Machine learning toolkits and integrability techniques in gravity

Workshop theme

This workshop aims to bring together researchers in solution-generating techniques and integrability, as well as Riemann-Hilbert factorization problems in gravity. It will also bring in expertise in AI and machine learning as a tool, especially in solving factorization problems, and in developing new matrix factorization methods that will be of service to solving gravitational PDEs. This event is the second workshop in a 4-month long BLH programme at the INI centred around the same topics.

This workshop will take place at the Møller Institute, which is a short walk from the Isaac Newton Institute.

Applications for physical participation have now closed, but we are accepting applications for virtual attendance until Friday 22nd October 2023.

Applications for this workshop are now closed

Fees

Registration Only

Registration Package: £ 503
Student Registration Package: £ 453

The Registration Package includes admission to all seminars, lunches and refreshments on the days that lectures take place (Monday - Friday), wine reception and formal dinner, but does not include other meals or accommodation.

Formal Dinner Only

Formal Dinner: £60

Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event. For all remaining participants who would like to attend, such as programme participants, the above charge will apply.

Accommodation

Unfortunately we do not have any accommodation to offer so all successful applicants will need to source their own accommodation.

Please see the Hotels Combined website for a list of local hotels and guesthouses.

Meals

Lunch

Lunch will be provided at the Møller Institute.

Evening Meal

Participants are free to make their own arrangements for dinner.

Formal Dinner

The Formal Dinner location and date is to be confirmed. Participants on the Registration Package, including organisers and speakers, are automatically included in this event.

The Institute kindly requests that any papers published as a result of this programme’s activities are credited as such. Please acknowledge the support of the Institute in your paper using the following text:

The author(s) would like to thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support and hospitality during the programme Machine learning toolkits and integrability techniques in gravity, where work on this paper was undertaken. This work was supported by EPSRC grant EP/R014604/1.

Timetable

Monday 6th November 2023
09:30 to 09:55	Morning Coffee and Registration	External
09:55 to 10:00	Milla Kibble Aalborg Universitet Welcome talk	External
10:00 to 11:00	Alessandro Torrielli University of Surrey The strange world of AdS2 integrability	External
11:00 to 11:30	Group photo and Morning Coffee	External
11:30 to 12:30	Shailesh Lal Beijing Institute of Mathematical Sciences and Applications Machine Learning Solutions to the Yang Baxter Equation	External
12:30 to 13:30	Lunch at Moller Institute	External
13:30 to 14:30	Mariana Carrillo Gonzalez Imperial College London Double Copy in Mini-Twistor Space	External
14:30 to 15:30	Koji Hashimoto Kyoto University Machine-learning quantum gravity : a generative discrete geometry and neural polytopes	External
15:30 to 16:00	Afternoon tea	External
17:00 to 18:00	Welcome wine reception at the INI	External

Tuesday 7th November 2023
10:00 to 11:00	Dionysios Aninnos King's College London Gravitational Observatories	External
11:00 to 11:30	Morning coffee	External
11:30 to 12:30	Sven Krippendorf Ludwig-Maximilians-Universität München A new look at type IIB flux vacua via numerical methods	External
12:30 to 13:30	Lunch at the Moller Institute	External
13:30 to 14:30	Gianluca Inverso Istituto Nazionale di Fisica Nucleare Sezione di Padova 2d maximal supergravities from higher dimensions	External
14:30 to 15:30	Alexander Migdal New York University; NYU Shanghai To the theory of decaying turbulence	External
15:30 to 16:00	Afternoon tea	External

Wednesday 8th November 2023
09:30 to 10:00	Registration, Tea and Coffee	External
10:00 to 10:15	Welcome and Introduction	External
10:15 to 10:45	TBC	External
10:45 to 11:15	TBC	External
11:15 to 11:40	Tea and Coffee Break	External
11:40 to 12:40	TBC	External
12:40 to 13:45	Lunch at the Moller Institute	External
13:45 to 15:15	Chair: Yang-Hui Hey, City University Mediated Panel Discussion	External
15:15 to 15:30	Chair: Yang-Hui Hey, City University Tea and Coffee Break	External
15:30 to 17:00	Mediated Panel Discussion	External
17:00 to 18:00	Gateway Networking Reception at the INI - Drinks and canapes	No Room Required

Thursday 9th November 2023
10:00 to 11:00	Jiakang Bao University of Tokyo Can AI probe toric Calabi-Yau?	External
11:00 to 11:30	Morning coffee	External
11:30 to 12:30	M. Cristina Câmara University of Lisbon Wiener-Hopf factorisation, Toeplitz operators and the ergosphere of a rotating black hole	External
12:30 to 13:30	Lunch at Moller Institute	External
13:30 to 14:30	Robert Penna SUNY Polytechnic Institute Integrability and the Geroch Group	External
14:30 to 15:30	Damian Mayorga Peña University of the Witwatersrand; Instituto Superior Técnico, Lisboa Machine Learning Integrability in 1D and 2D Models of Gravity	External
15:30 to 16:00	Afternoon tea	External
16:00 to 17:00	Silvia Nagy Durham University Self-dual gravity in a curved background	External
19:30 to 22:00	Formal Dinner at Sidney Sussex College	External

