ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.14744
  4. Cited By
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

26 June 2023
Yao Lai
Jinxin Liu
Zhentao Tang
Bin Wang
Jianye Hao
Ping Luo
    OffRL
ArXivPDFHTML

Papers citing "ChiPFormer: Transferable Chip Placement via Offline Decision Transformer"

31 / 31 papers shown
Title
Evolution of Optimization Algorithms for Global Placement via Large Language Models
Evolution of Optimization Algorithms for Global Placement via Large Language Models
Xufeng Yao
Jiaxi Jiang
Yuxuan Zhao
Peiyu Liao
Yibo Lin
Bei Yu
68
0
0
18 Apr 2025
Hardware Design and Security Needs Attention: From Survey to Path Forward
Hardware Design and Security Needs Attention: From Survey to Path Forward
Sujan Ghimire
Muhtasim Alam Chowdhury
B. S. Latibari
M. Mamun
Jaeden Wolf Carpenter
Benjamin Tan
Hammond Pearce
Pratik Satam
Soheil Salehi
3DV
48
0
0
11 Apr 2025
Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
Tomoya Yamashita
DiffM
65
0
0
05 Mar 2025
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
Stavros Orfanoudakis
Nanda Kishor Panda
Peter Palensky
Pedro P. Vergara
AI4CE
66
0
0
03 Feb 2025
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models
Haoyi Zhang
Shizhao Sun
Yibo Lin
Runsheng Wang
Jiang Bian
57
0
0
31 Dec 2024
Reinforcement Learning Policy as Macro Regulator Rather than Macro
  Placer
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
Ke Xue
Ruo-Tong Chen
Xi Lin
Yunqi Shi
Shixiong Kai
Siyuan Xu
Chao Qian
OffRL
71
1
0
10 Dec 2024
Effective Analog ICs Floorplanning with Relational Graph Neural Networks
  and Reinforcement Learning
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
Davide Basso
Luca Bortolussi
Mirjana Videnovic-Misic
Husni M. Habal
60
1
0
20 Nov 2024
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for
  Chip Design
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design
Anna Goldie
Azalia Mirhoseini
J. Dean
29
0
0
15 Nov 2024
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level
  Hardware Statistics
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics
Yeasir Rayhan
Walid G. Aref
35
0
0
05 Nov 2024
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
Constantin Waubert de Puiseau
Fabian Wolz
Merlin Montag
Jannik Peters
Hasan Tercan
Tobias Meisen
39
0
0
04 Sep 2024
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing
  Autoregressive Transformers
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers
Souradip Poddar
Youngmin Oh
Yao Lai
Hanqing Zhu
Bosun Hwang
David Z. Pan
27
2
0
10 Jul 2024
Benchmarking End-To-End Performance of AI-Based Chip Placement
  Algorithms
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
Zhihai Wang
Zijie Geng
Zhaojie Tu
Jie Wang
Yuxi Qian
...
M. Yuan
Jianye Hao
Bin Li
Yongdong Zhang
Feng Wu
36
7
0
03 Jul 2024
Large Reasoning Models for 3D Floorplanning in EDA: Learning from
  Imperfections
Large Reasoning Models for 3D Floorplanning in EDA: Learning from Imperfections
Fin Amin
N. Rouf
Tse-Han Pan
Md. Kamal Ibn Shafi
Paul D. Franzon
31
0
0
15 Jun 2024
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout
  Constraint Generation
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
Guojin Chen
Keren Zhu
Seunggeun Kim
Hanqing Zhu
Yao Lai
Bei Yu
David Z. Pan
34
7
0
07 Jun 2024
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural
  Network
RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network
Yunbo Hou
Haoran Ye
Yingxue Zhang
Siyuan Xu
Guojie Song
32
1
0
04 Jun 2024
AnalogCoder: Analog Circuit Design via Training-Free Code Generation
AnalogCoder: Analog Circuit Design via Training-Free Code Generation
Yao Lai
Sungyoung Lee
Guojin Chen
Souradip Poddar
Mengkang Hu
Yao Lai
Ping Luo
46
31
0
23 May 2024
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
Jinxin Liu
Xinghong Guo
Zifeng Zhuang
Donglin Wang
DiffM
OffRL
52
2
0
23 May 2024
Scalable and Effective Arithmetic Tree Generation for Adder and
  Multiplier Designs
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Yao Lai
Jinxin Liu
Yao Lai
Ping Luo
38
5
0
10 May 2024
FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of
  Real-World SoCs
FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs
Uday Mallappa
Hesham Mostafa
Mikhail Galkin
Mariano Phielipp
Somdeb Majumdar
3DV
22
1
0
09 May 2024
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
Shang Wang
Deepak Ranganatha Sastry Mamillapalli
Tianpei Yang
Matthew E. Taylor
36
0
0
11 Apr 2024
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global
  Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Ruizhe Zhong
Junjie Ye
Zhentao Tang
Shixiong Kai
Mingxuan Yuan
Jianye Hao
Junchi Yan
44
8
0
27 Feb 2024
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain
  Specific Knowledge
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge
Weimin Fu
Shijie Li
Yifang Zhao
Haocheng Ma
R. Dutta
Xuan Zhang
Kaichen Yang
Yier Jin
Xiaolong Guo
ALM
39
10
0
27 Jan 2024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
A. B. Chowdhury
Marco Romanelli
Benjamin Tan
Ramesh Karri
Siddharth Garg
67
7
0
22 Jan 2024
Offline Imitation Learning with Variational Counterfactual Reasoning
Offline Imitation Learning with Variational Counterfactual Reasoning
Bowei He
Zexu Sun
Jinxin Liu
Shuai Zhang
Xu Chen
Chen Ma
OffRL
31
9
0
07 Oct 2023
A Circuit Domain Generalization Framework for Efficient Logic Synthesis
  in Chip Design
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
Zhihai Wang
Lei Chen
Jie Wang
Xing Li
Yinqi Bai
Xijun Li
M. Yuan
Jianye Hao
Yongdong Zhang
Feng Wu
31
7
0
22 Aug 2023
Macro Placement by Wire-Mask-Guided Black-Box Optimization
Macro Placement by Wire-Mask-Guided Black-Box Optimization
Yunqi Shi
Ke Xue
Lei Song
Chaojun Qian
24
11
0
29 Jun 2023
CEIL: Generalized Contextual Imitation Learning
CEIL: Generalized Contextual Imitation Learning
Jinxin Liu
Li He
Yachen Kang
Zifeng Zhuang
Donglin Wang
Huazhe Xu
39
17
0
26 Jun 2023
Design from Policies: Conservative Test-Time Adaptation for Offline
  Policy Optimization
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
Jinxin Liu
Hongyin Zhang
Zifeng Zhuang
Yachen Kang
Donglin Wang
Bin Wang
OffRL
44
8
0
26 Jun 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
Jinxin Liu
Lipeng Zu
Li He
Donglin Wang
OffRL
45
8
0
23 Jun 2023
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement
  Learning
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
Jinxin Liu
Ziqi Zhang
Zhenyu Wei
Zifeng Zhuang
Yachen Kang
Sibo Gai
Donglin Wang
OffRL
33
16
0
22 Jun 2023
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,963
0
04 May 2020
1