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Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.
Explore machine learning-based CO2 geological storage modeling, offering real-time insights and significant speedups compared to traditional simulations for efficient decarbonization strategies.
Explore the intersection of Deep Learning, Representation Learning, and Generative AI, examining their relationships and potential synergies in advancing AI technology.
Explore neural network-based weather forecasting with MetNet-3, revolutionizing traditional methods for improved accuracy and reliability across various sectors.
Explore Wiener filters for data comparison in machine learning, enhancing image reconstruction and translation robustness in various applications like compression and generative modeling.
Explore WarpPINN, a physics-informed neural network for cardiac image registration. Learn how it quantifies local heart deformations, improving heart failure diagnosis through advanced strain estimation techniques.
Explore NeuroMANCER, an open-source library for integrating machine learning with scientific computing, solving optimization problems, and creating differentiable models with physics-based constraints.
Explore innovative carbon removal using autonomous seaweed farms that leverage ocean currents. Learn about control and learning methods for efficient, eco-friendly navigation in complex marine environments.
Explore machine learning applications in climate action, focusing on data-driven solutions for environmental challenges and sustainable development.
Explore contrastive learning's foundations, dynamics, and applications in deep models. Gain insights into self-supervised learning, nonlinear analysis, and feature emergence through expert presentation.
Explore innovative techniques for mapping urban forests across North America using advanced data assimilation and machine learning methods.
Explore the integration of data and machine learning in enabling flexible clean energy resources, focusing on local energy markets and flexible loads for climate change mitigation.
Explore AI's impact on fine art through an introduction to explainable fine art, delving into innovative technologies and interdisciplinary perspectives.
Explore graph representation learning techniques for analyzing and understanding complex street network structures.
Explore cutting-edge AI techniques for forecasting solar PV generation, presented by Jacob Bieker from Open Climate Fix. Gain insights into innovative approaches in renewable energy prediction.
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