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Papers matching “inference efficiency” 374

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Deep learning models as learners for EEG-based functional brain networks*
2025 Journal of Neural Engineering article Neuroscience EEG and Brain-Computer Interfaces

Yuxuan Yang, Yanli Li

3

citations
Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution
2025 SIAM/ASA Journal on Uncertainty Quantification article Decision Sciences Optimal Experimental Design Methods Open access

Truong‐Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

1

citations
Integration of Key-value Attention into Pure and Hybrid Transformers for Semantic Segmentation
2025 Informatik aktuell conference-paper Computer Science Advanced Neural Network Applications Open access

DeShin Hwa, Klaus Drechsler

0

citations
Scalable method for Bayesian experimental design without integrating over posterior distribution
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Neuromorphic principles in self-attention hardware for efficient transformers
2025 Nature Computational Science article Engineering Advanced Memory and Neural Computing

Nathan Leroux, Jan Finkbeiner, Emre Neftci

1

citations
Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Shuyu Guo, Shuo Zhang, Zhaochun Ren

0

citations
Efficient Flow Matching for Sparse-View CT Reconstruction
2026 Lecture notes in computer science conference-paper Medicine Medical Imaging Techniques and Applications Open access

Jiayang Shi, Lincen Yang, Zhong Li, Tristan van Leeuwen, Daniël M. Pelt, K. Joost Batenburg

0

citations
Evidence for a Shallow Evolution in the Volume Densities of Massive Galaxies at z = 4–8 from CEERS
2024 The Astronomical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Katherine Chworowsky, Steven L. Finkelstein, Michael Boylan-Kolchin, Elizabeth J. McGrath, Kartheik G. Iyer, Casey Papovich, +31 more

41

citations
ConfASR: A Conformer Block Accelerator for Speech Recognition Optimized for Edge Devices
2026 Asia and South Pacific Design Automation Conference (ASP-DAC) conference-paper Computer Science Advanced Neural Network Applications Open access

Malte Wabnitz, M. Nilovic, Finn Scholz, Dominik Friedrich, Christian Lanius, Jie Lou, +1 more

1

citations
Ten things to remember about propensity scores
2024 European Journal of Endocrinology article Mathematics Advanced Causal Inference Techniques

Rolf H. H. Groenwold, Olaf M. Dekkers, Saskia le Cessie

2

citations
Efficient coupling of highly parallel computational fluid dynamics simulations with deep learning on heterogeneous architectures
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland

0

citations
eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval
2026 arXiv (Cornell University) preprint Neuroscience Functional Brain Connectivity Studies Open access

Xu Chen, Wouter D. Weeda, Thomas E. Nichols, Jelle J. Goeman

1

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Optimal Antenna Configuration Filtering and Joint Power Control in Fluid Antenna Multiple Access Networks
2025 IEEE Journal on Selected Areas in Communications article Engineering Advanced MIMO Systems Optimization

Xiaopeng Yuan, Ning Guo, Yulin Hu, Robert Schober, Anke Schmeink

8

citations
Tiefes Lernen in der Finite-Elemente-Methode
2021 RWTH Publications (RWTH Aachen) book Physics and Astronomy Model Reduction and Neural Networks Open access

Arnd Koeppe

9

citations
Dataflow Optimizations in a Sub-uW Data-Driven TCN Accelerator for Continuous ECG Monitoring
2022 IEEE Nordic Circuits and Systems Conference (NorCAS) conference-paper Engineering Low-power high-performance VLSI design

Johnson Loh, Tobias Gemmeke

5

citations
Inferring state‐dependent diversification rates using approximate Bayesian computation
2026 Methods in Ecology and Evolution article Earth and Planetary Sciences Evolution and Paleontology Studies Open access

Shu Xie, Luís Valente, Rampal S. Etienne

1

citations
Inferring state-dependent diversification rates using approximate Bayesian computation (ABC)
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Earth and Planetary Sciences Evolution and Paleontology Studies Open access

Shu Xie, Luís Valente, Rampal S. Etienne

1

citations
A Hardware-Aware Performance Analysis of Machine Learning Models for Sensor-Aided Millimeter-Wave Beam Prediction
2026 International Conference on Communications conference-paper Engineering Millimeter-Wave Propagation and Modeling Open access

Barış Sayitoğlu, Arish Sateesan, Marina Petrova, Ljiljana Simić

0

citations
Reconfigurable Computing in Neural Network‐Enhanced Finite Element Analysis in Structural Dynamics
2026 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Vasileios Polydoras, Saurabh Balkrishna Tandale, Marcus Stoffel

0

citations
A 1.1 μJ/Inference Binary Spiking Neural Network Accelerator for DVS Gesture Recognition
2025 IEEE Transactions on Circuits and Systems I Regular Papers article Engineering Advanced Memory and Neural Computing

Congyi Sun, Heng Zhang, Qinyu Chen, Yuxiang Fu, Li Li

3

citations
MIDIS: Unveiling the star formation history in massive galaxies at 1 < z < 4.5 with spectro-photometric analysis
2025 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Marianna Annunziatella, Pablo G. Pérez‐González, Javier Álvarez-Márquez, Luca Costantin, Edoardo Iani, Alvaro Labiano, +19 more

2

citations
On the ability to exploit signal fluctuations in pseudocontinuous arterial spin labeling for inferring the major flow territories from a traditional perfusion scan
2021 NeuroImage article Medicine Advanced MRI Techniques and Applications Open access

Thijs W. van Harten, Oleh Dzyubachyk, Reinoud P.H. Bokkers, Marieke J.H. Wermer, Matthias J.P. van Osch

1

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations