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Papers matching “running” 84

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Multi-objective Optimization of Long-run Average and Total Rewards
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Tim Quatmann, Joost-Pieter Katoen

0

citations
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Anja Jankovič, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, +1 more

2

citations
Inferring Expected Runtimes of Probabilistic Integer Programs Using Expected Sizes
2020 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Marcel Hark, Jürgen Giesl

0

citations
From Language Models to Control Policies: Search, Selection, and Verification
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Nima Hamidi Siboni, Seyedreza Kiamousavi, Vahid Rostami, Emad Scharifi

0

citations
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Hao Wang, Manuel López‐Ibáñez, Carola Doerr, Thomas Bäck

1

citations
Scalable General Error Mitigation for Quantum Circuits
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Philip Döbler, Jannik Pflieger, Fengping Jin, Hans A. De Raedt, Kristel F. L. Michielsen, Thomas K. Lippert, +1 more

0

citations
Interplay between Distributed AI Workflow and URLLC
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Milad Ganjalizadeh, Hossein Shokri‐Ghadikolaei, Johan Haraldson

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Trajectory-based Algorithm Selection with Warm-starting
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Anja Jankovič, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr

2

citations
CHAMB-GA: A Containerized HPC Scalable Microservice-Based Framework for Genetic Algorithms
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Felix Bonhoff, Thiemo Pesch, Andrea Benigni, Alexander Mitsos, Manuel Dahmen

0

citations
Deterministic Execution of ROS 2 Applications via Lingua Franca
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Harun Teper, Shaokai Lin, Shulu Li, Edward A. Lee, Jian-Jia Chen

0

citations
Lifelong Computing
2021 arXiv (Cornell University) preprint Computer Science Advanced Software Engineering Methodologies Open access

Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir

0

citations
Seasons's Greetings by AD
2023 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Uwe Naumann

0

citations
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart

0

citations
Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Daniel Mock, Peter Rossmanith

0

citations
Symmetries and Expressive Requirements for Learning General Policies
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Dominik Drexler, Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Furong Ye, Carola Doerr, Thomas Bäck

0

citations
Evaluating Massively Parallel Algorithms for DFA Minimisation, Equivalence Checking and Inclusion Checking
2025 arXiv (Cornell University) preprint Computer Science semigroups and automata theory Open access

Jan Heemstra, Jan Martens, Anton Wijs

0

citations
The gem5 Simulator: Version 20.0+
2020 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Maria Andreozzi, +67 more

15

citations
Accurately Solving Physical Systems with Graph Learning
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Tassilo Kugelstadt, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels

4

citations
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck

3

citations
Swing: Short-cutting Rings for Higher Bandwidth Allreduce
2024 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler

3

citations
End-to-end resource analysis for quantum interior point methods and portfolio optimization
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more

3

citations
Beyond the Surface: Investigating Malicious CVE Proof of Concept Exploits on GitHub
2022 arXiv (Cornell University) preprint Computer Science Web Application Security Vulnerabilities Open access

Soufian El Yadmani, Robin The, Olga Gadyatskaya

3

citations
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Batuhan Yardim, Semih Çaycı, Matthieu Geist, Niao He

2

citations