Events
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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,…
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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…
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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…
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ARNI Biological Learning Working Group
VirtualContinuation of prior meetings. Zoom: Upon request @[email protected]
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CTN: Jack Lindsey (Anthropic)
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: The inner lives of language models Abstract: In recent years, LLMs have evolved from bad text completion engines, to decent chatbots, to digital genies that work miracles on your…
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ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StContinuation from prior meeting. Zoom link: upon request @ [email protected]
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ARNI Distinguished Seminar Series: Ellie Pavlick (Brown University)
Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NYEllie Pavlick (Assistant Professor of Computer Science and Linguistics, Brown University and Director, NSF Institute on Interaction for AI Assistants (ARIA)) Location: ZI Kavli Auditorium 9th Floor Time: 3:00pm Title: (How) Does AI Think? Abstract: The increasingly human-like behavior of AI has led to a fascination with ascribing it human-like internal properties -- notions like…
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Speaker: Ziwei (Sara) Gong – ARNI Language and Vision Working Group
VirtualTitle: Decoding Human Emotions: From Psychological Theories to Multimodal NLP Models Abstract: Understanding and modeling human emotions is essential for natural language processing (NLP) applications, from conversational AI to mental health assessment. This talk explores the intersection of emotion theory, dataset development, and multimodal machine learning, highlighting key challenges and innovations in emotion recognition. We discuss the…