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Jascha Narain Sohl-Dickstein

Anthropic

77 papers hereh-index 6447k citations158 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author3
  • middle author33
  • last author34

Across the 72 of 77 papers where every author was matched, so the position is known.

fields
  • cs.LG39
  • stat.ML20
  • cs.CL6
  • cs.AI5
  • cs.NE4
  • cond-mat.stat-mech1
affiliations
  • Anthropic
Homepage

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedScore-Based Generative Modeling through Stochastic Differential Equations

1.3k citations · 3.3k across the 44 of their papers we have counts for

collaborators
Showing 2019 · stat.MLShow all

3 papers · 2 filters

stat.ML2019★ 57 cited

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Roman Novak, Lechao Xiao, Jiri Hron +4

Neural Tangents is a library designed to enable research into infinite-width neural networks. It provides a high-level API for specifying complex and hierarchical neural network ar…

stat.ML2019

Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz +4

A longstanding goal in deep learning research has been to precisely characterize training and generalization. However, the often complex loss landscapes of neural networks have mad…

stat.ML2019★ 3 cited

Eliminating all bad Local Minima from Loss Landscapes without even adding an Extra Unit

Jascha Sohl-Dickstein, Kenji Kawaguchi

Recent work has noted that all bad local minima can be removed from neural network loss landscapes, by adding a single unit with a particular parameterization. We show that the cor…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.