Jascha Sohl‐Dickstein
About
Jascha Sohl‐Dickstein has authored 63 papers that have received a total of 2.2k indexed citations.
This includes 46 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 11 papers in Statistical and Nonlinear Physics. The topics of these papers are Neural Networks and Applications (16 papers), Gaussian Processes and Bayesian Inference (10 papers) and Machine Learning and Data Classification (10 papers). Jascha Sohl‐Dickstein is often cited by papers focused on Neural Networks and Applications (16 papers), Gaussian Processes and Bayesian Inference (10 papers) and Machine Learning and Data Classification (10 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Jascha Sohl‐Dickstein's co-authors include Jeffrey Pennington, Roman Novak, Samuel S. Schoenholz, Yasaman Bahri and Jaehoon Lee and has published in prestigious journals such as Science, Physical Review Letters and Neuron.
In The Last Decade
Fields of papers published by Jascha Sohl‐Dickstein
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by Jascha Sohl‐Dickstein
Since SpecializationCitations
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