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#Generative Modeling

Showing: 30 courses
Massachusetts Institute of Technology

Introduction to Deep Learning

12 rewiews
Deep Learning is subset of machine learning focused on extracting patterns from data using neural networks and use those patterns to inform the learning tasks.
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71 Lesons
2 days 7 hours 16 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

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Explore emergent intelligence in AI through unsupervised learning, generative modeling, and self-assembling agents. Discover surprising outcomes beyond explicit programming in representation, video generation, and creature development.
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38 Lesons
58 minutes
On-Demand
Free-Video
Institute for Advanced Study

Generative Modeling by Estimating Gradients of the Data Distribution - Stefano Ermon

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Explore generative modeling through gradient estimation of data distributions, covering deep energy-based models, score matching, and innovative sampling techniques for improved AI generation.
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16 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Lab-in-the-Loop De Novo Antibody Design - What Are We Missing From Machine Learning?

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Explore lab-in-the-loop de novo antibody design, focusing on computational aspects. Discover generative modeling, computational oracles, and active learning in molecular systems research.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Fields Institute

A Dynamical Systems Perspective on Measure Transport and Generative Modeling

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Explore measure transport and generative modeling through a dynamical systems lens, gaining insights into advanced machine learning concepts and their applications.
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1 Lesons
26 minutes
On-Demand
Free-Video
Curtis Holt

Generative Modeling Is Awesome - Blender Experiments

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Explore generative modeling in Blender with step-by-step guidance on creating unique 3D art using modifiers, geometry nodes, and remeshing techniques for stunning visual results.
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12 Lesons
20 minutes
On-Demand
Free-Video
Curtis Holt

Generative Modeling Crash Course for Blender - Geometry Nodes

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Explore advanced geometry nodes techniques for generative modeling in Blender, covering displacement, mapping, texturing, and mesh manipulation for creating complex 3D designs efficiently.
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35 Lesons
40 minutes
On-Demand
Free-Video
Valence Labs

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

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Explore DiffDock, a novel diffusion-based approach to molecular docking that outperforms traditional and deep learning methods in predicting ligand-protein binding structures for drug design.
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11 Lesons
57 minutes
On-Demand
Free-Video
Valence Labs

MFBind - A Multi-Fidelity Approach for Evaluating Drugs in Generative Modeling

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Explore MFBind, a multi-fidelity approach integrating docking and binding free energy simulations for improved drug discovery generative modeling. Learn its advantages over current methods.
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6 Lesons
55 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

DALL-E - Zero-Shot Text-to-Image Generation - Paper Explained

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Explore OpenAI's DALL-E: a groundbreaking AI model that generates images from text descriptions, combining concepts in plausible ways and showcasing emergent image-to-image capabilities.
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14 Lesons
33 minutes
On-Demand
Free-Video
MITCBMM

Generative Model-Based Text-to-Speech Synthesis

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Explore cutting-edge generative modeling techniques for text-to-speech synthesis, covering recent advancements, probabilistic approaches, neural network models, and future directions in speech technology.
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26 Lesons
38 minutes
On-Demand
Free-Video
Alan Turing Institute

Unsupervised Doodling and Painting with Generative Agents

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Explore unsupervised learning in generative art, reinforcement learning agents as image creators, and the potential of AI in artistic tools and creative processes.
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42 Lesons
1 hour 1 minute
On-Demand
Free-Video
Simons Institute

The AI Trinity - Data + Algorithms + Infrastructure

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Explore the AI trinity: data, algorithms, and infrastructure. Learn about named entity recognition, active learning, crowdsourcing, data augmentation, and neural rendering models.
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19 Lesons
53 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

New Approaches in Simulation of Transition Paths - IPAM at UCLA

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Explores tensor methods for simulating chemical transition processes, focusing on compressing high-dimensional PDE functions and introducing a novel tensor-network generative modeling approach without optimization.
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1 Lesons
48 minutes
On-Demand
Free-Video
Andreas Geiger

