René's URL Explorer Experiment


Title: Eugene Brevdo

Open Graph Title: Eugene Brevdo

Description: Staff Software Engineer

Open Graph Description: Staff Software Engineer

Mail addresses
ebrevdo@gmail.com

Opengraph URL: https://ebrevdo.github.io/

Generator: Wowchemy 5.3.0 for Hugo

direct link

Domain: ebrevdo.github.io

Hey, it has json ld scripts: 
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://ebrevdo.github.io/?q={search_term_string}",
    "query-input": "required name=search_term_string"
  },
  "url": "https://ebrevdo.github.io/"
}
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Links:

https://ebrevdo.github.io
Eugene Brevdohttps://ebrevdo.github.io/
Eugene Brevdohttps://ebrevdo.github.io/
Homehttps://ebrevdo.github.io/#about
Projectshttps://ebrevdo.github.io/#projects
Experiencehttps://ebrevdo.github.io/#experience
Publicationshttps://ebrevdo.github.io/#publications
Google DeepMind https://deepmind.google/
https://scholar.google.com/citations?user=NvMCACEAAAAJ
https://github.com/ebrevdo
https://www.linkedin.com/in/eugene-brevdo-99a056a/
Peter Ramadgehttps://ece.princeton.edu/people/peter-j-ramadge
Ingrid Daubechieshttps://ece.duke.edu/faculty/ingrid-daubechies
MLGOhttps://github.com/google/ml-compiler-opt
MLGO is a framework for integrating ML techniques systematically in LLVM. It replaces human-crafted optimization heuristics in LLVM with machine learned models. https://github.com/google/ml-compiler-opt
GitHubhttps://github.com/google/ml-compiler-opt
ProtNLMhttps://www.uniprot.org/help/ProtNLM
ProtNLM is a new method used by UniProt to automatically annotate uncharacterized protein sequences. This method works by predicting a short textual description for proteins based solely on their amino acid sequence, using a sequence-to-sequence model. https://www.uniprot.org/help/ProtNLM
Uniprothttps://www.uniprot.org/help/ProtNLM
Reverbhttps://github.com/deepmind/reverb
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research. Reverb is primarily used as an experience replay system for distributed reinforcement learning algorithms but the system also supports multiple data structure representations such as FIFO, LIFO, and priority queues. https://github.com/deepmind/reverb
GitHubhttps://github.com/deepmind/reverb
Synchrosqueezing Toolbox (MATLAB)https://github.com/ebrevdo/synchrosqueezing
This toolbox implements several time-frequency and time-scale analysis methods, including the Forward/Inverse Discretized CWT, and CWT-based Synchrosqueezing. https://github.com/ebrevdo/synchrosqueezing
GitHubhttps://github.com/ebrevdo/synchrosqueezing
TensorFlowhttps://www.tensorflow.org
TensorFlow is an end-to-end open source platform for machine learning. https://www.tensorflow.org
GitHubhttps://github.com/tensorflow/tensorflow
TensorFlow Probabilityhttps://www.tensorflow.org/probability
A library for probabilistic reasoning and statistical analysis. https://www.tensorflow.org/probability
GitHubhttps://github.com/tensorflow/probability
TF Agentshttps://www.tensorflow.org/agents
A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning. https://www.tensorflow.org/agents
GitHubhttps://github.com/tensorflow/agents
TF-Agentshttps://www.tensorflow.org/agents
Tensorflow Probabilityhttps://www.tensorflow.org/probability
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Networkhttps://ebrevdo.github.io/publication/dblp-confnsdi-song-csabcjjsg-23/
Cite https://ebrevdo.github.io
URLhttps://www.usenix.org/conference/nsdi23/presentation/song-zhenyu
