Samuel S. Schoenholz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
4
Active years
2009–2022
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICML | Deep equilibrium networks are sensitive to initialization statistics. | Atish Agarwala, Samuel S. Schoenholz |
| 2022 | ICML | Fast Finite Width Neural Tangent Kernel. | Roman Novak, Jascha Sohl-Dickstein, Samuel S. Schoenholz |
| 2021 | ICML | Learn2Hop: Learned Optimization on Rough Landscapes. | Amil Merchant, Luke Metz, Samuel S. Schoenholz, Ekin D. Cubuk |
| 2021 | ICML | Tilting the playing field: Dynamical loss functions for machine learning. | Miguel Ruiz-Garcia, Ge Zhang, Samuel S. Schoenholz, Andrea J. Liu |
| 2021 | ICML | Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization. | Neha S. Wadia, Daniel Duckworth, Samuel S. Schoenholz, Ethan Dyer, Jascha Sohl-Dickstein |
| 2020 | ICLR | Neural Tangents: Fast and Easy Infinite Neural Networks in Python. | Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz |
| 2019 | ICLR | A Mean Field Theory of Batch Normalization. | Greg Yang, Jeffrey Pennington, Vinay Rao, Jascha Sohl-Dickstein, Samuel S. Schoenholz |
| 2018 | AISTATS | The emergence of spectral universality in deep networks. | Jeffrey Pennington, Samuel S. Schoenholz, Surya Ganguli |
| 2018 | ICLR | Intriguing Properties of Adversarial Examples. | Ekin Dogus Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le |
| 2018 | ICLR | Adversarial Spheres. | Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow |
| 2018 | ICLR | Deep Neural Networks as Gaussian Processes. | Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein |
| 2018 | ICML | Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks. | Minmin Chen, Jeffrey Pennington, Samuel S. Schoenholz |
| 2018 | ICML | Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks. | Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein, Samuel S. Schoenholz, Jeffrey Pennington |
| 2017 | ICLR | Explaining the Learning Dynamics of Direct Feedback Alignment. | Justin Gilmer, Colin Raffel, Samuel S. Schoenholz, Maithra Raghu, Jascha Sohl-Dickstein |
| 2017 | ICLR | Deep Information Propagation. | Samuel S. Schoenholz, Justin Gilmer, Surya Ganguli, Jascha Sohl-Dickstein |
| 2017 | ICML | Neural Message Passing for Quantum Chemistry. | Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl |
| 2009 | ICRA | Specialization as an optimal strategy under varying external conditions. | M. Ani Hsieh, dm M. Halsz, Ekin Dogus Cubuk, Samuel S. Schoenholz, Alcherio Martinoli |