Upcoming Events
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Abstract: Diffusion models represent a significant breakthrough in generative AI, operating by progressively transforming random noise distributions into structured outputs, with adaptability for specific tasks through guidance or fine…
Graduate students completing certificates in Computational Science & Engineering and Statistics & Machine Learning will give seminars on their dissertation research. Each seminar will be approximately 20 minutes including time for questions from the audience. The event is open to the campus community.
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.
Events Archive
This event is for seniors only, with a maximum capacity of 15-20 students.
Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
Abstract: Structural biology has been transformed by breakthroughs in deep learning methods for protein structure prediction. In parallel, advances in cryo-electron microscopy (cryo-EM) have produced new opportunities to study the structure…
This is an informal event.
Abstract: Despite their increasing sophistication, modern robotic systems still struggle to operate safely and reliably around people in uncertain open-world situations, a key bottleneck to adoption that is perhaps best exemplified by the growing public distrust of early autonomous driving technology. At the same time,…
Lunch available from 12:15pm.
Please RSVP to [email protected] by February 22nd to participate in lunch.
If you wish to participate via Zoom Webinar, we ask that you please register prior to attending.
RSVP to [email protected]
Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM
The Center for Statistics and Machine Learning is offering a three hour Wintersession workshop which aims to increase awareness of how machine learning could aid faculty, postdoc, and student research. No detailed prior knowledge of machine learning is assumed. The workshop will begin with an overview of crucial machine learning ideas and…
The fusion of deep learning and optimization has the potential to deliver outcomes for engineering applications that the two technologies cannot achieve independently. This talk illustrates this potential with the concept of optimization proxy, a differentiable program that can produce feasible (or near-feasibel) and near-optimal solutions to…
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:
Machine learning designs approaches that transform data to predictions or estimations. The standard paradigm often assumes these data are objectively generated from distributions, without being affected by any human factors. However, this paradigm ceases to be true when our predictions or estimated…