Seminars

Upcoming Seminars

CSML Machine Learning Lunchtime Seminar Series
Tue, Mar 5, 2024, 12:15 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

CSML Machine Learning Lunchtime Seminar Series
Tue, Apr 9, 2024, 12:15 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Speaker
CSML Machine Learning Lunchtime Seminar Series
Tue, Apr 23, 2024, 12:15 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Speaker
CSML Machine Learning Lunchtime Seminar Series
Tue, May 7, 2024, 12:15 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Speaker

Previous Seminars

Towards more human-like learning in machines: Bridging the data and generalization gaps
Tue, Feb 27, 2024, 12:30 pm

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.

Speaker
CSML Machine Learning Lunchtime Seminar Series
Tue, Feb 6, 2024, 12:15 pm

RSVP to [email protected]

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Speaker
Machine Learning in Physics
Wed, Nov 29, 2023, 4:30 pm

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

Speakers
Algorithms and Incentives in Machine Learning
Wed, Nov 29, 2023, 4:30 pm

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…

Speaker
CITP Virtual Seminar: Miranda Bogen – Closing the Gap: Navigating Complexities and Contradictions In the Mitigation of Algorithmic Bias
Thu, Nov 16, 2023, 12:30 pm

This webinar is open to all via Zoom.

Dozens of policy proposals and interventions have attempted to address actual and potential cases of algorithmic bias, particularly in systems that have consequential effects on people’s lives. While these proposals commonly…

Machine Learning in Physics
Wed, Nov 15, 2023, 4:30 pm

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

Speakers
Machine Learning in Physics
Wed, Nov 1, 2023, 4:30 pm

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

Speakers
Machine Learning in Physics
Wed, Oct 4, 2023, 4:30 pm

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

Speakers
Machine Learning in Physics
Wed, Sep 27, 2023, 4:30 pm

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

Speakers
A Quiet Revolution in Robotics
Tue, Sep 12, 2023, 4:30 pm

Vladlen Koltun received his PhD in 2002 and has worked across multiple fields of computer science. He has mentored more than 50 PhD students, postdocs, research scientists, and PhD student interns, many of whom are now successful research leaders. Until 2021, he had served as the Chief Scientist for Intelligent Systems at Intel, where he built…

Speaker