More from the Same Authors

• 2021 : CropHarvest: A global dataset for crop-type classification »
  Gabriel Tseng · Ivan Zvonkov · Catherine Nakalembe · Hannah Kerner
• 2021 : Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark »
  Alexandre Lacoste · Evan Sherwin · Hannah Kerner · Hamed Alemohammad · Björn Lütjens · Jeremy Irvin · David Dao · Alex Chang · Mehmet Gunturkun · Alexandre Drouin · Pau Rodriguez · David Vazquez
• 2021 : Inferring dark matter substructure with global astrometry beyond the power spectrum »
  Siddharth Mishra-Sharma
• 2021 : Characterizing γ-ray maps of the Galactic Center with neural density estimation »
  Siddharth Mishra-Sharma · Kyle Cranmer
• 2022 : Contributed talk: Alexandre Adam, "Posterior samples of source galaxies in strong gravitational lenses with score-based priors" »
  Alexandre Adam · Siddharth Mishra-Sharma
• 2022 : Invited talk: Federico Felici, "Magnetic control of tokamak plasmas through Deep Reinforcement Learning" »
  Federico Felici · Siddharth Mishra-Sharma
• 2022 : Contributed talk: Aurélien Dersy, "Simplifying Polylogarithms with Machine Learning" »
  Aurelien Dersy · Siddharth Mishra-Sharma
• 2022 : Invited talk: Vinicius Mikuni, "Collider Physics Innovations Powered by Machine Learning" »
  Vinicius Mikuni · Siddharth Mishra-Sharma
• 2022 : Invited talk: E. Doğuş Çubuk, "Scaling up material discovery via deep learning" »
  Ekin Dogus Cubuk · Siddharth Mishra-Sharma
• 2022 : Contributed talk: Marco Aversa, "Physical Data Models in Machine Learning Imaging Pipelines" »
  Marco Aversa · Siddharth Mishra-Sharma
• 2022 : Invited talk: Hiranya Peiris, "Prospects for understanding the physics of the Universe" »
  Hiranya Peiris · Siddharth Mishra-Sharma
• 2022 : Contributed talk: Kieran Murphy, "Characterizing information loss in a chaotic double pendulum with the Information Bottleneck" »
  Kieran Murphy · Siddharth Mishra-Sharma
• 2022 : Invited talk: David Pfau, "Deep Learning and Ab-Initio Quantum Chemistry and Materials" »
  David Pfau · Siddharth Mishra-Sharma
• 2022 Workshop: Machine Learning and the Physical Sciences »
  Atilim Gunes Baydin · Adji Bousso Dieng · Emine Kucukbenli · Gilles Louppe · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah Thais · Anima Anandkumar · Kyle Cranmer · Lenka Zdeborová · Rianne van den Berg
• 2020 : Discussion Panel with Amanda Coston »
  Amanda Coston · Elaine Nsoesie · Catherine Nakalembe · Santiago Saavedra · Xiaoxiang Zhu · Ernest Mwebaze
• 2020 : Live QA with Catherine Nakalembe »
  Catherine Nakalembe
• 2020 : Invited Talk 5: Earth Observations and Machine Learning for Agricultural Development »
  Catherine Nakalembe
• 2020 Workshop: Tackling Climate Change with ML »
  David Dao · Evan Sherwin · Priya Donti · Lauren Kuntz · Lynn Kaack · Yumna Yusuf · David Rolnick · Catherine Nakalembe · Claire Monteleoni · Yoshua Bengio