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



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



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



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



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



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



Saeed Amizadeh , Bo Thiesson , Milos Hauskrecht

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

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