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Papers matching “parameter efficiency” 190

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Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Alina Bazarova, Johann F. Jadebeck, Henrik Zunker, Carolina J. Klett-Tammen, Torben Heinsohn, Wolfgang Wiechert, +2 more

0

citations
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
2022 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access

Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more

0

citations
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

0

citations
Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware
2026 arXiv (Cornell University) preprint Engineering Green IT and Sustainability Open access

Philipp M. Zähl, Elja Dalipaj, Anika Hennig, Timon Bayer

0

citations
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, +2 more

0

citations
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

0

citations
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg

0

citations
Marking strategies for adaptive mesh refinement: An efficiency-focused benchmark study for steady solid and fluid mechanics problems
2026 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Oliver Wege, Kaan Atak, Marek Behr, Norbert Hosters

0

citations
Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness
2026 arXiv (Cornell University) preprint Engineering Millimeter-Wave Propagation and Modeling Open access

Murilo Batista, Shirin Salehi, Saeed Mashdour, Paul Zheng, Rodrigo C. de Lamare, Anke Schmeink

0

citations
Efficiency of the hidden fermion determinant states Ansatz in the light of different complexity measures
2024 arXiv (Cornell University) preprint Physics and Astronomy Quantum many-body systems Open access

Björn Jakob Wurst, Dante Marvin Kennes, Jonas B. Profe

0

citations
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Jitai Hao, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren

1

citations
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

1

citations
Phantom-Powered Nested Sampling
2023 Research Square preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
Phantom-Powered Nested Sampling
2023 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images
2026 arXiv (Cornell University) preprint Engineering Autonomous Vehicle Technology and Safety Open access

Sandeep Patil, Yongqi Dong, Haneen Farah, J. Hellendoorn

0

citations
Accelerating jackknife resampling for the Canonical Polyadic Decomposition
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi

0

citations
Improving the Training Recipe for a Robust Conformer-based Hybrid Model
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Mohammad Zeineldeen, Jingjing Xu, Ralf Schlüter, Hermann Ney

0

citations
Event-Based and LHV Simulation of an EPR-B Experiment: EPR-Simple and EPR-Clocked
2021 Preprints.org preprint Physics and Astronomy Quantum Mechanics and Applications Open access

Richard David Gill

0

citations
Event-Based and LHV Simulation of an EPR-B Experiment: EPR-Simple and EPR-Clocked
2021 Preprints.org preprint Physics and Astronomy Quantum Mechanics and Applications Open access

Richard David Gill

0

citations
Assessing the Process Performance of Ballistic Separators in Waste Sorting Plants Using Sensor-Based Process Monitoring
2024 SSRN Electronic Journal preprint Environmental Science Municipal Solid Waste Management Open access

Alena Maria Spies, Tabea Scherling, Annika Ludes, Bastian Küppers, Nils Kroell, Karoline Raulf, +1 more

2

citations
Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Ahmed Elkhashap, Dirk Abel

0

citations
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?
2022 arXiv (Cornell University) preprint Engineering Vehicle Dynamics and Control Systems Open access

Robert Ritschel, Felix Krabbes, Rick Voßwinkel, Hendrik Richter

0

citations
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Maarten Volkaerts, Marie Cloet, Hans Dierckx, Piet Claus, Giovanni Samaey

0

citations
Euclid preparation. Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations
2026 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Euclid Collaboration, Y. Cao, A.R. Cooray, T. Li, Y. -T. Cheng, K. Tanidis, +91 more

0

citations
Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Luc P. J. Sträter, Hazel Doughty

0

citations