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Papers matching “compact modeling” 50

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Discriminative feature modeling for statistical speech recognition
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Zoltán Tüske

1

citations
Domain Robust, Fast, and Compact Neural Language Models
2020 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech Recognition and Synthesis

Alexander Gerstenberger, Kazuki Irie, Pavel Golik, Eugen Beck, Hermann Ney

3

citations
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning
2025 IEEE International Symposium on Circuits and Systems proceedings conference-paper Computer Science Speech and Audio Processing Open access

Qinyu Chen, Jan C. van Gemert, Chang Gao

3

citations
Hawk: Module LIP Makes Lattice Signatures Fast, Compact and Simple
2022 Lecture notes in computer science conference-paper Computer Science Cryptography and Data Security Open access

Léo Ducas, Eamonn W. Postlethwaite, Ludo N. Pulles, Wessel van Woerden

61

citations
What model does MuZero learn?
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland

0

citations
Investigation of Large-Margin Softmax in Neural Language Modeling
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney

0

citations
Investigation of Large-Margin Softmax in Neural Language Modeling
2020 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney

0

citations
What Model Does MuZero Learn?
2024 Frontiers in artificial intelligence and applications book-chapter Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek

1

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

15

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2022 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

1

citations
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data
2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Reconstructing Disease Histories in Huge Discrete State Spaces
2024 Künstliche Intell. article Computer Science Bayesian Modeling and Causal Inference Open access

Rudolf Schill, Maren Klever, Kevin Rupp, Y. Linda Hu, Peter Georg, Simon Pfahler, +5 more

11

citations
Optimal Refinement in Dynamic Discretisation Discovery for Continuous-Time Service Network Design
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Alexander Helber, Oliver Bachtler, Tom Wüllner

0

citations
The Logic of Separation Logic: Models and Proofs
2023 Lecture notes in computer science conference-paper Computer Science Logic, programming, and type systems Open access

Frank S. de Boer, Hans-Dieter A. Hiep, Stijn de Gouw

1

citations
A diagrammatic approach to variational quantum ansatz construction
2021 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Yaroslav Herasymenko, Thomas E. O’Brien

20

citations
Neural network input feature selection using structured l2 − norm penalization
2022 Applied Intelligence article Computer Science Neural Networks and Applications Open access

Nathaniel Egwu, Thomas Mrziglod, Andreas Schuppert

7

citations
Space-time adaptive methods for poroviscoelastic flow models
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Mathematical Modeling in Engineering Open access

Simon Boisserée

0

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
TELLER: Dual-Path Iterative Preference Optimization for Table Entity Linking
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yixin Peng, Kuan Li, Stefan Decker

0

citations
The risk of KV cache compression
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Lukas Haverbeck, Carmen Amo Alonso, Andrés Felipe Posada-Moreno, Sebastian Trimpe, Marco Pavone

0

citations
Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation
2024 Sensors article Computer Science Music and Audio Processing Open access

Drew Priebe, Burooj Ghani, Dan Stowell

12

citations
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation
2023 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Drew Priebe, Burooj Ghani, Dan Stowell

0

citations
Hybrid quantum neural networks: harnessing dressed quantum circuits for enhanced tsunami prediction via earthquake data fusion
2025 EPJ Quantum Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Shivanya Shomir Dutta, Sahil Sandeep, S. Amutha

15

citations
Mask4Former: Mask Transformer for 4D Panoptic Segmentation
2024 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications

Jonas Schult, Bastian Leibe

19

citations
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization
2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

17

citations