LemanTh 2026
After two successful editions in 2024 and 2025, we are delighted to announce the third edition of the Lausanne Event on Machine Learning and Neural Network Theory (LemanTh), which will be held at the Bernoulli Centre at EPFL from 20–24 April 2026.
Over the past decade, machine learning has undergone a remarkable transformation: algorithms now tackle problems and process volumes of data that, not long ago, belonged to the realm of science fiction. This year’s program will focus on the theoretical foundations of machine learning and neural networks, and their deep connections with high-dimensional statistics, statistical physics, and computer science. It will foster discussions at the crossroads of probability theory, statistical physics, optimization, and theoretical computer science.
Schedule
Dates: Monday–Friday, April 20–24, 2026
| Day | Morning (09:00–12:00) |
Afternoon (14:00–16:00) |
Evening |
|---|---|---|---|
| Monday (April 20) |
Scientific Session | Scientific Session | — |
| Tuesday (April 21) |
Scientific Session | Scientific Session | Social Event (invited speakers) Wannaz |
| Wednesday (April 22) |
Scientific Session | Scientific Session | — |
| Thursday (April 23) |
Scientific Session | Social Event: Boat + Yvoire (invited speakers) | Social Event: Boat + Yvoire (invited speakers) |
| Friday (April 24) |
Scientific Session | Scientific Session | — |
Thursday Social Event:
Boat excursion, restaurant lunch, and visit of Yvoire.
Registration
Registration is free, but due to space constraints it is mandatory and on a first come, first served basis.
You can register here.
Venue
Bernoulli Center, EPFL, Lausanne.
Invited speakers
- Francis Bach (INRIA)
- Afonso Bandeira (ETHZ)
- Tony Bonnaire (Saclay)
- Sanjit Dandapanthula (CMU)
- Babak Hassibi (Caltech)
- Niao He (ETHZ)
- Daniel Hsu (Columbia)
- Brice Huang (Stanford)
- Yoshiyuki Kabashima (Tokyo)
- Zahra Kadkhodaie (Flatiron & NYU)
- Yue Lu (Harvard)
- Pierre Marion (INRIA Paris)
- Courtney Paquette (McGill)
- Eliot Paquette (McGill)
- Francisco Pernice (MIT)
- Galen Reeves (Duke)
- Mahdi Soltanolkotabi (USC)
- Nati Srebro (TTIC)
- Takashi Takahashi (Tokyo)
- Nikolaos Tsilivis (NYU)
- Matthieu Wyart (JHU / EPFL)
- Pan Zhang (Chinese Academy of Sciences)
Organisers
- Florent Krzakala (EPFL, IdePhics Lab.)
- Bruno Loureiro (CNRS & DI-ENS)