Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2310.02442
Cited By
v1
v2 (latest)
GenCO: Generating Diverse Designs with Combinatorial Constraints
3 October 2023
Aaron Ferber
Arman Zharmagambetov
Taoan Huang
B. Dilkina
Yuandong Tian
3DV
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"GenCO: Generating Diverse Designs with Combinatorial Constraints"
14 / 14 papers shown
Title
Graph Transformer GANs for Graph-Constrained House Generation
Hao Tang
Zhenyu Zhang
Humphrey Shi
Yue Liu
Lin Shao
N. Sebe
Radu Timofte
Luc Van Gool
70
21
0
14 Mar 2023
Robust Scheduling with GFlowNets
David W. Zhang
Corrado Rainone
M. Peschl
Roberto Bondesan
101
56
0
17 Jan 2023
Inverse design of photonic devices with strict foundry fabrication constraints
M. Schubert
A. C. H. Cheung
Ian A. D. Williamson
Aleksandra Spyra
David H. Alexander
64
53
0
31 Jan 2022
Vector Quantized Models for Planning
Sherjil Ozair
Yazhe Li
Ali Razavi
Ioannis Antonoglou
Aaron van den Oord
Oriol Vinyals
OffRL
72
51
0
08 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
62
87
0
03 Jun 2021
DC3: A learning method for optimization with hard constraints
P. Donti
David Rolnick
J. Zico Kolter
AI4CE
71
196
0
25 Apr 2021
Generative Layout Modeling using Constraint Graphs
W. Para
Paul Guerrero
Tom Kelly
Leonidas Guibas
Peter Wonka
66
71
0
26 Nov 2020
Video Game Level Repair via Mixed Integer Linear Programming
Hejia Zhang
Matthew C. Fontaine
Amy K. Hoover
Julian Togelius
B. Dilkina
Stefanos Nikolaidis
GAN
75
30
0
13 Oct 2020
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
97
560
0
18 Jul 2019
MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber
Bryan Wilder
B. Dilkina
Milind Tambe
75
146
0
12 Jul 2019
End to end learning and optimization on graphs
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
GNN
69
107
0
31 May 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang
P. Donti
Bryan Wilder
Zico Kolter
LRM
NAI
78
265
0
29 May 2019
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
230
5,071
0
02 Nov 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
165
972
0
01 Mar 2017
1