Breakthrough Technologies
Queens, NY – The New York Hall of Science (NYSCI), the AI Institute for Artificial and Natural Intelligence (ARNI), and the Fu Foundation School of Engineering and Applied Science at…
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Saket Navlakha, Associate Professor at Cold Spring Harbor Labs (Available via Zoom) Saket Navlakha, Associate Professor at Cold Spring Harbor Labs, will present his work, "Reducing…
Shihab Shamma
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: The auditory cortex: A sensorimotor fulcrum for speech and music perception Abstract: The Auditory cortex sits at the center of all auditory-motor tasks and percepts, from listening to our…
Continual Learning Working Group – Creative Group Brainstorming Session
CEPSR 620 Schapiro 530 W. 120th StRoberta Raileanu
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Teaching Large Language Models to Reason with Reinforcement Learning Abstract: In this talk, I will discuss how we can use Reinforcement Learning (RL) to improve reasoning in Large Language Models (LLM),…
Lenka Zdeborova (Seminar Speaker)
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Phase transition in learning with neural networks Abstract: Statistical physics has studied exactly solvable models of neural networks for more than four decades. In this talk, we will put…
Postponed Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Lifelong and Human-like Learning in Foundation Models Speaker: Mengye Ren (New York University) Assistant Professor Department of Computer Science Courant Institute of Mathematical Sciences Center for…
CTN: Adam Hantman
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Neural basis for skilled movements Abstract: Generating behavior is an incredible achievement of the nervous system, considering the range of possible actions and the complexity of musculoskeletal arrangements. Motor…
Multi-resource-cost Optimization for Neural Networks Models Working Group (NNMS)
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Scope of the working group, example project, and literature Short Description: From Nikolaus Kriegeskorte's (Professor of Psychology and of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute)…
CTN: Wei Ji Ma
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Efficient coding in reward neurons Abstract: Two of the greatest triumphs of computational neuroscience have been efficient coding accounts of tuning properties of sensory neurons and reinforcement learning accounts…
CTN: Quentin Huys (Seminar Speaker)
To Be DeterminedTitle: Translating computational mechanisms to clinical applications Computational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering…
CTN: Guillaume Hennequin
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: A recurrent network model of planning explains hippocampal replay and human behaviour Abstract: When faced with a novel situation, humans often spend substantial periods of time contemplating possible futures. For…