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Papers matching “predicted probabilities” 18

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Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Weize Cai, Yongqi Dong, Zhida Shao, Zixin Fu

0

citations
Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Alessandro Riccardi, Thom Badings, Luca Laurenti, Alessandro Abate, Bart De Schutter

0

citations
Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Ordered Subgraph Aggregation Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert

8

citations
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
2021 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Marc-André Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok

1

citations
PPP-COMPUTE: A Pandemic Pharmacology Platform for COMPUTational Evaluation of Anti-infectives in Pandemic Preparedness
2026 medRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Qinhao Wu, Chenyu Wang, Wisse van Os, Xuanlin Liu, Jiahang Su, Anne‐Grete Märtson, +3 more

0

citations
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, Bastian Leibe

0

citations
HECTOR: multimodal deep learning predicts recurrence risk in endometrial cancer
2023 medRxiv preprint Computer Science AI in cancer detection Open access

Sarah Volinsky-Fremond, Nanda Horeweg, Sonali Andani, Jurriaan Barkey Wolf, Maxime W. Lafarge, Cor Doede de Kroon, +19 more

0

citations
DEEP LEARNING APPROACH FOR RENAL CELL CARCINOMA DETECTION, SUBTYPING, AND GRADING
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Gopal Avinash, Johannes Stegmaier, Abin Jose

0

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations
On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Yang, Wei Guo Zhou, Ralf Schlüter, Hermann Ney

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Inference Time Causal Probing in LLMs
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser

0

citations
GDP-Driven Structural and Dynamical Heterogeneity in the Synchronization of Chaotic Macroeconomic Networks
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Thierry Njougouo, Fernando F. Ferreira, Diego Garlaschelli

0

citations
Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury
2026 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Abel Torres Espin, Justin C. Wong, H.E. Hinson, Thomas B. Kuipers, Bart P. T. Hoekstra, Sonia Jain, +12 more

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations

18 results