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02/25/2022
Equilibrium Aggregation: Encoding Sets via Optimization
Processing sets or other unordered, potentially variable-sized inputs in...
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07/21/2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
Large Neighborhood Search (LNS) is a combinatorial optimization heuristi...
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05/06/2021
Computer-Aided Design as Language
Computer-Aided Design (CAD) applications are used in manufacturing to mo...
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12/23/2020
Solving Mixed Integer Programs Using Neural Networks
Mixed Integer Programming (MIP) solvers rely on an array of sophisticate...
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10/07/2019
Meta-Learning Deep Energy-Based Memory Models
We study the problem of learning associative memory – a system which is ...
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06/10/2019
Meta-Learning Neural Bloom Filters
There has been a recent trend in training neural networks to replace dat...
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07/12/2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
The backpropagation of error algorithm (BP) is often said to be impossib...
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11/22/2017
Adaptive Cardinality Estimation
In this paper we address cardinality estimation problem which is an impo...
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08/16/2017
StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...
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02/25/2015