Friday 10th November 2023
10:00 to 11:00	Victoria Martin University of Iceland Love symmetry in higher-dimensional rotating black hole spacetimes	External
11:00 to 11:30	Morning coffee	External
11:30 to 12:30	Elli Heyes City, University of London New Calabi-Yau Manifolds from Genetic Algorithms	External
12:30 to 13:30	Lunch at Moller Institute	External
13:30 to 14:30	Costis Papageorgakis Queen Mary University of London Reinforcement-Learning based numerical approaches for the conformal bootstrap	External
14:30 to 15:30	Afternoon tea	External

Black holes: bridges between number theory and holographic quantum information

Machine learning toolkits and integrability techniques in gravity

Organisers

Yang-Hui He City University, London; University of Oxford
Suresh Nampuri Instituto Superior Técnico, Lisboa

Speakers

Dionysios Aninnos King's College London
Jiakang Bao University of Tokyo
Mariana Carrillo Gonzalez Imperial College London
M. Cristina Câmara University of Lisbon
Koji Hashimoto Kyoto University
Elli Heyes City, University of London
Gianluca Inverso Istituto Nazionale di Fisica Nucleare Sezione di Padova
Milla Kibble Aalborg Universitet
Sven Krippendorf Ludwig-Maximilians-Universität München
Shailesh Lal Beijing Institute of Mathematical Sciences and Applications
Victoria Martin University of Iceland
Damian Mayorga Peña University of the Witwatersrand; Instituto Superior Técnico, Lisboa
Alexander Migdal New York University; NYU Shanghai
Silvia Nagy Durham University
Costis Papageorgakis Queen Mary University of London
Robert Penna SUNY Polytechnic Institute
Alessandro Torrielli University of Surrey

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Participants

Dionysios Aninnos King's College London
Arash Ardehali Stony Brook University
Cameron Beetar University of Cape Town
Suzanne Bintanja Universiteit van Amsterdam
Giorgi Butbaia University of New Hampshire
Nana Cabo Bizet Universidad de Guanajuato
Alejandro Cabo Bizet Università del Salento
Mariana Carrillo Gonzalez Imperial College London
Alejandra Castro University of Cambridge
M. Cristina Câmara University of Lisbon
Robert de Mello Koch Huzhou University
Sreya Ghosh Central University of Karnataka
Gregory Gold University of Queensland
RICHA HALDER Indian Institute of Science Education and Research (IISER)
Sarah Harrison McGill University
Koji Hashimoto Kyoto University
Yang-Hui He London Institute for Mathematical Sciences; Merton College
Elli Heyes City, University of London
Wang Hongyu Imperial College London
Gianluca Inverso Istituto Nazionale di Fisica Nucleare Sezione di Padova
Vishnu Jejjala University of the Witwatersrand
Abhiram Kidambi University of Tokyo; Max Planck Institute for Mathematics in the Sciences
Sven Krippendorf Ludwig-Maximilians-Universität München
Shailesh Lal Beijing Institute of Mathematical Sciences and Applications
Kyu-Hwan Lee University of Connecticut
Wei Li Institute of Theortetical Physics, Chinese Academy of Sciences
Lek-Heng Lim University of Chicago
Gabriel Lopes Cardoso Instituto Superior Técnico, Lisboa
Suvajit Majumdar City, University of London
Victoria Martin University of Iceland
Damian Mayorga Peña University of the Witwatersrand; Instituto Superior Técnico, Lisboa
Alexander Migdal New York University; NYU Shanghai
Challenger Mishra University of Cambridge
Thomas Mohaupt University of Liverpool
Rahul Musale Savitribai Phule Pune University (SPPU)
Silvia Nagy Durham University
Suresh Nampuri Instituto Superior Técnico, Lisboa
Turmoli Neogi None / Other
Thomas Oliver University of Westminster
Costis Papageorgakis Queen Mary University of London
Rahul Poddar University of Iceland
Mohammad Reza Rahmati Centro de Investigación en Matemáticas
Sanjaye Ramgoolam Queen Mary University of London
Dmitrii Riabchenko City, University of London
Kaiwen Sun Max Planck Institute for Mathematics
Abinash Swain None / Other
Zhao-He Watse Sybesma University of Cambridge
Larus Thorlacius University of Iceland
Alessandro Torrielli University of Surrey
Manus Visser University of Cambridge
Aron Wall University of Cambridge
Masahito Yamazaki University of Tokyo
Takuya Yoda Kyoto University
Ivonne Zavala Swansea University