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Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"


Jun 30, 2020
Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida

* To be published in Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austria, PMLR 119, 2020 

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Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach


Jun 10, 2019
Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi


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Machine Learning at Microsoft with ML .NET


May 15, 2019
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu


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PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers


Mar 05, 2019
Saeed Amizadeh, Sergiy Matusevych, Markus Weimer

* Neuro-symbolic Methods, Neural Combinatorial Optimization, Geometric Deep Learning 

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The Bregman Variational Dual-Tree Framework


Sep 26, 2013
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation


Oct 16, 2012
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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