CLEPS22

10/6/22 Session 1 (Venue: Bartos Theater)

13:30 Sai Ravela (MIT)
Introduction to CLEPS -- Information-Inference Couplings in Climate, Life, Earth and Planets

14:00 Claire Monteleoni (CU)
AI Research for Climate Change and Environmental Sustainability

14:30 Anuj Karpatne (Virginia Tech)
Knowledge-guided Machine Learning: Advances in An Emerging Field Combining Scientific Knowledge with Machine Learning.

10/6/22 Session 2(Venue: Bartos Theater)

15:15 William Blackwell (MIT-LL)
New Systems for Intelligent Atmospheric Sensing from Space: CREWSR and VIDEO

15:45 Stefano Ermon (Stanford)
Monitoring and Accelerating Sustainable Development with AI

16:15 Mayank Ojha and Miho Mazereeuw (MIT)
Localizing Climate Impacts for Sustainable Strategies

16:45 Aruna Sankaranarayanan (MIT)
The role of social-media advertising algorithms in mediating the climate discourse

 

10/7/22 Session 3(Venue: Bartos Theater)

13:30 Tijana Janjic (LMU)
Learning from observations by combining data assimilation and machine learning

14:00 Nishant Yadav (Microsoft)
Deep Gaussian Processes for Parameter Estimation and Uncertainty Quantification in Nonlinear Dynamical Systems - Applications to Earth System Modeling

14:30 Peetak Mitra (PARC)          
Modeling our future: Advancing climate research and optimization intervention strategies using AI

15:00 Rose Yu (UCSD)
Improving Generalization in Learning Spatiotemporal Dynamics

10/8/22 Session 4(Venue: Bartos Theater)

13:30 Andrew Vanderburg (MIT)              
Enhancing Exoplanet Discovery with Deep Learning: Progress and Paths Forward

14:00 Anamitra Saha (MIT)
Dynamic Data Driven Downscaling

14:30 Hongyu Sun (Caltech)
Beyond Correlations: Deep Learning for Seismic Interferometry

 

10/8/22 Session 5(Venue: Bartos Theater)

15:15 Genevieve Patterson (Climate.AI) 
Exploring the Deep with Active Learning

15:45 Michael Howland (MIT)    
Cooperative control of utility-scale wind farms through flow modeling, uncertainty quantification, and optimization

16:15 Hari Prasanna Das (Berkeley)         
Data-Efficient Machine Learning for Smart and Energy-Efficient Buildings

 

10/9/22 Session 6(Venue: Bartos Theater)

9:15 Bryan Low (NUS)    
Data-Efficient Automated Machine Learning (AutoML) for High Performance Precision Agriculture (HiPPA)

9:45 Saket Anand (IIIT)  
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Key Cropping Parameters

10:15 Raf Ferrari (MIT) 
Climate and Computation (TBD)

 

10/10/22 Panel Sessions (VENUE: 1-190)

9:15 Wildfire Modeling and Risk (NASA) 

13:30 Seismic and Nuclear Explosion Monitoring Panel (ARA)
Eli Baker(AFRL), Karianne Bergen (Brown), Abdullah Mueen (UNM), Delaine Reiter (ARA), William Rodi  (MIT),  Jesse Williams (GTC), TBD (AFTAC).