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Papers matching “avoidance learning” 21

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A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2022 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Anton Müller‐Franzes, Firas Khader, Philip Quirke, +21 more

7

citations
Swarm learning for decentralized artificial intelligence in cancer histopathology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline A. James, Maurice Bernard Loughrey, Heike Irmgard Grabsch, +20 more

22

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
ADCL: Acceleration Driven Clause Learning for Constrained Horn Clauses
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Florian Frohn, Jürgen Giesl

1

citations
In Trust We Survive: Emergent Trust Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Qianpu Chen, Giulio Barbero, Mike Preuß, Derya Soydaner

0

citations
Superpixel segmentations for thin sections: evaluation of methods to enable the generation of machine learning training data sets
2021 preprint Computer Science Advanced Neural Network Applications Open access

Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more

2

citations
Large-scale modelling of sparse kinase activitydata
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Sohvi Luukkonen, Erik Meijer, Giovanni A. Tricarico, Johan Hofmans, Pieter F. W. Stouten, Gerard J. P. van Westen, +1 more

0

citations
Graph neural networks for the prediction of molecular structure-property relationships
2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann

2

citations
A Functional Analysis Approach to Symbolic Regression
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Bas van Stein, Anna V. Kononova

0

citations
A Real-Time Control Barrier Function-Based Safety Filter for Motion Planning with Arbitrary Road Boundary Constraints
2025 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Chang Che, Bassam Alrifaee

0

citations
EveLoad: Cognitive Workload Recognition from Event-Based Eye Movements
2026 arXiv (Cornell University) preprint Computer Science Gaze Tracking and Assistive Technology Open access

G. Lu, Shaohua Guan, Zhewei Xu, Qinyu Chen

0

citations
Multimap targeted free energy estimation
2023 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Andrea Rizzi, Paolo Carloni, Michele Parrinello

3

citations
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?
2024 arXiv (Cornell University) preprint Computer Science Text and Document Classification Technologies Open access

Seyed Amin Tabatabaei, Sarah Fancher, Arian Askari

1

citations
MixNet: Multi-modality Mix Network for Brain Segmentation
2020 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Long Chen, Dorit Merhof

1

citations
Circular Stereo Algorithm and Fingerprint for Chiral Resonance Invariant Molecular Representation
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Maxim Papusha, Kai O. Leonhard

0

citations
Comparative Analysis of the wav2vec 2.0 Feature Extractor
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Speech Recognition and Synthesis Open access

Peter Vieting, Ralf Schlüter, Hermann Ney

0

citations
A Stereochemistry-Aware Circular Algorithm and Fingerprint for Resonance-Invariant Molecular Representation
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Maxim Papusha, Kai O. Leonhard

0

citations

21 results