Learning 3D Reconstruction in Function Space

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Explore neural implicit models for 3D reconstruction, covering occupancy networks, texture fields, and differentiable rendering. Gain insights into cutting-edge techniques and recent advancements in the field.
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23 Lesons
50 minutes
On-Demand
Free-Video
Alan Turing Institute

From Denoising Diffusion Models to Transport for Generative Modeling and Inference

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Explore advanced generative modeling techniques, from denoising diffusion models to transport-based approaches, focusing on diffusion Schrödinger bridge and its numerical approximation for improved inference.
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1 Lesons
44 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Do Quantum Computers Have Applications in Machine Learning and Combinatorial Optimization

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Explores quantum computing's potential in machine learning and optimization, discussing recent developments, comparative power, limitations, and future prospects in these fields.
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1 Lesons
51 minutes
On-Demand
Free-Video
Fields Institute

Non-Euclidean Generative Modeling

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Explore advanced generative modeling techniques beyond Euclidean spaces with Georgia Tech's Molei Tao, delving into innovative approaches for complex data structures.
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1 Lesons
31 minutes
On-Demand
Free-Video
Simons Institute

Symmetries in Machine Learning for Materials Science

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Exploring machine learning techniques incorporating crystallographic symmetries for materials science, enhancing property prediction and discovery of new materials and meta-materials.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Illuminating Protein Space with Generative Models

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Explore generative modeling for protein design, focusing on building learning systems that can generalize, scale, and create fit-for-purpose protein complexes on demand.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Valence Labs

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

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Explore Diffusion Forcing, a novel training paradigm combining next-token prediction and full-sequence diffusion for enhanced sequence generation and decision-making in AI applications.
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4 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Valence Labs

An Optimal Control Perspective on Diffusion-Based Generative Modeling

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Explore optimal control theory's connection to diffusion-based generative modeling. Gain insights into stochastic differential equations, Hamilton-Jacobi-Bellman equations, and novel sampling methods for unnormalized densities.
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12 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Valence Labs

Transport, Variational Inference and Diffusions

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Explore connections between optimal transport and variational inference, focusing on stochastic differential equations and Girsanov transformations. Discover novel sampling and generative modeling techniques.
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7 Lesons
58 minutes
On-Demand
Free-Video
Valence Labs

Action Matching: Learning Stochastic Dynamics from Samples

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Explore Action Matching for learning stochastic dynamics from samples. Discover applications in quantum systems, biology, and generative modeling. Gain insights into novel approaches for simulating trajectories.
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10 Lesons
1 hour 52 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

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Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in debiasing and image synthesis.
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22 Lesons
55 minutes
On-Demand
Free-Video
DataLearning@ICL

Divide (or Convolve) and Conquer: Data Comparison with Wiener Filters

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Explore Wiener filters for data comparison in machine learning, enhancing image reconstruction and translation robustness in various applications like compression and generative modeling.
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1 Lesons
51 minutes
On-Demand
Free-Video
Generative Memory Lab

Planning with Diffusion for Flexible Behavior Synthesis

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Learn flexible behavior synthesis using diffusion models for planning, exploring compositional trajectories, goal-directed planning, and offline reinforcement learning techniques.
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13 Lesons
40 minutes
On-Demand
Free-Video
USC Information Sciences Institute

On Robustness and Generative Modeling

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Explore adversarial training's impact on AI robustness and generative modeling. Gain insights into energy dynamics, robust overfitting, and the connection between robust classifiers and generative capabilities.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
VinAI

Learning with Limited Supervision - Generative Modeling Approaches

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Explore generative modeling approaches for learning with limited labeled data. Discover techniques leveraging prior knowledge for weak supervision in machine learning tasks.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Deep Learning Advances in Uncertainty and Generative Modeling - Session 1

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Explore cutting-edge deep learning research, including Bayesian methods, generative modeling, visual concept programming, conformal regression, and heteroskedastic regression analysis.
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1 Lesons
2 hours 3 minutes
On-Demand
Free-Video