Upcoming Events
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
Abstract: Transformers have become the dominant neural network architecture in deep learning, in particular with the GPT language models. While they dominate in language and vision tasks, their performance is less convincing in so-called “reasoning” tasks.
In this talk, we introduce the “generalization on the…
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
The Symposium will bring together neuroscientists and computer scientists at Princeton who work on problems cutting across the boundaries of biological and artificial intelligence systems.
Thursday, October 19, 2023 4PM-8PM
Friday,…
- Affiliation
- Affiliation
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.
What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications
- AffiliationCCA, Flatiron Institute
- AffiliationVector Institute for Artificial Intelligence
- AffiliationUniversity of California San Diego
- AffiliationMIT Physics
- AffiliationPrinceton Physics and Neuroscience
Events Archive
Rationality, heuristics, and cost of computation
When viewed from the perspective of computer science, it’s natural to ask “How are people so smart?”: human beings still set the standard we aspire to in many areas of machine learning and artificial intelligence research, from high-level perception to language to causal…
The conference will be on Friday, September 18, 2015 in McDonnell Hall A02 (for the lectures) and the Brush Gallery (for the breaks). Please see the conference web site for information on including…
Sponsored by the Keller Center, School of Engineering and Applied Science, Department of Computer Science, and the Center for Statistics and Machine Learning.
One of the grand challenges of our era is the attempt to bring computational and statistical ideas together in a theoretically- grounded framework for scalable statistical inference. This is made challenging by the lack of a role for computational concepts such as "runtime"…
