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Machine Learning and Friends Lunch

Machine Learning and Friends Lunch: Xinya Du, Synergizing Knowledge and Large Language Models

In this talk, Xinya Du will discuss his research on synergizing LMs and knowledge.
Event date Thursday, September 26, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Agustinus Kristiadi, Probabilistic Inference and Decision-Making With and For Foundation Models

Agustinus Kristiadi is a postdoctoral fellow at the Vector Institute and previously obtained his PhD from the University of Tuebingen in Germany.
Event date Thursday, October 17, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Claudia Shi, Novel Problems, Classic Solutions: Understanding LLMs Through the Lens of Statistics

In this talk, Shi will present two recent projects that use statistical methods to deepen our understanding of LLMs.
Event date Thursday, November 7, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Silvia Sellán (Columbia University), Stochastic Computer Graphics

Silvia Sellán (Columbia University) will advocate for a perspective shift that allows us to design algorithms directly for safety-critical applications.
Event date Thursday, October 3, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Alex Wong, The Know-How of Multimodal Depth Perception

Training deep neural networks requires tens of thousands to millions of examples, so curating multimodal vision datasets amounts to numerous man-hours.
Event date Thursday, October 24, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Andrew Wu, Marabou 2.0: A Versatile Formal Analyzer of Neural Networks

Join Andrew Wu for a presentation on version 2.0 of Marabou, a toolkit for formally verifying user-defined properties on deep neural networks.
Event date Thursday, November 14, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Yixin Wang, Causal Inference with Unstructured Data

Causal inference traditionally involves analyzing tabular data where variables like treatment, outcome, covariates, and colliders are manually labeled by humans
Event date Thursday, September 12, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Xiaolong Wang, Learning Humanoid Robots

The Machine Learning and Friends Lunch series continues with Xiaolong Wang's "Learning Humanoid Robots."
Event date Thursday, October 10, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Boqing Gong, From Domain Adaptation to VideoPrism: A Decade-Long Quest for Out-of-Domain Visual Generalization

This talk explores the challenges of out-of domain (OOD) generalization in computer vision, encompassing tasks like domain adaptation.
Event date Thursday, October 31, 2024 Event time 12:00 pm Go to all events list Event

Machine Learning and Friends Lunch: Chen Sun, Grounding Deep Generative Models in the Physical World

Machine Learning and Friends Lunch
Event date Thursday, November 21, 2024 Event time 12:00 pm Go to all events list Event

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