Resources

Sparks of Artificial General Intelligence: Early experiments with GPT-4 2023/03/27 - 11:57am Academic Paper Artificial Intelligence, Machine Learning, Artificial General Intelligence, GPT4, Language Models, Large Language Models, ChatGPT, Computation and Language
Deep Reinforcement Learning from Human Preferences 2023/03/15 - 9:04am Academic Paper Artificial Intelligence, Machine Learning, Reinforcement Learning Systems, Human Preferences, Deep Reinforcement Learning, Multiagent Systems, Reward Model, Goodhart’s Law
Scaling Laws for Reward Model Overoptimization 2023/03/13 - 1:34pm Academic Paper Artificial Intelligence, Machine Learning, Scaling Laws, Deep Reinforcement Learning, Multiagent Systems, Reward Model, Goodhart’s Law
PaLM-E: An Embodied Multimodal Language Model 2023/03/12 - 12:48am Academic Paper Artificial Intelligence, Machine Learning, Robotics, Language Models, Multimodal Language Model
Foundation Models for Decision Making: Problems, Methods, and Opportunities 2023/03/10 - 12:57am Academic Paper Artificial Intelligence, Machine Learning, Foundation Models, Decision Making, Language Models
Emergent Abilities of Large Language Models 2023/03/09 - 12:53am Academic Paper Artificial Intelligence, Machine Learning, Language Models, Multimodal Language Model, Computation and Language
AI, Neuroscience and Architecture 2023/03/08 - 11:20pm External Course Artificial Intelligence, Machine Learning, Neuroscience, Architecture
Machine Learning - Random Forests 2023/03/07 - 10:47am External Course Machine Learning, Random Forests, Algorithms
Application of Kelly Criterion in Investing / Trading Strategies 2023/03/06 - 5:29pm External Course Investing, Trading, Data Science, Applied Data Science, Probabilistic Logic, Information Theory, Kelly Criterion, Finance
Suppressing Quantum Errors by Scaling a Surface Code Logical Qubit 2023/03/06 - 5:07pm Academic Paper Quantum Computing, Quantum Computer, Quantum Error Correction, Logical Qubit Performance, Surface Code Logical Qubit
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies 2023/03/06 - 4:34pm Academic Paper Artificial Intelligence, Machine Learning, Finance, Portfolio Management, Trading, Market Microstructure, Jointly Learning Time-Series, Cross-Sectional Strategies
Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish 2023/03/06 - 11:55am Academic Paper Artificial Intelligence, Machine Learning, Organoid Intelligence, Biocomputing, Microphysiological Systems, Electrophysiology, Cognition
Monte Carlo Statistical Methods 2023/03/05 - 11:21am External Course Monte Carlo Statistical Methods, Statistical Analysis, Monte Carlo Simulations, Statistical Models, Likelihood Models, Bayesian Models, Deterministic Numerical Models, Simulation Methods, Numerical Methods
Optimal Algorithms for Learning Bayesian Network Structures 2023/03/04 - 10:53pm External Course Algorithms, Bayesian Network Structures
How to Learn an Algorithm 2023/03/04 - 11:52am External Course Algorithms, Machine Learning, Algorithm Selection
What AI is and isn't - What AI can do, and what it cannot 2023/03/01 - 11:16pm External Course Artificial Intelligence, Machine Learning, Deep Learning, Symbolic AI
Gary Marcus on Artificial Intelligence and Common Sense 2023/03/01 - 11:14pm External Course Artificial Intelligence, Machine Learning, Deep Learning, Symbolic AI
Rebooting AI - Gary Marcus 2023/03/01 - 11:08pm Video Artificial Intelligence, Machine Learning
Big Data and Machine Learning on OpenStack 2023/03/01 - 6:53pm External Course Machine Learning, OpenStack
The Data Science Revolution 2023/03/01 - 4:11pm External Course Data Science, Exponential Finance, Quantitative Finance, Finance
Machine Learning Story about Ponies 2023/03/01 - 2:06pm External Course Machine Learning
Towards Universal Fake Image Detectors that Generalize Across Generative Models 2023/02/21 - 4:29pm External Course Artificial Intelligence, Machine Learning, Computer Vision and Pattern Recognition, Image Analysis, Image Detectors, Fake Images
Learning Deep Semantics for Test Completion 2023/02/21 - 4:25pm Academic Paper Artificial Intelligence, Machine Learning, Software Engineering, Test Completion, Deep Neural Networks, Programming Language Semantics
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey 2023/02/21 - 4:11pm Academic Paper Artificial Intelligence, Machine Learning, : Multi-modal, Pre-trained Model, Information Fusion, Representation Learning, Deep Learni
Tensor Networks Meet Neural Networks: A Survey 2023/02/21 - 4:07pm Academic Paper Artificial Intelligence, Machine Learning, Tensor Networks, Neural Networks, Network Compression, Information Fusion, Quantum Circuit Simulation
