8223 Gates & Hillman
5000 Forbes Avenue
Pittsburgh, PA 15213
Sequential decision making, multi-task learning, deep learning, explainable models. Applications in healthcare, natural language, dialog, multi-agent systems, and general AI.
I got an M.Sc. in Computer Science from KAUST where I worked with Khaled Salama and collaborated with Gert Cauwenberghs on neuromorphic approaches to machine learning. Before that I studied Physics at Lomonosov Moscow State University and Data Analysis at Yandex School of Data Analysis.
|Oct 10, 2017||Technical report on the work this summer at OpenAI is now on arXiv.|
|Jul 31, 2017||Together with William Herlands and Dylan Fitzpatrick, we won a combined five categories in the NIJ Crime Forecasting Challenge.|
|Jun 30, 2017||Spoke with Waleed and Matt on the NLP Highlights podcast about our recent paper on Contextual Explanation Networks. Check it out!|
|May 30, 2017||New preprint: Contextual Explanation Networks. Available on arXiv.|
|May 21, 2017||Spending this summer at OpenAI working with Pieter Abbeel, Yuri Burda, and Igor Mordatch.|
|Nov 15, 2016||GP-LSTMs will be presented at Bayesian Deep Learning workshop.|
|Oct 28, 2016||
Our paper on learning scalable recurrent kernels is now available on arXiv.
Gaussian Processes for Keras: initial code release on Github.
For updates, tutorials, and examples follow the project on GitHub.