,
Pan Kessel (TU Berlin, Germany)
Location: MS Teams,  Time: 12:15, 2 Oct, 2020 [url]
Allen-Cahn and MBO on graphs,
Jeremy Budd (Delft, Netherlands)
Location: MS Teams,  Time: 12:15, 15 May, 2020 [url]
A fine(r)-grained perspective onto object interactions,
Dima Damen (University of Bristol)
Location: 1W 2.102,  Time: 11:15, 24 Mar, 2020
Hyperspectral tomography and reconstruction with the CCPi Core Imaging Library,
Jakob Jorgensen (University of Manchester)
Location: 4W 1.7 Wolfson,  Time: 12:15, 14 Feb, 2020
Models and Algorithms for Image Editing with Warping,
Ivor Simpson (University of Sussex)
Location: 3W 4.7,  Time: 14:15, 17 Jan, 2020
Inverse problems with imperfect forward operators and applications in image deblurring,
Yury Korolev (University of Cambridge)
Location: 4W 1.7 Wolfson,  Time: 13:15, 26 Nov, 2019 [url]
A forward-backward algorithm for reweighted procedures: Application to astro-imaging,
Audrey Repetti (Heriot-Watt, Edinburgh)
Location: 8W 2.27,  Time: 12:15, 8 Nov, 2019 [url]
How Many Labels Do You Need For Semi-Supervised Learning?,
Matt Thorpe (University of Manchester)
Location: 4W 1.7 Wolfson,  Time: 13:15, 22 Oct, 2019 [url]
Optimization Methods for Inverse Problems from Imaging,
Ke Chen (University of Liverpool)
Location: 4W 1.7 Wolfson,  Time: 13:15, 15 Oct, 2019 [url]
The geometry of first order methods and adaptive acceleration,
Clarice Poon (University of Bath)
Location: 4W 1.7 Wolfson,  Time: 12:15, 4 Oct, 2019 [url]
Assessing the performance in predicting terrorism in space and time using extreme gradient boosting and geostatistical models,
Andre Python (University of Oxford)
Location: CB 3.7,  Time: 14:15, 26 Mar, 2019 [url]
On Spectral Graph Clustering,
Carey E. Priebe (Johns Hopkins)
Location: CB 3.9,  Time: 14:15, 21 Mar, 2019 [url]
Bayesian inversion by deep learning with applications to tomography,
Ozan Oktem (Stockholm)
Location: 4W 1.7 Wolfson,  Time: 12:15, 1 Mar, 2019 [url]