Kepler: Robust Learning for Parametric Query Optimizationhttps://ebrevdo.github.io/publication/dblp-journalspacmmod-doshi-zjmhabf-23/
Cite https://ebrevdo.github.io
DOI https://doi.org/10.1145/3588963
URLhttps://doi.org/10.1145/3588963
The Next 700 ML-Enabled Compiler Optimizationshttps://ebrevdo.github.io/publication/dblp-journalscorrabs-2311-10800/
Cite https://ebrevdo.github.io
DOI https://doi.org/10.48550/ARXIV.2311.10800
URLhttps://doi.org/10.48550/arXiv.2311.10800
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Moduleshttps://ebrevdo.github.io/publication/dblp-confmlsys-xie-pbp-0-mblz-22/
Cite https://ebrevdo.github.io
URLhttps://mlsys.org/virtual/2022/oral/2160
Differentiable Architecture Search for Reinforcement Learninghttps://ebrevdo.github.io/publication/dblp-confautoml-miao-scpybf-22/
Cite https://ebrevdo.github.io
URLhttps://proceedings.mlr.press/v188/miao22a.html
ProtNLM: Model-based Natural Language Protein Annotationhttps://ebrevdo.github.io/publication/gane-2022-az/
PDF https://storage.googleapis.com/brain-genomics-public/research/proteins/protnlm/uniprot_2022_04/protnlm_preprint_draft.pdf
Cite https://ebrevdo.github.io
MLGO: a Machine Learning Guided Compiler Optimizations Frameworkhttps://ebrevdo.github.io/publication/dblp-journalscorrabs-2101-04808/
Cite https://ebrevdo.github.io
URLhttps://arxiv.org/abs/2101.04808
Reverb: A Framework For Experience Replayhttps://ebrevdo.github.io/publication/dblp-journalscorrabs-2102-04736/
Cite https://ebrevdo.github.io
URLhttps://arxiv.org/abs/2102.04736
Dynamic control flow in large-scale machine learninghttps://ebrevdo.github.io/publication/dblp-confeurosys-yu-abbbddghhikmm-18/
Cite https://ebrevdo.github.io
DOI https://doi.org/10.1145/3190508.3190551
URLhttps://doi.org/10.1145/3190508.3190551
Tensor2Tensor for Neural Machine Translationhttps://ebrevdo.github.io/publication/dblp-confamta-vaswani-bbcggjkk-18/
Cite https://ebrevdo.github.io
URLhttps://aclanthology.org/W18-1819/
Deep Probabilistic Programminghttps://ebrevdo.github.io/publication/dblp-conficlr-tran-hsb-0-b-17/
Cite https://ebrevdo.github.io
URLhttps://openreview.net/forum?id=Hy6b4Pqee
TensorFlow Distributionshttps://ebrevdo.github.io/publication/dblp-journalscorrabs-1711-10604/
Cite https://ebrevdo.github.io
URLhttp://arxiv.org/abs/1711.10604
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systemshttps://ebrevdo.github.io/publication/dblp-journalscorr-abadi-abbcccdddg-16/
Cite https://ebrevdo.github.io
URLhttp://arxiv.org/abs/1603.04467
The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applicationshttps://ebrevdo.github.io/publication/dblp-journalssigpro-thakur-bfw-13/
Cite https://ebrevdo.github.io
DOI https://doi.org/10.1016/j.sigpro.2012.11.029
URLhttps://doi.org/10.1016/j.sigpro.2012.11.029
Stylistic analysis of paintings using wavelets and machine learninghttps://ebrevdo.github.io/publication/dblp-confeusipco-jafarpour-pbhbd-09/
Cite https://ebrevdo.github.io
URLhttps://ieeexplore.ieee.org/document/7077807/
Image processing for artist identificationhttps://ebrevdo.github.io/publication/dblp-journalsspm-johnson-hbbhdlpw-08/
Cite https://ebrevdo.github.io
DOI https://doi.org/10.1109/MSP.2008.923513
URLhttps://doi.org/10.1109/MSP.2008.923513
Wowchemyhttps://wowchemy.com/?utm_campaign=poweredby
open sourcehttps://github.com/wowchemy/wowchemy-hugo-modules
Copy https://ebrevdo.github.io
Download https://ebrevdo.github.io

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