Talks

Tutorials

Presentations

2023

  • Beyond test accuracies for studying deep neural networks [slides]
  • Prescient Design’s ML research for lab-in-the-loop antibody design [slides]
    • HY-IBB HY-AIR HY-IPT Joint International Symposium on Data-driven, AI-aided Molecular Modeling and Drug Design
    • OxML 2023
  • Health system scale language models: TED-style talk [slides]
  • Health system scale language models for clinical and operational tasks [slides]
  • A slight-less-magical perspective into autoregressive language modeling: count, compress and prune [slides]
    • Workshop on AI for Thermal Sciences (UC Irvine)
    • ALPS Winter School
  • Introduction to Natural Language Processing [slides]
    • Khipu 2023
  • Prescient Design’s Lab-in-the-Loop de novo antibody design [slides]
  • Generative multitask learning with a target-causing confounder [slides]
    • Aalto University

2022

2021

2020

2019

2018

2017

2016

2015

  • New Territory of Machine Translation. Winter 2015.
  • Keynote Speech at MT Summit XV. Oct 2015.
  • Lost in Interpretability
    • Data Science Lunch Seminar @Center for Data Science, NYU. Sep 2015.
  • Neural Machine Translation and Connectionist Natural Language Processing
    • at Google NYC, Oct 2015.
    • at the University of Maryland, College Park, Sept 2015.
    • at the 3rd Workshop on Continuous Vector Space Models and their Compositionality (CVSC) 2015 @ACL’15, July 2015.
  • Deep Learning: Present, Challenges and Future
    • at the School of Computer and Communications, EPFL, Feb 2015.
    • at the Department of Computer Science, Virginia Tech, Feb 2015.
    • at the School of Informatics, University of Edinburgh, Feb 2015.
    • at the Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, Feb 2015.
    • at the School of Computer Science, Carnegie Mellon University, Mar 2015.
    • at the Department of Computer Science, Tufts University, Mar 2015.
    • at the Mind Research Network, University of New Mexico, Mar 2015.
    • at the School of Electrical Engineering and Computer Science, Washington State University, Apr 2015.

Before 2015

  • First Step toward Neural Machine Translation: Approaches, Challenges and By-Products
    • at IBM Watson R&D Center, US, Sep 2014.
    • at the University of Sherbrooke, Canada, Oct 2014.
    • at Google DeepMind, UK, Oct 2014.
    • at the University of Oxford, UK, Oct 2014.
    • at the University of Cambridge, UK, Oct 2014.
    • at the University of Montreal (Recherche appliquée en linguistique informatique), Nov 2014.
  • Beyond Word Embedding: Learning Phrase Representations with RNN Encoder–Decoder
    • Presented at Samsung Advanced Institute of Technology, Korea, June 2014.
    • Presented at Seoul National University, Korea, June 2014.
  • Deep Neural Networks: Basic Principles in a Nutshell
    • Presented at the Nokia Research Center, Finland. April 2013.