Seminars

Upcoming Seminars

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Previous Seminars

With enough data and the right algorithms is your future predictable? Some evidence from LLMs and complete population-scale data
Tue, Apr 22, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: How predictable are life trajectories? How much can predictability be improved with more data and better algorithms?  What are the sources of inherent unpredictability that seem impossible to overcome in the foreseeable…

Speaker
From Genome to Theorem: Can Large Language Models Do Science?
Tue, Apr 15, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Co-sponsored by AI2 and the Center for Statistics and Machine Learning

Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.

Speaker
Replication for Language Models Problems, Principles, and Best Practice for Political Science
Tue, Apr 8, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: Excitement about Large Language Models (LMs) abounds. These tools require minimal researcher input and yet make it possible to annotate and generate large quantities of data. While LMs are promising, there has been almost no…

Speaker
Cracking the Market Code: Building Large Foundation Models for High-Frequency Trading
Tue, Mar 25, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Co-sponsored by AI2 and the Center for Statistics and Machine Learning

Abstract: In this talk, I will delve into the exciting research opportunities and unique challenges of building large foundation models for high…

Speaker
Self-Supervised Reinforcement Learning: Some Surprises and Open Problems
Tue, Mar 18, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: TBD

Contributions to and/or sponsorship of any event does not constitute departmental or institutional endorsement of the specific program, speakers or views presented.

Speaker
What does Generative AI Mean for the Hardware that has to Ultimately Run It?
Tue, Feb 25, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: Generative AI has the potential to transform the efficiency of critical processes in broad domains, ranging from healthcare, to education, to logistics. However, such transformations require holistic integration of AI systems…

Speaker
The Reach of Fairness: From Algorithmic Justice to Experimental Design
Tue, Feb 18, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Co-sponsored by CITP and the Center for Statistics and Machine Learning

As AI systems increasingly shape critical decisions in society, ensuring fairness presents both philosophical and practical challenges. This talk begins by broadening the…

Speaker
Beyond Transformers: Neural Architectures Inspired by Dynamical Systems
Tue, Feb 4, 2025, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: Can we build neural architectures that go beyond Transformers by leveraging principles from dynamical systems? In this talk, I will introduce a novel approach to sequence modeling that draws inspiration from the emerging…

Speaker
New methods for tracking and control of dynamic animal behavior during learning
Tue, Dec 10, 2024, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

This talk will feature discussions from Jonathan Pillow and Helena Liu.

The process of learning new behaviors is of great interest in neuroscience and artificial intelligence. However, most standard analyses of training data either…

Speaker
Probing Learning in the Brain through Deep Learning Frameworks
Tue, Dec 10, 2024, 12:00 pm

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

This talk will feature discussions from Jonathan Pillow and Helena Liu.

Abstract: Building on insights into behavioral learning discussed earlier, we will delve into the synaptic mechanisms underlying the brain's…

Speaker