Jaehoon Lee, Samuel Schoenholz, Jeffrey Pennington, Ben Adlam, Lechao Xiao, Roman Novak, Jascha Sohl-Dickstein · Finite Versus Infinite Neural Networks: an Empirical Study · SlidesLive
Jascha Sohl-Dickstein - YouTube
Jascha Sohl-Dickstein: "Meta-training learned optimize…" - Sigmoid Social
The Physics Principle That Inspired Modern AI Art | Quanta Magazine
Jascha Sohl-Dickstein (263224360) | Mixes on Myspace
Abu Awal Md Shoeb auf LinkedIn: Jascha Sohl-Dickstein on Twitter
Neural Dynamics and Computation Lab
PDF] Density estimation using Real NVP by Laurent Dinh, Jascha Sohl- Dickstein, Samy Bengio · 2962695743 · OA.mg
The state of ML w/ Jascha Sohl-Dickstein of Google Brain REC - Neuro+AI+Consciousness
Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein · Wide Bayesian neural networks have a simple weight posterior · SlidesLive
Jascha Sohl-Dickstein · SlidesLive
Jascha Sohl-Dickstein - CatalyzeX
Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl- Dickstein · Reverse engineering learned optimizers · SlidesLive
Unsupervised Learning | Balderton Capital
Efficient Methods for Unsupervised Learning of Probabilistic Models
Learned optimizers: why they're the future, why they're hard, and what they can do now - IARAI