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2403.07041
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Ant Colony Sampling with GFlowNets for Combinatorial Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
11 March 2024
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
Re-assign community
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Papers citing
"Ant Colony Sampling with GFlowNets for Combinatorial Optimization"
50 / 101 papers shown
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Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
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NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem
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Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets
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234
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Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem
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158
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Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems
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Romain Billot
Flavien Lucas
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Daniele Vigo
159
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Learning to Segment for Vehicle Routing Problems
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Adaptive Destruction Processes for Diffusion Samplers
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359
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Generalizable Heuristic Generation Through LLMs with Meta-Optimization
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265
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Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
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341
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396
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USPR: Learning a Unified Solver for Profiled Routing
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420
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Bingrui Chen
Zhuoluo Zhao
Xiu Tang
Sai Wu
Chang Yao
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280
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Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Muheng Li
Ruqi Zhang
424
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Adversarial Generative Flow Network for Solving Vehicle Routing Problems
International Conference on Learning Representations (ICLR), 2025
Ni Zhang
Jingfeng Yang
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351
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Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
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342
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Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
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439
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Neural Deconstruction Search for Vehicle Routing Problems
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Paula Wong-Chung
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362
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Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
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444
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31 Dec 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems
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Jieyi Bi
Yining Ma
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346
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Collaboration! Towards Robust Neural Methods for Routing Problems
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Jianan Zhou
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Zhiqi Shen
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273
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U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
NMR in Biomedicine (NMR Biomed), 2024
Melanie Rieff
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Oksana Lapina
Geir Ringstad
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Bogna Warsza
Kent-Andre Mardal
Per Kristian Eide
Barbara Wohlmuth
450
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06 Oct 2024
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
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Rui Hu
Yifan Zhang
Zhuoran Li
Longbo Huang
328
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03 Oct 2024
Adaptive teachers for amortized samplers
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Minsu Kim
Sanghyeok Choi
Taeyoung Yun
Emmanuel Bengio
Leo Feng
Jarrid Rector-Brooks
Sungsoo Ahn
Jinkyoo Park
Nikolay Malkin
Yoshua Bengio
985
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02 Oct 2024
PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto
Chuanbo Hua
Laurin Luttmann
Jiwoo Son
Junyoung Park
Kyuree Ahn
C. Kwon
Lin Xie
Jinkyoo Park
407
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05 Sep 2024
Can a Bayesian Oracle Prevent Harm from an Agent?
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Yoshua Bengio
Michael K. Cohen
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Matt MacDermott
Damiano Fornasiere
Pietro Greiner
Younesse Kaddar
472
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RouteFinder: Towards Foundation Models for Vehicle Routing Problems
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Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
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Minjun Kim
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572
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Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples
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Lai Jiang
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Shibo Hao
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Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
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Zhihao Liu
Lei Song
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290
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Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
1.0K
36
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Pessimistic Backward Policy for GFlowNets
Hyosoon Jang
Yunhui Jang
Minsu Kim
Jinkyoo Park
SungSoo Ahn
280
12
0
25 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou
Zhiguang Cao
Yaoxin Wu
Wen Song
Yining Ma
Jie Zhang
Chi Xu
557
71
0
02 May 2024
Discrete Probabilistic Inference as Control in Multi-path Environments
T. Deleu
Padideh Nouri
Nikolay Malkin
Doina Precup
Yoshua Bengio
431
42
0
15 Feb 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Federico Berto
Chuanbo Hua
Haeyeon Kim
Jinkyoo Park
Guojie Song
425
4
0
02 Feb 2024
Maximum entropy GFlowNets with soft Q-learning
Sobhan Mohammadpour
Emmanuel Bengio
Emma Frejinger
Pierre-Luc Bacon
408
31
0
21 Dec 2023
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
AAAI Conference on Artificial Intelligence (AAAI), 2023
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
383
97
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13 Dec 2023
PyVRP: a high-performance VRP solver package
INFORMS journal on computing (IJOC), 2023
N. Wouda
L. Lan
Wouter Kool
260
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22 Nov 2023
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Neural Information Processing Systems (NeurIPS), 2023
Félix Chalumeau
Shikha Surana
Matthew Macfarlane
Nathan Grinsztajn
Arnu Pretorius
Alexandre Laterre
Thomas D. Barrett
OffRL
479
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Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
Neural Information Processing Systems (NeurIPS), 2023
Yining Ma
Zhiguang Cao
Yeow Meng Chee
347
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0
27 Oct 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Neural Information Processing Systems (NeurIPS), 2023
Fu Luo
Xi Lin
Fei Liu
Qingfu Zhang
Zhenkun Wang
442
170
0
12 Oct 2023
Learning Energy Decompositions for Partial Inference of GFlowNets
International Conference on Learning Representations (ICLR), 2023
Hyosoon Jang
Minsu Kim
SungSoo Ahn
289
32
0
05 Oct 2023
Learning to Scale Logits for Temperature-Conditional GFlowNets
International Conference on Machine Learning (ICML), 2023
Minsu Kim
Joohwan Ko
Taeyoung Yun
Dinghuai Zhang
Ling Pan
W. Kim
Jinkyoo Park
Emmanuel Bengio
Yoshua Bengio
AI4CE
390
30
0
04 Oct 2023
Local Search GFlowNets
International Conference on Learning Representations (ICLR), 2023
Minsu Kim
Taeyoung Yun
Emmanuel Bengio
Dinghuai Zhang
Yoshua Bengio
SungSoo Ahn
Jinkyoo Park
403
58
0
04 Oct 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Neural Information Processing Systems (NeurIPS), 2023
Haoran Ye
Jiarui Wang
Zhiguang Cao
Helan Liang
Yong Li
401
112
0
25 Sep 2023
Thompson sampling for improved exploration in GFlowNets
Jarrid Rector-Brooks
Kanika Madan
Moksh Jain
Maksym Korablyov
Cheng-Hao Liu
Sarath Chandar
Nikolay Malkin
Yoshua Bengio
254
37
0
30 Jun 2023
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jiwoo Son
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jinkyoo Park
405
27
0
05 Jun 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
International Conference on Machine Learning (ICML), 2023
Jiwoo Son
Minsu Kim
Hyeon-Seob Kim
Jinkyoo Park
300
33
0
05 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
International Conference on Machine Learning (ICML), 2023
Hyeon-Seob Kim
Minsu Kim
SungSoo Ahn
Jinkyoo Park
OffRL
538
9
0
02 Jun 2023
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