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<!DOCTYPE html>
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<title>Anthony Platanios</title>
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<h1 class="title text-center font-weight-bold">Anthony Platanios</h1>
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Research Scientist<br />
Scaled Cognition
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<a style="color: rgb(60, 72, 88);" href="http://www.cs.cmu.edu/" target="_blank">Semantic Machines</a><br/>
<a style="color: rgb(60, 72, 88);" href="http://www.cmu.edu/" target="_blank">Microsoft</a>
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Berkeley Way West, Floor 7<br/>
1919 Shattuck Ave<br/>
Berkeley, CA, 94704
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I am a research scientist at Scaled Cognition and a member of the initial team, where we are developing a new generation of rational, controllable AI models deployable as domain experts for grounded, real-world applications.
<br /><br />
Previously, I was a Senior Principal Researcher at <a href="https://www.microsoft.com/en-us/research/project/semantic-machines/" target="_blank">Microsoft Semantic Machines</a>, where I led the design and development of a system that aims to predict the next user action (e.g., sending an email, opening a file, adding specific people to a calendar invite, etc.) based on what a user and others in their network have been doing (underlying this system was a novel Foundation Model over user actions). I managed a team across both research and engineering, and helped set the technical direction for the broader organization. I invested heavily in aligning research and engineering, and I worked closely with multiple partner teams at Microsoft to deliver on our objectives, while also helping improve the underlying platform and infrastructure that we leveraged. Earlier on in my career at Microsoft I also served as a key contributor to the research and development of the Semantic Machines conversational AI platform which handled user requests by using a neural network to synthesize computer programs in a new proprietary programming language. I designed and shipped the program synthesis neural network (i.e., a contextual semantic parser) that powers the platform.
<br /><br />
Prior to that, I was a PhD student in the <a href="http://www.ml.cmu.edu/" target="_blank">Machine Learning Department</a> of the <a href="https://www.scs.cmu.edu/" target="_blank">School of Computer Science</a> at <a href="http://www.cmu.edu/" target="_blank">Carnegie Mellon University</a>. My advisor was <a href="http://www.cs.cmu.edu/~tom/" target="_blank">Tom Mitchell</a> and I worked on <a href="http://rtw.ml.cmu.edu/rtw/" target="_blank">Never-Ending Learning</a>. My PhD thesis on learning collections of functions can be found <a href="/assets/pdf/thesis/thesis.pdf" target="_blank">here</a>. Throughout my PhD I also worked on <a href="/projects/">multiple other projects</a> related to artificial intelligence and machine learning.
<br /><br />
Before I joined CMU, I graduated with an M.Eng. in <a href="http://www.imperial.ac.uk/electrical-engineering" target="_blank">Electrical and Electronic Engineering</a> from <a href="https://www.imperial.ac.uk/" target="_blank">Imperial College London</a>. For my Master's thesis I proposed a way to use topic modelling methods in order to perform human motion classification.
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Apr 3, 2023
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<p>Joined <a href="https://scaledcognition.com/">Scaled Cognition</a> as a Research Scientist.
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Apr 13, 2020
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<p>Joined <a href="https://www.microsoft.com/en-us/research/group/semantic-machines/">Microsoft Semantic Machines</a> as a Senior Reseacher.
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May 3, 2019
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<p>Organizing the <a href="https://www.amtl-workshop.org">Adaptive & Multi-Task Learning</a> workshop at ICML 2019.
</p>
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May 2, 2019
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<p>Organizing the <a href="https://lld-workshop.github.io">Learning with Limited Labeled Data</a> workshop at ICLR 2019.
</p>
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Jan 14, 2019
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<p>Published a <a href="https://blog.ml.cmu.edu/2018/12/21/contextual-parameter-generation-for-universal-neural-machine-translation/" target="_blank">blog post on contextual parameter generation for machine translation</a>.
</p>
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Oct 25, 2018
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<div class="col-sm-10 mt-2 mt-sm-0 ml-3 ml-md-0 p-0 font-weight-light text">
<p>Released a new version of <a href="http://eaplatanios.github.io/tensorflow_scala" target="_blank">TensorFlow Scala</a> that finally introduces type-safety throughout the graph construction process including autodiff.
</p>
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Dec 1, 2017
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<p>Attending NIPS 2017 and presenting <a href="platanios.org//assets/pdf/platanios_2017_logic/paper.pdf">some of our work on estimating accuracy</a>.
</p>
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Nov 20, 2017
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<p>Organizing the <a href="https://lld-workshop.github.io">Learning with Limited Labeled Data</a> workshop at NIPS 2017.
</p>
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May 26, 2017
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<p>Open sourced the <a href="http://eaplatanios.github.io/tensorflow_scala" target="_blank">TensorFlow Scala</a> library.
</p>
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Jul 29, 2016
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<p>Received the <b>Carnegie Mellon University Presidential Fellowship</b>.
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