Structured State Space Models for Deep Sequence Modeling (Albert Gu, CMU) Published 2023-05-26 Download video MP4 360p Recommendations 39:43 Do we need Attention? - Linear RNNs and State Space Models (SSMs) for NLP 40:40 Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained) 16:01 Mamba - a replacement for Transformers? 57:19 Efficiently Modeling Long Sequences with Structured State Spaces - Albert Gu | Stanford MLSys #46 1:14:29 Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math 39:12 A Brief History of Superconducting Quantum Computing | Steven Girvin 40:08 The Most Important Algorithm in Machine Learning 1:06:35 MedAI #41: Efficiently Modeling Long Sequences with Structured State Spaces | Albert Gu 24:37 Neural ODEs (NODEs) [Physics Informed Machine Learning] 1:03:53 Diffusion Models for Solving Inverse Problems (Jiaming Song, NVIDIA) 27:14 But what is a GPT? Visual intro to Transformers | Chapter 5, Deep Learning 39:15 Possible End of Humanity from AI? Geoffrey Hinton at MIT Technology Review's EmTech Digital 13:17 Why Recurrent Neural Networks are cursed | LM2 1:02:17 RWKV: Reinventing RNNs for the Transformer Era (Paper Explained) 45:48 MAMBA AI (S6): Better than Transformers? 1:16:55 Numerics of ML 5 -- State-Space Models -- Jonathan Schmidt 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 1:03:15 Learning to Generate Data by Estimating Gradients of the Data Distribution (Yang Song, Stanford) Similar videos 1:19:37 JAX Talk: Generating Extremely Long Sequences with S4 49:21 #17 - It's Raw! Audio Generation with State-Space Models More results