Geneva Lake in about session

Institute of Advanced Study

Institute of Advanced Study (IAS) is dedicated to fostering scientific brilliance. We invite esteemed scientists from around the globe to the picturesque shores of Lake Geneva, offering a perfect backdrop for in-depth discussions, brainstorming, and seminars. Our aim? To nurture the future of science by facilitating rich exchanges of knowledge and expertise.

Kicking off our series of groundbreaking events, the IAS will delve into 'Automating & Accelerating Scientific Discovery'. Here, the spotlight will be on generative models and their pivotal role in addressing the challenges faced in particle physics. We are on the cusp of a revolution, where advanced machine learning is poised to surpass traditional methodologies. This event will navigate topics such as diffusion, score, foundation models, and their myriad applications spanning inverse problems, generative model challenges, and out-of-distribution detection.

At the heart of the IAS lies interaction. By inviting both global and local UNIGE scientists, we foster an environment ripe for the exchange of innovative ideas on machine learning and particle physics. In the inaugural week, our esteemed guests will have the platform to present their research to a wider audience of physics and ML enthusiasts at the UNIGE campus.

Highlighting our commitment to community engagement, the IAS will host three public sessions. Scheduled for the 29th September (08:30 - 12:00), 4th October (14:15 - 18:00), and keynote lecture from Konstantin Novoselev (Nobel Laureate 2010) on 5th October (18:00 - 19:00) these sessions, featuring talks from all our distinguished guests, are open to the general public.

See the registration deadlines at the schedule section.

Lastly, we're orchestrating a joint social activity over the weekend. Stay tuned for more details!

25th September - 06th October 2023




Public Sessions


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Learning physics from the machines

Speaker: Daniel Whiteson

  • Start: 08:30
  • End: 09:00
  • Location: M R030 (Uni Mail)
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AI-designed detectors: the interplay with object reconstruction

Speaker: Jan Kieseler

  • Start: 9:05
  • End: 9:35
  • Location: M R030 (Uni Mail)
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How stable are our foundations? Challenges facing the evaluation of downstream performance for foundation models in astrophysics

Speaker: Anna Scaife

  • Start: 10:05
  • End: 10:35
  • Location: M R030 (Uni Mail)
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The Vision of End-to-End ML models in High-Energy Physics

Speaker: Lukas Heinrich

  • Start: 10:40
  • End: 11:10
  • Location: M R030 (Uni Mail)
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How good is the Standard Model? Hunting anomalies in the LHC data and beyond

Speaker: Gaia Grosso

  • Start: 11:15
  • End: 11:45
  • Location: M R030 (Uni Mail)
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Machine Learning for Fundamental Physics: from the Smallest to the Largest Scales

Speaker: David Shih

  • Start: 14:15
  • End: 14:45
  • Location: M R070 (Uni Mail)
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On unreasonable efficiency of large language models for science

Speakers: Andrey Ustyuzhanin, Artem Maevskiy

  • Start: 14:50
  • End: 15:35
  • Location: M R070 (Uni Mail)
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Toward Building Large High-Energy Physics Models with Self-Supervised Learning

Speaker: Michael Kagan

  • Start: 16:00
  • End: 16:30
  • Location: M R070 (Uni Mail)
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Fast and furious AI-machines for physics at the LHC

Speaker: Andrea Coccaro

  • Start: 16:35
  • End: 17:05
  • Location: M R070 (Uni Mail)
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Optimal Transport for Transfer Learning and Algorithmic Fairness Problems Arising in High-Energy Physics

Speaker: Mikael Kuusela

  • Start: 17:10
  • End: 17:40
  • Location: M R070 (Uni Mail)
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New approaches in materials design

Speaker: Konstantin Novoselov

  • Start: 18:00
  • End: 19:00 (followed by Apéro)
  • Location: U300 (Uni Dufour)

Who’s Presenting


Konstantin Novoselov

Nobel Laureate, Tan Chin Tuan Centennial Professor, National University of Singapore

Daniel Whiteson

Professor, University of California, Irvine

Anna Scaife

Professor of Radio Astronomy, University of Manchester

Jan Kieseler

Researcher, KIT

Lukas Heinrich

Professor for Data Science for Physics, Technical University Munich

Gaia Grosso

IAIFI Fellow, IAIFI, Boston

David Shih

Professor, Rutgers University

Andrey Ustyuzhanin

Visiting Research Professor, National University of Singapore

Michael Kagan

Fellow, SLAC National Accelerator Laboratory

Andrea Coccaro

Researcher, INFN, Genova

Mikael Kuusela

Assistant Professor, Carnegie Mellon University

Artem Maevskiy

Research Fellow, National University of Singapore


29 September 2023


Location: M R030 (Uni Mail)

04 October 2023


Location: M R070 (Uni Mail)

05 October 2023


Location: U300 (Uni Dufour)



Slava Voloshynovskiy

Professor, Faculty of Science, University of Geneva

Tobias Golling

Professor, Faculty of Science, University of Geneva

Uni Mail

Uni Dufour