From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “sample loss” 18

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

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
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Kevin Shen, Susanne Pielawa, Vedran Dunjko, Hao Wang

0

citations
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Matthias Pallasch, Fränk Zimmer, Mike Preuß

0

citations
A step towards understanding why classification helps regression
2023 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert

0

citations
On Sampling-Based Training Criteria for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, David Thulke, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney

0

citations
Integrated Multimodal Data Pipelines for Intelligent Security Monitoring in Smart Cities
2025 Preprints.org preprint Computer Science Video Surveillance and Tracking Methods Open access

Johannes Richter, Felix K. Wagner

0

citations
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

3

citations
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko

0

citations
The Fiat–Shamir Transformation of (Γ1, . . . , Γµ)-Special-Sound Interactive Proofs
2025 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Cryptography and Data Security Open access

Thomas Attema, Serge Feh, Michael Klooß, Nicolas Resch

0

citations
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Xinyuan Ji, Zhaowei Zhu, Xi Wei, Olga Gadyatskaya, Zilong Song, Yong Q. Cai, +1 more

0

citations
Influence Is the Target-Response Jacobian Times Residuals
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Paul Geertsema, Simon Geertsema

0

citations
An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

J. Slim, Saverio Monaco, Florian Rehm, Dirk Krücker, Kerstin Borras

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
Classical Pre-Training of Large Shallow Parametrized Quantum Circuits through Pauli Propagation and deployment on Quantum Hardware
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Saverio Monaco, J. Slim, Ran Xue, Dirk Krücker, K. Borras

0

citations
Clustering-based Domain-Incremental Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Baeck, Paris V. Giampouras

0

citations
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Susanne Pielawa, Hao Wang, Vedran Dunjko

0

citations
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wei Guo Zhou, Simon Berger, Ralf Schlüter, Hermann Ney

1

citations
Interferometric Quantum Polynomial Chaos Expansion as a Generative Model for Calorimeter Shower Simulation
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

J. Slim, Saverio Monaco, Florian Rehm, D. Kruecker, Frank Gaede, Kerstin Borras

0

citations

18 results