Properties (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Person
|
| gptkbp:affiliation |
gptkb:Google_Brain
|
| gptkbp:awards |
Best Paper Award
|
| gptkbp:birthPlace |
gptkb:United_States
|
| gptkbp:birthYear |
1985
|
| gptkbp:collaboratedWith |
D._P._Kingma
|
| gptkbp:collaborations |
gptkb:Abhishek_Gupta
gptkb:Dario_Amodei gptkb:Ian_Goodfellow |
| gptkbp:contribution |
Deep Learning
Variational Inference |
| gptkbp:education |
gptkb:University_of_California,_Berkeley
PhD_in_Computer_Science |
| gptkbp:field |
Artificial Intelligence
Machine Learning |
| https://www.w3.org/2000/01/rdf-schema#label |
Jascha Sohl-Dickstein
|
| gptkbp:influenced |
Deep_Learning_community
|
| gptkbp:influencedBy |
gptkb:Geoffrey_Hinton
gptkb:Yoshua_Bengio gptkb:David_Ha |
| gptkbp:knownFor |
Generative Models
Research in machine learning |
| gptkbp:nationality |
American
|
| gptkbp:notableWork |
Variational Inference
|
| gptkbp:occupation |
Researcher
|
| gptkbp:patentDescription |
Deep_Learning_and_Variational_Inference
|
| gptkbp:publications |
gptkb:Generative_Adversarial_Networks
Auto-Encoding Variational Bayes Deep Generative Models Variational Inference for Probabilistic Graphical Models Variational Inference for Deep Learning Variational Inference for Graphical Models Variational Inference for Hidden Markov Models Variational Inference for Time Series Models Neural Variational Inference and Learning in Belief Networks Bayesian Deep Learning Learning Deep Generative Models Stochastic Variational Inference Variational Inference for Deep Learning Models Variational Inference for Generative Models Variational Inference for Non-Conjugate Models Variational Inference for Reinforcement Learning Variational_Inference_for_Bayesian_Deep_Learning Variational_Inference_for_Bayesian_Networks Variational_Inference_for_Dynamic_Systems Variational_Inference_for_Latent_Variable_Models Variational_Inference_for_Machine_Learning Variational_Inference_for_Neural_Networks Variational_Inference_for_Probabilistic_Models Variational_Inference_for_Structured_Prediction Variational_Inference_in_Bayesian_Neural_Networks Variational_Inference_via_Stochastic_Gradient_Descent Variational_Inference_for_Neural_Networks_and_Deep_Learning |
| gptkbp:publishes |
Deep_Unsupervised_Learning_using_Nonequilibrium_Thermodynamics
|
| gptkbp:researchInterest |
Generative Models
Probabilistic_Models |
| gptkbp:website |
jaschasohl-dickstein.com
|