Wealth Management - Goals-Based Application of Fragility Detection Theory 2023/02/20 - 11:36pm External Course Wealth Management, Fragility Detection Theory, Portfolio Management, Risk Management
Quantifying the Behavior of Stock Correlations Under Market Stress: DSA ADS Course - 2023 2023/02/20 - 10:40pm External Course Investing, Trading, Complex Systems, Applied Data Science, Probabilistic Logic, Stock Correlations, Market Stress, Finance
James Simons - Interview 2023/02/20 - 9:56pm Video Physics, Finance, Trading, James Simons
Multifractal Geometry in Stock Market Time Series - DSA External Course 2023 2023/02/20 - 12:59pm External Course Fractals, Multifractals, Time Series, Finance, Trading, Stocks, Takens Theorem, Chaos Theory, Chaotic Dynamical System, Portfolio Management
The Case for an Unmanaged Investment Company 2023/02/20 - 12:10pm External Course Finance, Portfolio Management, Investment, Index Funds
Application of Probability Theory in Investing / Trading Strategies 2023/02/20 - 9:27am External Course Investing, Trading, Data Science, Applied Data Science, Probabilistic Logic, Information Theory, Bayesian Probability, Finance
Fraud Detection in Real-Time with Graphs 2023/02/14 - 10:39am External Course Fraud Detection, Real-Time, Graphs
Statistical and Causal Approaches to Machine Learning 2023/02/13 - 9:47pm External Course Machine Learning
Closed-form Continuous-time Neural Networks 2023/02/10 - 11:50am Academic Paper Artificial Intelligence, Machine Learning, Liquid Time-constant Networks, Recurrent Neural Network, Time-continuous Recurrent Neural Network, Neural and Evolutionary Computing
Liquid Time-constant Networks 2023/02/10 - 11:42am Academic Paper Artificial Intelligence, Machine Learning, Liquid Time-constant Networks, Recurrent Neural Network, Time-continuous Recurrent Neural Network, Neural and Evolutionary Computing
Data Science - Part XIII - Hidden Markov Models 2023/02/09 - 10:16pm External Course Data Science, Hidden Markov Models
Visualizing and Understanding Deep Neural Networks 2023/02/08 - 11:54am External Course Deep Neural Networks, Matt Zeiler
Deep Learning for Predicting Human Strategic Behavior 2023/02/03 - 1:00pm Academic Paper Machine Learning, Deep Learning, Prediction, Predicting Human Strategic Behavior, Game Theory
Introduction to Neural Networks in Python 2023/02/01 - 6:52pm External Course Neural Networks, Python, TensorFlow, Keras, Data Science
Optimal Decision Tree Policies for Markov Decision Processes 2023/01/30 - 10:49pm Academic Paper Artificial Intelligence, Machine Learning, Decision Tree Policies, Markov Decision Processes, Markov Chains
Streaming Anomaly Detection 2023/01/30 - 10:46pm Academic Paper Artificial Intelligence, Machine Learning, Streaming, Anomaly Detection, Anomaly Detection Algorithms
Prediction of Customer Churn in Banking Industry 2023/01/30 - 10:42pm Academic Paper Artificial Intelligence, Machine Learning, Customer Churn, Banking
Zero-One Laws of Graph Neural Networks 2023/01/30 - 10:40pm Academic Paper Artificial Intelligence, Machine Learning, Graph Neural Networks
Machine Learning Approach for Player and Position Adjusted Expected Goals in Football (Soccer) 2023/01/30 - 10:37pm Academic Paper Artificial Intelligence, Machine Learning, Football, Soccer, Sports Analytics
Lectures on Causality: Jonas Peters, Part 1 2023/01/27 - 8:41pm External Course Causality, Prediction, Inference, Algorithms, Causal Inference, Structural Causal Models, Interventional Distributions
Lectures on Causality: Jonas Peters, Part 2 2023/01/27 - 7:42pm External Course Causality, Prediction, Inference, Algorithms, Causal Inference, Structural Causal Models, Interventional Distributions
Lectures on Causality: Jonas Peters, Part 3 2023/01/27 - 6:44pm External Course Causality, Prediction, Inference, Algorithms, Causal Inference, Structural Causal Models, Interventional Distributions
Lectures on Causality: Jonas Peters, Part 4 2023/01/27 - 12:45pm External Course Causality, Prediction, Inference, Algorithms, Causal Inference, Structural Causal Models, Interventional Distributions
1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19 2023/01/26 - 1:07pm Academic Paper Artificial Intelligence, Machine Learning, Convolutional Neural Networks, Spectral Data Classification, COVID-19, Spectroscopy
Imitating Human Behaviour with Diffusion Models 2023/01/26 - 1:03pm Academic Paper Artificial Intelligence, Machine Learning, Robotics, Human-AI Collaboration, Human Computer Interaction, Human Augmentation, Diffusion Models

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