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#Autoregressive Models

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Stanford University

Stanford Seminar - Decision Transformer: Reinforcement Learning via Sequence Modeling

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Innovative approach to reinforcement learning using sequence modeling and Transformer architecture, offering simplicity and scalability while matching or exceeding state-of-the-art performance in various tasks.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Stanford University

Deep Generative Models - Autoregressive Models - Lecture 3

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Explore autoregressive models in deep learning, focusing on their architecture, training, and applications in generating sequential data like text and images.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Simons Institute

Distortion-Free Mechanisms for Language Model Provenance - Watermarking and Training Independence

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Explore groundbreaking watermarking techniques and independence testing methods for language models, focusing on text generation provenance and model weight verification.
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1 Lesons
47 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Class - Part 1 - Dr Ioannis Papastathopoulos, University of Edinburgh

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Learn fundamental concepts and advanced techniques for analyzing time series data, including ARMA models, state-space models, and neural networks for forecasting and inference.
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15 Lesons
1 hour 50 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Class - Part 1 - Dr. Ioannis Papastathopoulos, University of Edinburgh

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Learn fundamental concepts and advanced techniques in time series analysis, including ARMA models, state-space models, and neural networks for forecasting and inference.
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15 Lesons
1 hour 51 minutes
On-Demand
Free-Video
Alan Turing Institute

Time Series Class - Part 2 - Professor Chris Williams, University of Edinburgh

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Explore time series analysis, from moving average models to advanced state-space techniques and recurrent neural networks. Gain practical skills in parameter estimation, forecasting, and applying models to real-world data.
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30 Lesons
53 minutes
On-Demand
Free-Video
DataLearning@ICL

Autoregressive Long-Context Music Generation with Perceiver AR

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Explore autoregressive long-context music generation using Perceiver AR, presented by DeepMind's Cătălina Cangea. Gain insights into cutting-edge AI techniques for creating music.
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1 Lesons
1 hour
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

VQ-VAEs - Neural Discrete Representation Learning - Paper + PyTorch Code Explained

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Explore VQ-VAEs for neural discrete representation learning, covering key concepts, implementation details, and applications in generative modeling. Gain insights into this important AI technique.
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11 Lesons
35 minutes
On-Demand
Free-Video
Yannic Kilcher

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

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Explore Parti, a groundbreaking autoregressive text-to-image model. Learn about its architecture, datasets, experimental results, and capabilities in generating realistic, accurate images from text prompts.
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8 Lesons
35 minutes
On-Demand
Free-Video
Yannic Kilcher

Imputer - Sequence Modelling via Imputation and Dynamic Programming

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Explore a novel sequence-to-sequence model that balances efficiency and performance using imputation and dynamic programming for faster inference in various applications.
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1 Lesons
18 minutes
On-Demand
Free-Video
Pascal Poupart

Normalizing Flows - Priyank Jaini

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Explore normalizing flows, density estimation, and autoregressive models. Learn about change of variables, increasing triangular maps, and neural autoregressive flows.
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12 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Prodramp

Text to Image AI Models - Different Methodologies and How It Works

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Explore various AI methodologies for text-to-image generation, including Autoregressive models, GANs, VQ-VAE Transformers, and Diffusion models. Learn their inner workings and compare advanced systems like DALL-E 2 and Google Imagen.
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18 Lesons
18 minutes
On-Demand
Free-Video
Simons Institute

Tractable Control for Autoregressive Language Generation

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Explores using tractable probabilistic models to impose lexical constraints in autoregressive text generation, achieving state-of-the-art performance on constrained text generation benchmarks.
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1 Lesons
47 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Time Series Forecasting with Regression Model

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Learn to implement regression models for long-term and short-term time series forecasting, focusing on trend and seasonality modeling and auto-regressive techniques using the AirPassengers dataset.
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1 Lesons
25 minutes
On-Demand
Free-Video
Oxen

Understanding Text Generation Through Diffusion Models - From Theory to Implementation

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Dive into discrete diffusion modeling for text generation, exploring probability distributions, score-based modeling, and practical applications in generative AI that rival GPT-2's capabilities.
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11 Lesons
42 minutes
On-Demand
Free-Video
Valence Labs

The Continuous Language of Protein Structure

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Explore a novel approach to protein structure generation using continuous autoregressive language models. Learn about innovative techniques for in silico protein design and their potential applications.
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9 Lesons
56 minutes
On-Demand
Free-Video
Google TechTalks

Robust Distortion-free Watermarks for Language Models

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Explore robust watermarking techniques for language models, focusing on edit-resistant methods that preserve text distribution. Learn about key-based protocols and their applications.
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1 Lesons
54 minutes
On-Demand
Free-Video
Probabilistic AI School

Deep Generative Models - Lectures 2 and 3

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Explore advanced deep generative models with expert insights on latest techniques, applications, and theoretical foundations in probabilistic AI.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Probabilistic AI School

Deep Generative Models 1 - Lecture

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Explore deep generative models with experts, covering fundamental concepts and advanced techniques in probabilistic AI. Gain insights into cutting-edge research and applications.
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1 Lesons
2 hours 23 minutes
On-Demand
Free-Video
Simons Institute

Adaptive Data Collection via Autoregressive Generation in News Recommendation Systems

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Discover how autoregressive models can enhance adaptive data collection and decision-making through Thompson sampling, with applications in news recommendation systems and cold-start problems.
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1 Lesons
45 minutes
On-Demand
Free-Video