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Neural Topological Ordering for Computation Graphs

Neural Topological Ordering for Computation Graphs

13 July 2022
Mukul Gagrani
Corrado Rainone
Yang Yang
Harris Teague
Wonseok Jeon
H. V. Hoof
Weizhen Zeng
P. Zappi
Chris Lott
Roberto Bondesan
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Papers citing "Neural Topological Ordering for Computation Graphs"

13 / 13 papers shown
Title
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and
  Fully-Connected Neural Networks for Causally Constrained Predictions
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions
M. Vowels
Mathieu Rochat
S. Akbari
CML
GNN
OOD
19
0
0
18 Oct 2024
Network Representation Learning for Biophysical Neural Network Analysis
Network Representation Learning for Biophysical Neural Network Analysis
Youngmok Ha
Yongjoo Kim
Hyun Jae Jang
Seungyeon Lee
Eunji Pak
19
0
0
15 Oct 2024
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial
  Optimization
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization
Andoni I. Garmendia
Quentin Cappart
Josu Ceberio
A. Mendiburu
32
2
0
05 Aug 2024
INSPIRIT: Optimizing Heterogeneous Task Scheduling through Adaptive
  Priority in Task-based Runtime Systems
INSPIRIT: Optimizing Heterogeneous Task Scheduling through Adaptive Priority in Task-based Runtime Systems
Yiqing Wang
Xiaoyan Liu
Hailong Yang
Xinyu Yang
Pengbo Wang
Yi Liu
Zhongzhi Luan
Depei Qian
14
0
0
04 Apr 2024
Semi-Supervised Learning for Deep Causal Generative Models
Semi-Supervised Learning for Deep Causal Generative Models
Yasin Ibrahim
Hermione Warr
Konstantinos Kamnitsas
OOD
MedIm
CML
GAN
23
1
0
27 Mar 2024
A Theory of Non-Acyclic Generative Flow Networks
A Theory of Non-Acyclic Generative Flow Networks
Leo Maxime Brunswic
Yinchuan Li
Yushun Xu
Shangling Jui
Lizhuang Ma
26
3
0
23 Dec 2023
Learning to Scale Logits for Temperature-Conditional GFlowNets
Learning to Scale Logits for Temperature-Conditional GFlowNets
Minsu Kim
Joohwan Ko
Taeyoung Yun
Dinghuai Zhang
Ling Pan
W. Kim
Jinkyoo Park
Emmanuel Bengio
Yoshua Bengio
AI4CE
29
21
0
04 Oct 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial
  Optimization Benchmark
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto
Chuanbo Hua
Junyoung Park
Laurin Luttmann
Yining Ma
...
Guojie Song
Changhyun Kwon
Kevin Tierney
Lin Xie
Jinkyoo Park
OffRL
29
27
0
29 Jun 2023
Moccasin: Efficient Tensor Rematerialization for Neural Networks
Moccasin: Efficient Tensor Rematerialization for Neural Networks
Burak Bartan
Haoming Li
Harris Teague
Chris Lott
B. Dilkina
15
0
0
27 Apr 2023
Robust Scheduling with GFlowNets
Robust Scheduling with GFlowNets
David W. Zhang
Corrado Rainone
M. Peschl
Roberto Bondesan
26
48
0
17 Jan 2023
Transformers over Directed Acyclic Graphs
Transformers over Directed Acyclic Graphs
Yu Luo
Veronika Thost
Lei Shi
GNN
AI4CE
35
16
0
24 Oct 2022
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
184
171
0
09 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural
  Networks for Edge Devices
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
Byung Hoon Ahn
Jinwon Lee
J. Lin
Hsin-Pai Cheng
Jilei Hou
H. Esmaeilzadeh
62
54
0
04 Mar 2020
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