Practical Design Space Exploration

11 October 2018

Papers citing "Practical Design Space Exploration"

42 / 42 papers shown

Title
Cellular Plasticity Model for Bottom-Up Robotic Design Trevor R. Smith Thomas J. Smith N. Szczecinski Sergiy Yakovenko Yu Gu 18 0 0 10 Aug 2024
IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA Zesong Jiang Qing Zhang Cheng Liu Long Cheng Huawei Li Xiaowei Li 47 2 0 17 Jul 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 63 0 0 24 Jun 2024
Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators(BTMG) Approach for Failure Management Faseeh Ahmad Matthias Mayr Sulthan Suresh-Fazeela Volker Krueger 46 2 0 09 Apr 2024
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 47 12 0 24 Nov 2023
High-dimensional Bayesian Optimization with Group Testing E. Hellsten Carl Hvarfner Leonard Papenmeier Luigi Nardi 40 3 0 05 Oct 2023
BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks Jonathan Styrud Matthias Mayr Erik Hellsten Volker Krueger Christian Smith 24 9 0 02 Oct 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 35 12 0 02 Jul 2023
Swarm of One: Bottom-up Emergence of Stable Robot Bodies from Identical Cells T. Smith R. Butts N. Adkins Yu Gu 15 2 0 22 Jun 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 24 36 0 22 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 43 15 0 21 Apr 2023
Path Planning using Reinforcement Learning: A Policy Iteration Approach Saumil Shivdikar J. Nirmal OffRL 21 1 0 13 Mar 2023
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 11 11 0 07 Dec 2022
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 32 16 0 01 Dec 2022
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Shuhei Watanabe Frank Hutter 30 10 0 26 Nov 2022
Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration Masood S. Mortazavi Tiancheng Qin Ning Yan 27 2 0 03 Nov 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 37 1 0 14 Sep 2022
Learning Skill-based Industrial Robot Tasks with User Priors Matthias Mayr Carl Hvarfner Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 33 21 0 02 Aug 2022
A Local Optimization Framework for Multi-Objective Ergodic Search Z. Ren A. Srinivasan Howard E. Coffin Ian Abraham Howie Choset 16 6 0 06 Jul 2022
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis Mang Yu Sitao Huang Deming Chen 18 9 0 03 Jul 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 44 36 0 09 Jun 2022
$π$ BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Carl Hvarfner Daniel Stoll Artur L. F. Souza Marius Lindauer Frank Hutter Luigi Nardi 15 68 0 23 Apr 2022
SCOPE: Safe Exploration for Dynamic Computer Systems Optimization Hyunji Kim Ahsan Pervaiz Henry Hoffmann Michael Carbin Yiqiang Ding 19 1 0 22 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 34 13 0 18 Apr 2022
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression Yi Ding Alex Renda Ahsan Pervaiz Michael Carbin Henry Hoffmann 24 3 0 11 Apr 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 35 28 0 18 Mar 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 29 26 0 16 Dec 2021
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters Sami Alabed Eiko Yoneki 17 6 0 16 Dec 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 27 36 0 20 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 328 0 20 Sep 2021
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design Craig Innes S. Ramamoorthy 24 5 0 16 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation Qingcheng Xiao Wenlei Bao Bingzhe Wu Pengcheng Xu Xuehai Qian Yun Liang 40 67 0 04 May 2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators Yanqi Zhou Xuanyi Dong Berkin Akin Mingxing Tan Daiyi Peng Tianjian Meng Amir Yazdanbakhsh Da Huang Ravi Narayanaswami James Laudon 63 26 0 17 Feb 2021
Apollo: Transferable Architecture Exploration Amir Yazdanbakhsh Christof Angermueller Berkin Akin Yanqi Zhou Albin Jones Milad Hashemi Kevin Swersky S. Chatterjee Ravi Narayanaswami James Laudon 13 24 0 02 Feb 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 26 115 0 02 Jan 2021
Learned Hardware/Software Co-Design of Neural Accelerators Zhan Shi Chirag Sakhuja Milad Hashemi Kevin Swersky Calvin Lin 16 15 0 05 Oct 2020
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 21 8 0 25 Jun 2020
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks Md Shahriar Iqbal Jianhai Su Lars Kotthoff Pooyan Jamshidi 17 3 0 18 Jan 2020
Polystore++: Accelerated Polystore System for Heterogeneous Workloads Rekha Singhal Nathan Zhang Luigi Nardi M. Shahbaz K. Olukotun 11 8 0 24 May 2019