Super Powering Technical Artists Using Deep Learning
Explore generative models in game development, focusing on style transfer, neural doodling, and image translation. Learn how deep learning enhances technical artistry and animation in Unity.
Risks and Policy of Generative Models
Explore risks and policy implications of generative AI models in this thought-provoking session, examining potential impacts and regulatory considerations.
Advancing Healthcare of Vulnerable Populations Through AI and Wearable Devices
Explore AI and wearable tech advancements in healthcare for vulnerable populations, focusing on neonatal pain assessment and sickle cell disease progression prediction.
Free Energy Minimisation for Perception as Inference
Explores predictive processing theory and free energy principle in perception, comparing Helmholtz machine and message passing approaches to neural inference and consciousness.
Decision Science with Probabilistic Programming
Explore generative models and probabilistic programming for decision-making under uncertainty, integrating with robust optimization techniques to enhance business strategies.
Integrated Information in the Active Inference Framework
Explore how active inference agents integrate information and consciousness through unified perception and action selection, with insights into information-theoretic measures and agent-environment interactions.
Discriminative and Generative Models in Machine Learning - Lecture 24B
Explore the key distinctions between discriminative and generative models in machine learning, focusing on their unique approaches and practical applications.
Generative and Discriminative Models in Machine Learning - Lecture 27B
Explore the fundamental differences between generative and discriminative models in machine learning through a concise high-level introduction to these essential modeling approaches.
Moving Beyond Screening via Generative Machine Learning Models for Materials Discovery
Explore generative machine learning models for materials discovery, moving beyond screening to generate novel structures and chemistries using advanced algorithms and techniques.
Synthetic Data for Computer Vision Problems When Real Annotation Is Too Expensive
Explore synthetic data generation for computer vision tasks when labeled data is scarce. Learn tools and approaches to build effective models using primarily synthetic data.
GENIE: Generative Foundation Models for Automated Climate Science
Explore generative foundation models for automated climate science with Rose Yu's GENIE project, advancing AI applications in environmental research.
Probabilistic Flow Circuits: Towards Deep Models for Tractable Inference - Oral Session 6
Explore a novel approach combining probabilistic circuits with normalizing flows for enhanced expressivity while maintaining tractable inference in deep probabilistic models.
Continual Learning: Adapting Machine Learning to an Evolving World
Explore continual learning in machine learning, addressing dataset drift and real-world challenges. Discover recent advancements, including generative models for anticipating changes in dynamic environments.
LivePortrait - Efficient Portrait Animation with Stitching and Retargeting Control
Innovative framework for video-driven portrait animation, balancing efficiency and control. Utilizes implicit keypoints, large-scale training, and advanced modules for superior performance and speed.
Set Distribution Networks - A Generative Model for Sets of Images
Explores a novel framework for generating and encoding sets of images, introducing Set Distribution Networks that can create new object/identity sets while preserving key attributes.
Denoising and Variational Autoencoders
Explore autoencoders, powerful generative models for dimensionality reduction and data generation. Learn about denoising and variational autoencoders, their applications, and training techniques.
Operationalizing Large Scale Machine Learning on Cloud TPUs with Google Kubernetes Engine
Discover efficient large-scale ML model training using Cloud TPUs and GKE. Learn orchestration techniques, TPU integration, and real-world applications for advanced ML infrastructure.
Unleashing Your Musical Creativity with Magenta.js
Explore musical creativity with Magenta.js, a platform for machine learning in music and art. Learn about generative models, algorithms, and innovative applications like Bach Doodle and Piano Genie.
A Geometric View of Optimal Transport and Generative Models - ICBS 2024
Explore geometric interpretations of optimal transport theory and its application to generative models, analyzing Sora's principles and proposing improvements for physical accuracy.
Quantum-Assisted Machine Learning with Near-Term Quantum Devices
Explore quantum-assisted machine learning applications for near-term devices, focusing on generative models in unsupervised and semi-supervised learning. Discover recent experimental implementations.
New Frontiers for AI-assisted Design and Discovery in Molecular Generation
Explore AI-assisted design for generating molecules with desired properties. Learn about overcoming challenges in combinatorial search, modeling interactions, and segregating representations for improved drug and material discovery.