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80 videos found
(De)regularized Wasserstein Gradient Flows via Reproducing Kernels
01:00:42
(De)regularized Wasserstein Gradient Flows via Reproducing Kernels
179views
Foundations,
Machine Learning,
Optimization for ML & AI Seminar Series
TILOS Seminar: Neuromorphic LLMs
00:50:53
TILOS Seminar: Neuromorphic LLMs
212views
Foundations,
Machine Learning,
TILOS Seminar Series
TILOS-MICS Seminar: AI-Driven Design Automation for Multi-Chip Integration in AI Chips
00:56:10
TILOS-MICS Seminar: AI-Driven Design Automation for Multi-Chip Integration in AI Chips
177views
Chip Design,
TILOS Seminar Series
Extended Convex Lifting for Policy Optimization in Control
00:55:51
Extended Convex Lifting for Policy Optimization in Control
95views
Optimization for ML & AI Seminar Series
TILOS Seminar: Kinetic Theory Perspective of Foundation Models for Physics
01:01:36
TILOS Seminar: Kinetic Theory Perspective of Foundation Models for Physics
189views
Foundations,
Panel Discussions,
TILOS Seminar Series
Title slide for a presentation by Dr. Joel Tropp titled "Subspace Injections"
00:58:24
Randomized Linear Algebra with Subspace Injections
151views
Foundations,
Optimization for ML & AI Seminar Series
Title slide for a presentation by Dr. Yi Wu titled "Incentivizing Emergent Behaviors for LLMs"
01:03:16
TILOS Seminar: Incentivizing Emergent Behaviors for LLMs via Reinforcement Learning
193views
Machine Learning,
TILOS Seminar Series
Stochastic-Gradient and Diagonal-Scaling Algorithms for Constrained Optimization and Learning
00:55:54
Stochastic-Gradient and Diagonal-Scaling Algorithms for Constrained Optimization and Learning
178views
Foundations,
Machine Learning,
Optimization for ML & AI Seminar Series
Training Neural Networks at Any Scale
01:00:09
Training Neural Networks at Any Scale
136views
Machine Learning,
Optimization for ML & AI Seminar Series
TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product
00:53:16
TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product
179views
Robotics,
TILOS Seminar Series
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This project is supported by the U.S. National Science Foundation under CCF-2112665. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation.

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