MLBBQ: “Are Transformers Effective for Time Series Forecasting?” by Joanne Wardell Published 2024-03-01 Download video MP4 360p Download video MP4 720p Recommendations 47:16 MLBBQ: A U-turn on Double Descent by Sergey Plis 54:22 Transformes for Time Series: Is the New State of the Art (SOA) Approaching? - Ezequiel Lanza, Intel 3:12:13 Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen 47:26 MLBBQ: A graph neural network framework for causal inference in brain networks by William Ashbee 37:25 Max Mergenthaler and Fede Garza - Quantifying Uncertainty in Time Series Forecasting 33:55 A Decoder-only Foundation Model For Time-series Forecasting 35:12 Nixtla: Deep Learning for Time Series Forecasting 42:54 Lecture 13 Time Series Analysis 1:03:05 A Path Towards Autonomous Machine Intelligence with Dr. Yann LeCun 1:13:45 How does TimeGPT stack up? 25:15 Hierarchical Forecasting in Python | Nixtla 45:11 Arvid Kingl: Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting 49:47 “What's wrong with LLMs and what we should be building instead” - Tom Dietterich - #VSCF2023 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 55:58 MLBBQ: last meeting of 2023 "What is the best paper of the year?" 49:53 How a Transformer works at inference vs training time 56:26 Stanford Seminar - Robot Learning in the Era of Large Pretrained Models 52:03 MLBBQ: Gradients without Backpropagation by Pavel Popov 44:23 MLBBQ: "From Sparse to Soft Mixtures of Experts" by Riyasat Ohib 17:49 Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Similar videos 2:05:37 Hiera: 2.6x faster than ViT More results