Converting Neural Networks to Symbolic Models Published 2020-09-05 Download video MP4 360p Recommendations 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 46:13 Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained) 37:05 Brain Criticality - Optimizing Neural Computations 17:38 The moment we stopped understanding AI [AlexNet] 18:40 Yuval Noah Harari: “We Are on the Verge of Destroying Ourselves” | Amanpour and Company 40:08 The Most Important Algorithm in Machine Learning 31:51 Interpretable Machine Learning with SymbolicRegression.jl | Miles Cranmer | JuliaCon 2023 24:07 AI can't cross this line and we don't know why. 3:33:23 GEOMETRIC DEEP LEARNING BLUEPRINT 18:40 But what is a neural network? | Chapter 1, Deep learning 45:38 Data-driven model discovery: Targeted use of deep neural networks for physics and engineering 36:15 Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning 25:28 Dendrites: Why Biological Neurons Are Deep Neural Networks 1:11:10 Predicting the rules behind - Deep Symbolic Regression for Recurrent Sequences (w/ author interview) 19:14 A Neural Network Primer 59:56 Logical Neural Networks: Towards Unifying Statistical and Symbolic AI 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 34:14 Tutorial 1a: Basics of Neurosymbolic Architectures Similar videos 1:01:40 Symbols and Rules with Deep Learning - Ellie Pavlick | Stanford MLSys #54 51:04 Interpretability via Symbolic Distillation 2:15:12 Practical Acausal Component-Based Modeling for Engineering Systems with ModelingToolkit.jl in Julia 2:24:36 Workshop 2: An Introduction to Symbolic Regression with PySR and SymbolicRegression.jl 49:04 AI for physics & physics for AI 30:44 Learning Symbolic Equations with Deep Learning 39:56 The Future of AI is Neurosymbolic 40:50 Interpretable Neural-Symbolic Concept Reasoning (ICML23) 53:11 Stanford Seminar - Deep Learning for Symbolic Mathematics - Guillaume Lample & Francois Charton 1:03:19 Intro to Binarized Neural Networks More results