More from the Same Authors

• 2020 : End-to-End Differentiability and Tensor Processing Unit Computing to Accelerate Materials’ Inverse Design »
  HAN LIU · Yuhan Liu · Zhangji Zhao · Samuel Schoenholz · Ekin Dogus Cubuk · Mathieu Bauchy
• 2021 Spotlight: Revisiting ResNets: Improved Training and Scaling Strategies »
  Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
• 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 : Invited talk: Catherine Nakalembe and Hannah Kerner »
  Catherine Nakalembe · Hannah Kerner · Siddharth Mishra-Sharma
• 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 : 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
• 2021 Poster: Revisiting ResNets: Improved Training and Scaling Strategies »
  Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
• 2020 Poster: FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence »
  Kihyuk Sohn · David Berthelot · Nicholas Carlini · Zizhao Zhang · Han Zhang · Colin A Raffel · Ekin Dogus Cubuk · Alexey Kurakin · Chun-Liang Li
• 2020 Poster: RandAugment: Practical Automated Data Augmentation with a Reduced Search Space »
  Ekin Dogus Cubuk · Barret Zoph · Jonathon Shlens · Quoc V Le
• 2020 Poster: JAX MD: A Framework for Differentiable Physics »
  Samuel Schoenholz · Ekin Dogus Cubuk
• 2020 Spotlight: JAX MD: A Framework for Differentiable Physics »
  Samuel Schoenholz · Ekin Dogus Cubuk
• 2020 Poster: Rethinking Pre-training and Self-training »
  Barret Zoph · Golnaz Ghiasi · Tsung-Yi Lin · Yin Cui · Hanxiao Liu · Ekin Dogus Cubuk · Quoc V Le
• 2020 Oral: Rethinking Pre-training and Self-training »
  Barret Zoph · Golnaz Ghiasi · Tsung-Yi Lin · Yin Cui · Hanxiao Liu · Ekin Dogus Cubuk · Quoc V Le
• 2019 Poster: A Fourier Perspective on Model Robustness in Computer Vision »
  Dong Yin · Raphael Gontijo Lopes · Jonathon Shlens · Ekin Dogus Cubuk · Justin Gilmer
• 2018 Poster: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
  Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow
• 2018 Spotlight: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
  Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow