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researcher

Prabhat

3 papers hereh-index 3911.2k citations139 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.DB1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20152017
most citedScalable Bayesian Optimization Using Deep Neural Networks

438 citations · 441 across the 2 of their papers we have counts for

collaborators

3 papers

cs.DB2017★ 3 cited

ArrayBridge: Interweaving declarative array processing with high-performance computing

Haoyuan Xing, Sofoklis Floratos, Spyros Blanas +4

Scientists are increasingly turning to datacenter-scale computers to produce and analyze massive arrays. Despite decades of database research that extols the virtues of declarative…

cs.CV2016

Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

Yunjie Liu, Evan Racah, Prabhat +6

Detecting extreme events in large datasets is a major challenge in climate science research. Current algorithms for extreme event detection are build upon human expertise in defini…

stat.ML2015★ 438 cited

Scalable Bayesian Optimization Using Deep Neural Networks

Jasper Snoek, Oren Rippel, Kevin Swersky +6

Bayesian optimization is an effective methodology for the global optimization of functions with expensive evaluations. It relies on querying a distribution over functions defined b…

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