The Learning Workshop 2025
April 6 - April 10, 2025
La Libertad, El Salvador
5th Annual Gathering
The Learning Workshop is a selective gathering for junior researchers in machine learning, offering a
platform to share exciting and unpublished ideas. Set in the picturesque backdrop of La Libertad, El Salvador
from April 6th - April 10th, 2025, this 3-day workshop is an assembly of
approximately 20 individuals comprising students,
early-career professors, and industry professionals. Each attendee will have an opportunity to showcase their
thoughts in a 15-minute presentation, paving the way for an engaging
45-minute Q&A session.
These talks should veer away from published works and focus on problems rather than solutions,
emphasizing potential challenges ripe for breakthroughs in the coming 2-4 years.
The workshop aims to promote deep and exploratory dialogues. All presentations and discussions
are off the record.
Holding inclusivity at its core, the workshop is a committed to equal representation across diverse genders, races,
and nationalities.
Past attendes have included researchers at Google Research, DeepMind, OpenAI, The Allen Institute, Meta AI Research,
Waymo, Berkeley AI Research Lab, Stanford University, MIT, NYU, Princeton University, Harvard University,
Oxford University, and more. Tracing its lineage, The Learning Workshop is a nod to its predecessor
at Snowbird, which later evolved into the iconic NeurIPS conference.
Organizers
This year the Learning Workshop is organized by Eugene Vinsky,
Yuqing Du,
Lisa Schut, and
Martin Arjovsky.
Previous Workshops & Attendees
- Chris Lu, University of Oxford
- Clare Lyle, DeepMind
- Eugene Vinitsky, New York University
- Jonathan Frankle, Databricks
- Lisa Schut, University of Oxford
- Luke Metz, OpenAI
- Martin Arjovsky, DeepMind
- Michael Dennis, DeepMind
- Patrick Emedom-Nnamdi, Harvard University
- Rose Wang, Stanford University
- Sam Sokota, Carnegie Mellon University
- Will Whitney, DeepMind
- Yuqing Du, DeepMind
- Luke Metz, OpenAI
- Victoria Dean, Carnegie-Mellon University
- Abishek Das, Meta AI
- Jesse Dodge, Allen Institute for AI
- Jackie Kay, DeepMind
- Jonathan Frankle, Harvard University & Mosaic AI
- Clare Lyle, DeepMind
- Martin Arjovsky, DeepMind
- Eugene Vinitsky, New York University
- Will Whitney, DeepMind
- Emma Strubell, Carnegie-Mellon University
- Cinjon Resnick, New York University
- Shiori Sagawa, Stanford University
- Ishaan Gulrajani, Stanford University
- Tegan Maharaj, Vector Institute
- Patrick Emedom-Nnamdi, Harvard University
- Amy Zhang, UT Austin
- Amy Zhang, UT Austin
- Will Whitney, DeepMind
- Kelsey Allen, DeepMind
- Cinjon Resnick, New York University
- Martin Arjovsky, DeepMind
- Becca Roelofs, Google Brain
- Miles Cranmer, Flatiron Institute
- Jakob Foerster, Oxford University
- Jesse Dodge, Allen Institute for AI
- Kalesha Bullard, DeepMind
- Amlan Kar, Nvidia
- Allan Jabri, UC Berkeley
- Luke Metz, Google Brain
- Rosanne Liu, Google Brain
- Vincent Sitzmann, MIT
- Andres Campero, MIT
- Ishaan Gulrajani, Stanford University
- Xinyi Chen, Princeton University
- MH Tessler, DeepMind
- Jackie Kay, DeepMind
- Sophie Bridgers, MIT
- Will Whitney, New York University
- Natasa Tagasovska, EPFL
- Cinjon Resnick, New York University
- Amy Zhang, Facebook AI Research
- Martin Arjovsky, INRIA / École Normale Supérieure
- Greg Yang, Microsoft
- Jakob Foerster, Oxford University
- Andrés Campero, MIT
- Antonio Terán, MIT
- Tegan Maharaj, MILA
- Ishaan Gulrajani, Stanford University
- Candace Ross, MIT
- Luke Metz, Google Brain