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Papers matching “avoidance learning” 41

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Different brain systems support the aversive and appetitive sides of human pain-avoidance learning
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural and Behavioral Psychology Studies Open access

Marieke Jepma, Mathieu Roy, Kiran Ramlakhan, Monique van Velzen, Albert Dahan

2

citations
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
Histological triage of early-stage mycosis fungoides using a weakly supervised deep learning-based model: a multicentre, external validation, and clinical utility study
2026 medRxiv preprint Medicine Cutaneous lymphoproliferative disorders research Open access

Thom Doeleman, Siemen Brussee, P. Valkema, Werner Kempf, Maarten H. Vermeer, Jesper Kers, +13 more

0

citations
A new model of decision processing in instrumental learning tasks
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural and Behavioral Psychology Studies Open access

Steven Miletić, Russell James Boag, Anne C. Trutti, Birte U. Forstmann, Andrew Heathcote

7

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
End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Daniel Mayfrank, Kayra Dernek, Laura Lang, Alexander Mitsos, Manuel Dahmen

0

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
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
What can we learn about tropospheric OH from satellite observations of methane?
2024 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Elise Penn, Daniel J Jacob, Zichong Chen, James D. East, Melissa Payer Sulprizio, Lori Bruhwiler, +5 more

0

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
Safety in safe Bayesian optimization and its ramifications for control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Sebastian Trimpe

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
Personalised approach to hypertension treatment: Rationale and design of the HYPERMARKER randomised trial
2026 medRxiv preprint Medicine Blood Pressure and Hypertension Studies Open access

Matthew Chapman, Jonathan Emanuel Knikman, Alastair Mobley, Fernando Martínez, Seraphine Zeitouny, Daniel Engler, +7 more

1

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
Closing the Loop: Autonomous High-Throughput Strain Characterisation from Frozen Cell Bank to Product Assay
2023 Research Square preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access

Laura M. Helleckes, Debora Puchta, Hannah Czech, Holger Morschett, Bertram Geinitz, Wolfgang Wiechert, +1 more

0

citations
Adaptive Voronoi NeRFs
2023 arXiv (Cornell University) preprint Engineering 3D Shape Modeling and Analysis Open access

Tim Elsner, Victor Czech, Julia Berger, Zain Selman, Isaak Lim, Leif P. Kobbelt

1

citations
Accurate sex prediction of cisgender and transgender individuals without brain size bias
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Medicine Sex and Gender in Healthcare Open access

Lisa Wiersch, Felix Hoffstaedter, Mikhail Votinov, Ute Habel, Benjamin Clemens, Birgit Derntl, +3 more

4

citations