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Papers matching “distributed generators” 63

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AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
2022 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov

0

citations
Beyond Self-Report: Making AI Use Observable at Scale: Behavioral Traces, Adaptive Interviews, and Distributed Hermeneutic Inquiry
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Artificial Intelligence in Education Open access

Daniel Autenrieth, Lea Schulz, Nina Autenrieth

0

citations
Cross-comparison of state of the art neuromorphological simulators on modern CPUs and GPUs using the Brain Scaffold Builder
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Robin De Schepper, Nora Abi Akar, Thorsten Hater, B. F. B. Huisman, Egidio Ugo D'Angelo, Abigail Morrison, +1 more

2

citations
A Coherent Memory Register for Sequential Quantum Generative Modeling, with Application to Calorimeter Showers
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Jamal Slim. Saverio Monaco, Ran Xue, D. Kruecker, Kerstin Borras

0

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
Teacher Geometry Shapes Learnability in Teacher-Student Networks
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Kai Jappe Sandbrink, Flavio Martinelli, Alexander van Meegen, Wulfram Gerstner, Johanni Brea

0

citations
Quantum Boltzmann Machines: Applications in Quantitative Finance
2023 RePEc: Research Papers in Economics preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Cameron Perot

0

citations
Does a Program Yield the Right Distribution? Verifying Probabilistic Programs via Generating Functions
2022 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Mingshuai Chen, Joost-Pieter Katoen, Lutz Klinkenberg

1

citations
Diffusion and Flow Matching Models for Tabular Data: A Survey
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Zhong Li, Qi Huang, Lincen Yang, Yang Zhao, Bas van Stein, Thomas Bäck, +1 more

0

citations
Exact Probabilistic Inference Using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Lutz Klinkenberg, Mingshuai Chen, Joost-Pieter Katoen

1

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
Error Correlations in Photonic Qudit-Mediated Entanglement Generation
2023 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Xiaoyu Liu, Niv Bharos, Liubov A. Markovich, Johannes Borregaard

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
Detecting Diffusion-Generated Time Series Under Generator Shift
2026 arXiv (Cornell University) preprint Computer Science Digital Media Forensic Detection Open access

Zhi Wen Soi, Aditya Shankar, Gert Lek, Abele Mălan, Daniel Neider, Jian-Jia Chen, +1 more

0

citations
UnCorrupt SMILES: a novel approach to de novo design
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

3

citations
UnCorrupt SMILES: a novel approach to de novo design
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

3

citations
Integrating Pharmacokinetics and Quantitative Systems Pharmacology Approaches in Generative Drug Design
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Helle W. van den Maagdenberg, Jikke de Mol van Otterloo, J. G. Coen van Hasselt, Piet H. van der Graaf, Gerard J. P. van Westen

1

citations
Integrating Pharmacokinetics and Quantitative Systems Pharmacology Approaches in Generative Drug Design
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Helle W. van den Maagdenberg, Jikke de Mol van Otterloo, J. G. Coen van Hasselt, Piet H. van der Graaf, Gerard J. P. van Westen

0

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

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
Governing Copyright Responsibly in the Era of Generative AI
2026 arXiv (Cornell University) preprint Computer Science Law, AI, and Intellectual Property Open access

Dmitry M. Kochetkov

0

citations
Sector length distributions of recursively definable graph states through analytic combinatorics
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Eloïc Vallée, Kenneth Goodenough, Paul E. Gunnells, Tim Coopmans, Jordi Tura

0

citations
Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Haoran Xu, Yanlin Liu, Zizhao Tong, Jiaze Li, Kexue Fu, Yuyang Zhang, +5 more

0

citations
Diffusion Language Models for Speech Recognition
2026 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Davyd Naveriani, Albert Zeyer, Ralf Schlüter, Hermann Ney

0

citations
Generate What You Can Make: Achieving in-house synthesizability with readily available resources in de novo drug design
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Alan Kai Hassen, Martin Šícho, Yorick J. van Aalst, Mirjam C. W. Huizenga, Darcy N. R. Reynolds, Sohvi Luukkonen, +5 more

3

citations