Visualizing Climate Impact with GANs with Sasha Luccioni
EPISODE 413
|
SEPTEMBER
28,
2020
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About this Episode
Today we're joined by Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, and moderator of our upcoming TWIMLfest Panel, ‘Machine Learning in the Fight Against Climate Change.'
We were first introduced to Sasha's work through her paper on ‘Visualizing The Consequences Of Climate Change Using Cycle-consistent Adversarial Networks,' and we're excited to pick her brain about the ways ML is currently being leveraged to help the environment. In our conversation, we explore the use of GANs to visualize the consequences of climate change, the evolution of different approaches she used, and the challenges of training GANs using an end-to-end pipeline.
Finally, we talk through Sasha's goals for the aforementioned panel, which is scheduled for Friday, October 23rd at 1 pm PT. Register for all of the great TWIMLfest sessions here!
About the Guest
Sasha Luccioni
Hugging Face
Resources
- Paper: Visualizing The Consequences Of Climate Change Using Cycle-consistent Adversarial Networks
- Paper: Quantifying the Carbon Emissions of Machine Learning
- Paper: Tackling Climate Change with Machine Learning
- Climate Change AI
- Environmental Impact of Large-Scale NLP Model Training with Emma Strubell
- Consciousness and COVID-19 with Yoshua Bengio
- Paper: HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
- MIT DeepEmpathy
- Electricity Map
