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Papers matching “inference efficiency” 374

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Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ben McEwen, Shiqi Zhang, Dan Stowell

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
Unifying Data, Memory, and Compute Efficiency in LLM Training: A Survey
2026 IEEE Transactions on Artificial Intelligence article Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Low-memory and high-performance CNN inference on distributed systems at the edge
2021 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion) conference-paper Computer Science IoT and Edge/Fog Computing Open access

Erqian Tang, Todor P. Stefanov

7

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 JuSER Publikationsportal article Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
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
Inference of cosmic-ray source properties by conditional invertible neural networks
2022 The European Physical Journal C article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Teresa Bister, Martin Erdmann, Ullrich Köthe, Josina Schulte

34

citations
Enhancing RAG Efficiency with Adaptive Context Compression
2025 Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) conference-paper Computer Science Topic Modeling Open access

Shuyu Guo, Zhaochun Ren

10

citations
Enhancing RAG Efficiency with Adaptive Context Compression
2025 Underline Science Inc. other Computer Science Topic Modeling Open access

Zhaochun Ren

0

citations
Cross-Modal Variance-Aware KV Cache Optimization for Efficient Multimodal Long-Context Inference
2026 Electronics article Computer Science Multimodal Machine Learning Applications Open access

S Liu, Yanli Lv, S AN, Chenghuan Yu, Yiwei Ru

1

citations
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit
2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent

Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more

17

citations
Development of an Expert System for Prediction of Deposition Efficiency in Plasma Spraying
2022 Journal of Thermal Spray Technology article Engineering High-Temperature Coating Behaviors Open access

Kirsten Bobzin, H. Heinemann, Seyed Ruhollah Dokhanchi

12

citations
Automated Exploration and Implementation of Distributed CNN Inference at the Edge
2023 IEEE Internet of Things Journal article Computer Science IoT and Edge/Fog Computing Open access

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

48

citations
UCLCHEMCMC: An MCMC Inference Tool for Physical Parameters of Molecular Clouds
2022 The Astrophysical Journal article Physics and Astronomy Astrophysics and Star Formation Studies Open access

Marcus Keil, S. Viti, Jonathan Holdship

6

citations
Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

citations
Exploiting Network Topology for Accelerated Bayesian Inference of Grain Surface Reaction Networks
2020 The Astrophysical Journal article Physics and Astronomy Astrophysics and Star Formation Studies Open access

Johannes Heyl, S. Viti, Jonathan Holdship, Stephen M. Feeney

10

citations
Buffer Sizes Reduction for Memory-efficient CNN Inference on Mobile and Embedded Devices
2020 Euromicro Conference on Digital System Design (DSD) conference-paper Computer Science Advanced Neural Network Applications Open access

Svetlana Minakova, Todor P. Stefanov

10

citations
Energy-Efficient and High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs
2022 Lecture notes in computer science conference-paper Computer Science Embedded Systems Design Techniques

Erqian Tang, Svetlana Minakova, Todor P. Stefanov

8

citations
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
Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
2025 conference-paper Mathematics Markov Chains and Monte Carlo Methods Open access

Johann F. Jadebeck, Wolfgang Wiechert, Katharina Nöh

0

citations
Faster Inference of Cell Complexes from Flows via Matrix Factorization
2025 European Signal Processing Conference (EUSIPCO) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Til Spreuer, Josef Hoppe, Michael T. Schaub

0

citations
Faster Inference of Cell Complexes from Flows via Matrix Factorization
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Til Spreuer, Josef Hoppe, Michael T. Schaub

0

citations