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2020 – today
- 2024
[c20]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement. IJCNN 2024: 1-7- 2023
- [c19]Yuying Xie
, Thomas Arildsen, Zheng-Hua Tan:
Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder. EUSIPCO 2023: 1330-1334 - 2022
- [i10]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder. CoRR abs/2211.08191 (2022) - 2021
- [c18]Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective. MLSP 2021: 1-6
2010 – 2019
- 2018
- [b1]Peter R. Turner, Thomas Arildsen, Kathleen Kavanagh:
Applied Scientific Computing - With Python. Texts in Computer Science, Springer 2018, ISBN 978-3-319-89574-1, pp. 1-266 - 2017
- [j5]Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito:
Sustainable computational science: the ReScience initiative. PeerJ Comput. Sci. 3: e142 (2017) - [i9]Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito:
Sustainable computational science: the ReScience initiative. CoRR abs/1707.04393 (2017) - 2016
- [j4]Jacek Pierzchlewski, Thomas Arildsen:
Generation and Analysis of Constrained Random Sampling Patterns. Circuits Syst. Signal Process. 35(10): 3619-3643 (2016) - [j3]Thomas Arildsen, Christian Schou Oxvig, Patrick Steffen Pedersen, Jan Østergaard, Torben Larsen:
Reconstruction Algorithms in Undersampled AFM Imaging. IEEE J. Sel. Top. Signal Process. 10(1): 31-46 (2016) - [c17]Christian Schou Oxvig, Thomas Arildsen, Torben Larsen:
Storing Reproducible Results from Computational Experiments using Scientific Python Packages. SciPy 2016: 45-50 - [i8]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - 2015
- [c16]Jacek Pierzchlewski, Thomas Arildsen:
Frequency-selective signal sensing with sub-Nyquist uniform sampling scheme. SECON 2015: 166-168 - [i7]Jacek Pierzchlewski, Thomas Arildsen:
Frequency Selective Compressed Sensing. CoRR abs/1501.01792 (2015) - 2014
- [j2]Thomas Arildsen, Torben Larsen:
Compressed sensing with linear correlation between signal and measurement noise. Signal Process. 98: 275-283 (2014) - [c15]Jacek Pierzchlewski, Thomas Arildsen, Torben Larsen:
Compressed sensing based direct conversion receiver with interference reducing sampling strategy. SECON 2014: 188-190 - [i6]Jacek Pierzchlewski, Thomas Arildsen, Torben Larsen:
Compressed Sensing Based Direct Conversion Receiver With Interference Reducing Sampling. CoRR abs/1404.6150 (2014) - [i5]Jacek Pierzchlewski, Thomas Arildsen:
Generation and Analysis of Constrained Random Sampling Patterns. CoRR abs/1409.1002 (2014) - 2013
- [c14]Ruben Grigoryan, Tobias Lindstrøm Jensen, Thomas Arildsen, Torben Larsen:
Reducing the computational complexity of reconstruction in compressed sensing nonuniform sampling. EUSIPCO 2013: 1-5 - [c13]Christian Schou Oxvig, Patrick Steffen Pedersen, Thomas Arildsen, Torben Larsen:
Surpassing the theoretical 1-norm phase transition in compressive sensing by tuning the smoothed l0 algorithm. ICASSP 2013: 6019-6023 - [c12]Tobias Lindstrøm Jensen, Thomas Arildsen, Jan Østergaard, Torben Larsen:
Reconstruction of Undersampled Atomic Force Microscopy Images: Interpolation versus Basis Pursuit. SITIS 2013: 130-135 - [i4]Thomas Arildsen, Torben Larsen:
Compressed Sensing with Correlation Between Measurements and Noise. CoRR abs/1301.0213 (2013) - [i3]Pawel Jerzy Pankiewicz, Thomas Arildsen, Torben Larsen:
Model-Based Calibration of Filter Imperfections in the Random Demodulator for Compressive Sensing. CoRR abs/1303.6135 (2013) - 2012
- [c11]Karsten Fyhn, Thomas Arildsen, Torben Larsen, Søren Holdt Jensen:
Demodulating subsampled Direct Sequence Spread Spectrum signals using compressive signal processing. EUSIPCO 2012: 2556-2560 - [c10]Thomas L. Hansen, D. H. Johansen, Peter Bjørn Jørgensen, Kasper F. Trillingsgaard, Thomas Arildsen, Karsten Fyhn, Torben Larsen:
Compressed sensing with rank deficient dictionaries. GLOBECOM 2012: 3594-3599 - [c9]Jacek Pierzchlewski, Thomas Arildsen, Torben Larsen:
Compressed sensing-based direct conversion receiver. ISCIT 2012: 804-809 - [c8]Tobias Lindstrøm Jensen, Karsten Fyhn, Thomas Arildsen, Torben Larsen:
Downsampling of DFT precoded signals for the AWGN channel. ISSPIT 2012: 141-146 - [c7]Ruben Grigoryan, Thomas Arildsen, Deepaknath Tandur, Torben Larsen:
Performance comparison of reconstruction algorithms in discrete blind multi-coset sampling. ISSPIT 2012: 147-152 - [c6]Peng Li, Thomas Arildsen, Torben Larsen:
Extended reconstruction approaches for saturation measurements using reserved quantization indices. ISSPIT 2012: 198-202 - [i2]Christian Schou Oxvig, Patrick Steffen Pedersen, Thomas Arildsen, Torben Larsen:
Improving Smoothed l0 Norm in Compressive Sensing Using Adaptive Parameter Selection. CoRR abs/1210.4277 (2012) - 2011
- [c5]Hao Shen, Thomas Arildsen, Deepaknath Tandur, Torben Larsen:
Blind multiband spectrum signals reconstruction algorithms comparison. EUSIPCO 2011: 353-357 - [c4]Pawel Jerzy Pankiewicz, Thomas Arildsen, Torben Larsen:
Sensitivity of the random demodulation framework to filter tolerances. EUSIPCO 2011: 534-538 - [i1]Karsten Fyhn, Thomas Arildsen, Torben Larsen, Søren Holdt Jensen:
Demodulation of a Subsampled Direct Sequence Spread Spectrum Signal using Compressive Signal Processing. CoRR abs/1110.5176 (2011) - 2010
- [c3]Thomas Arildsen, Jan Østergaard, Manohar N. Murthi, Søren Vang Andersen, Søren Holdt Jensen:
Fixed-Lag Smoothing for Low-Delay Predictive Coding with Noise Shaping for Lossy Networks. DCC 2010: 279-287
2000 – 2009
- 2009
- [j1]Thomas Arildsen, Manohar N. Murthi, Søren Vang Andersen, Søren Holdt Jensen:
On predictive coding for erasure channels using a Kalman framework. IEEE Trans. Signal Process. 57(11): 4456-4466 (2009) - [c2]Thomas Arildsen, Manohar N. Murthi, Søren Vang Andersen, Søren Holdt Jensen:
On Predictive Coding for erasure channels using a Kalman framework. EUSIPCO 2009: 1646-1650 - 2006
- [c1]Tatiana K. Madsen, Frank H. P. Fitzek, Shekar Nethi, Thomas Arildsen, Gian Paolo Perrucci:
Novel IP Header Compression Technique for Wireless Technologies with Fixed Link Layer Packet Types. GLOBECOM 2006
Coauthor Index
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