Events
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Columbia University AI Summit – Reimagining Teaching and Learning in the Age of AI: An AI and Education Forum
Date: Wednesday, March 4, 2026 Time: 9:00 AM - 6:30 PM Location: Faculty Room, Low Memorial Library Address: 535 W. 116th Street, New York, NY 10027 - Visitor Information Overview…
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ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StNext session March 5th
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CTN: Andreas Tolias
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Foundation models of the brain Abstract: You … your memories and ambitions, your sense of personal identity and free will, are in fact no more than the behavior of a vast…
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Speaker: Xuexin Wei ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Constraints of efficient neural computation Abstract: Neural systems adapt to the statistical structure of the environment to support behavior. While it is generally recognized that such adaptation is subject…
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CTN: Farzaneh Najafi
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States -
Speaker: Katherine Xu – Language and Vision Working Group
VirtualTitle: Are Vision-Language Models Checking or Looking? Abstract: Today’s AI vision systems are trained on vast amounts of data, yet it remains unclear whether they simply retrieve memorized answers or actively…
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Speaker: Vijay Balasubramanian ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
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Lecture Series in AI: Richard Zemel
Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NYGeneral website Title: Integrating Past and Present in Continual Learning Abstract: Continual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have…
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ARNI Biological Learning Working Group
Continuation of prior meetings. Zoom: Upon request @[email protected]
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Speaker Josue Ortega Caro: ARNI Frontier Models for Neuroscience and Behavior Working Group
VirtualTime: 30th March. 3pm EST Title: Large scale models for spatiotemporal data. Speaker: Josue Ortega Caro https://josueortc.github.io/ Abstract: Spatiotemporal and multimodal datasets contain structured variability distributed across space, time, and measurement modality, motivating modeling approaches that can learn representations directly from large-scale data. Inspired by video foundational models, we study how the masked autoencoder training objective can…
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Speaker: Hadi Vafaii ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesLocation: ZI L3-079 Time: 1:00pm Title: Metabolic cost of information processing in Poisson variational autoencoders Abstract:Computation in biological systems is fundamentally energy-constrained, yet standard theories of computation treat energy as freely available. Here, we argue that variational free energy minimization under a Poisson assumption offers a principled path toward an energy-aware theory of computation. Our…
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Speaker: Mengye Ren – ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StMengye Ren Mengye will also be giving a talk on continual learning at the Zemel group meeting an hour prior (at 2pm) that working group attendees are welcome to join if interested. Here's the abstract of his talk: Today's AI models primarily acquire knowledge through offline, i.i.d. learning. While in-context learning offers some capacity for online…