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Papers matching “autoregressive generation” 21

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Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 1 patent

Moritz Ibing, Gregor Kobsik, Leif P. Kobbelt

12

citations
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences
2021 arXiv (Cornell University) preprint Engineering 3D Shape Modeling and Analysis Open access

Moritz Ibing, Gregor Kobsik, Leif P. Kobbelt

0

citations
Uncertainty-Gated Adapter for Visual Autoregressive Generation
2025 conference-paper Computer Science Image Enhancement Techniques

Yanran Xu, Xun Jia Su

0

citations
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

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

0

citations
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
2026 arXiv (Cornell University) preprint Computer Science Advanced Data Compression Techniques Open access

Jette Oberländer, Jan Finkbeiner, Catherine Mia Schöfmann, Emre Neftci

0

citations
Nonlinear impacts of distributed generation on extreme electricity prices under policy shocks: Evidence from New Zealand's oil and gas exploration ban
2025 Energy article Engineering Electric Power System Optimization Open access

Guanghao Wang, Hongtao Wan, Erwann Sbaï

3

citations
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
2024 Symmetry article Computer Science Generative Adversarial Networks and Image Synthesis Open access

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

11

citations
Neural Scaling Laws for Jet Generation
2026 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Oz Amram, Darius A. Faroughy, Tjarko Gerdes, Anna Hallin, Gregor Kasieczka, Michael Krämer, +2 more

0

citations
Unsupervised deep learning for defect detection on CT parts using simulated data
2023 Research and Review Journal of Nondestructive Testing article Engineering Advanced X-ray and CT Imaging Open access

Virginia Florian, Christian Kretzer, Stefan Kasperl, Richard Schielein, Benjamin Montavon, Robert Heinrich Schmitt

0

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

3

citations
SECRET: Stochasticity Emulator for Cosmic Ray Electrons
2025 arXiv (Cornell University) preprint Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Nikolas Frediani, Michael Krämer, Philipp Mertsch, Kathrin Nippel

0

citations
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

0

citations
SECRET: Stochasticity Emulator for Cosmic Ray Electrons
2025 conference-paper Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Philipp Mertsch, Nikolas Frediani, Michael Krämer, Kathrin Nippel

0

citations
Machine-Learning-Based Wear Prediction in Journal Bearings under Start–Stop Conditions
2024 Lubricants article Engineering Gear and Bearing Dynamics Analysis Open access

Florian König, Florian Wirsing, Ankit Singh, Georg Jacobs

23

citations
A high throughput generative vector autoregression model for stochastic synapses
2022 Frontiers in Neuroscience article Engineering Advanced Memory and Neural Computing Open access

Tyler Hennen, Jean-François Nodin, G. Molas, Rainer Waser, Dirk J. Wouters, Daniel Bedau

7

citations
Synaptogen: A Cross-Domain Generative Device Model for Large-Scale Neuromorphic Circuit Design
2024 IEEE Transactions on Electron Devices article Engineering Advanced Memory and Neural Computing Open access

Tyler Hennen, Leon Brackmann, Tobias Ziegler, Sebastian Siegel, Stephan Menzel, Rainer M. Waser, +2 more

3

citations
Daily Load Forecasting Using Explainable AI-Driven Method With Integrated Error Correlation
2025 IEEE Access article Engineering Energy Load and Power Forecasting Open access

Ei Thu Thu Tun, Kamal Chapagain, Pyae Pyae Phyo, Yung-Cheol Byun, Vannak Seng, Panharith Chhom, +1 more

2

citations
A High Throughput Generative Vector Autoregression Model for Stochastic Synapses
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

T. Hennen, Adler Gonçalves Elias, J. F. Nodin, G. Molas, R. Waser, Dirk J. Wouters, +1 more

0

citations
On-Chip Learning via Transformer In-Context Learning
2025 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) conference-paper Engineering Advanced Memory and Neural Computing

Jan Finkbeiner, Emre Neftci

0

citations
Optimizing renewable fuel supply chain network design under sustainability and uncertainty considerations
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Forest Biomass Utilization and Management Open access

Mina Farajiamiri

0

citations
On-Chip Learning via Transformer In-Context Learning
2024 arXiv (Cornell University) preprint Engineering Analog and Mixed-Signal Circuit Design Open access

Jan Finkbeiner, Emre Neftci

0

citations

21 results