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Tommy S. Alstrøm
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2020 – today
- 2024
- [j3]Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May:
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems. IEEE Signal Process. Lett. 31: 2225-2229 (2024) - [j2]Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U. Stich:
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity. Trans. Mach. Learn. Res. 2024 (2024) - [c15]Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May:
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler. ICASSP 2024: 10431-10435 - [c14]Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U. Stich:
An improved analysis of per-sample and per-update clipping in federated learning. ICLR 2024 - [i12]Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen:
Explaining time series models using frequency masking. CoRR abs/2406.13584 (2024) - 2023
- [j1]Philippe Gonzalez
, Tommy Sonne Alstrøm
, Tobias May
:
Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environments. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3390-3403 (2023) - [c13]Bo Li, Mikkel N. Schmidt
, Tommy S. Alstrøm
, Sebastian U. Stich:
On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data. CVPR 2023: 3964-3973 - [c12]Philippe Gonzalez, Tommy Sonne Alstrøm
, Tobias May
:
On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems. ICASSP 2023: 1-5 - [c11]Thea Brüsch, Mikkel N. Schmidt
, Tommy S. Alstrøm
:
Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series. MLSP 2023: 1-6 - [c10]David Frich Hansen, Tommy Sonne Alstrøm
, Mikkel N. Schmidt
:
Amortized Variational Peak Fitting For Spectroscopic Data. MLSP 2023: 1-6 - [i11]Philippe Gonzalez, Tommy Sonne Alstrøm, Tobias May:
On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems. CoRR abs/2301.10587 (2023) - [i10]Lenka Tetková
, Thea Brüsch, Teresa Karen Scheidt, Fabian Martin Mager, Rasmus Ørtoft Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen:
On convex conceptual regions in deep network representations. CoRR abs/2305.17154 (2023) - [i9]Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich:
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity. CoRR abs/2306.13263 (2023) - [i8]Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm:
Multi-view self-supervised learning for multivariate variable-channel time series. CoRR abs/2307.09614 (2023) - [i7]Philippe Gonzalez, Tommy Sonne Alstrøm, Tobias May:
Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environments. CoRR abs/2309.06183 (2023) - [i6]Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May:
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler. CoRR abs/2312.02683 (2023) - [i5]Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May:
Investigating the Design Space of Diffusion Models for Speech Enhancement. CoRR abs/2312.04370 (2023) - 2022
- [i4]Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm:
Raman Spectrum Matching with Contrastive Representation Learning. CoRR abs/2202.12549 (2022) - [i3]Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich:
Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data. CoRR abs/2212.02191 (2022) - 2021
- [i2]Milena Bajic
, Shahrzad M. Pour, Asmus Skar, Matteo Pettinari, Eyal Levenberg, Tommy Sonne Alstrøm:
Road Roughness Estimation Using Machine Learning. CoRR abs/2107.01199 (2021) - 2020
- [i1]Bo Li, Tommy Sonne Alstrøm:
On uncertainty estimation in active learning for image segmentation. CoRR abs/2007.06364 (2020)
2010 – 2019
- 2019
- [c9]Mikkel N. Schmidt
, Tommy S. Alstrøm
, Marcus Svendstorp, Jan Larsen
:
Peak Detection and Baseline Correction Using a Convolutional Neural Network. ICASSP 2019: 2757-2761 - [c8]Lukasz T. Bienias, Juanjo R. Guillamón, Line H. Nielsen
, Tommy S. Alstrøm
:
Insights Into The Behaviour Of Multi-Task Deep Neural Networks For Medical Image Segmentation. MLSP 2019: 1-6 - [c7]Maximillian Fornitz Vording, Peter O. Okeyo
, Juan J. R. Guillamón, Peter E. Larsen, Mikkel N. Schmidt
, Tommy S. Alstrøm
:
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators. MLSP 2019: 1-6 - 2017
- [c6]Tommy S. Alstrøm
, Mikkel N. Schmidt
, Tomas Rindzevicius
, Anja Boisen
, Jan Larsen
:
A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy. ICASSP 2017: 2317-2321 - 2016
- [c5]Mirkó Palla
, Shiv Kumar, Zengmin Li, Steffen Jockusch
, James J. Russo, Jingyue Ju, Filippo G. Bosco, Tomas Rindzevicius
, Tommy S. Alstrøm
, Michael S. Schmidt, Anja Boisen
:
Click chemistry based biomolecular conjugation monitoring using surface-enhanced Raman spectroscopy mapping. IEEE SENSORS 2016: 1-3 - 2014
- [c4]Tommy S. Alstrøm
, Kasper B. Frohling, Jan Larsen
, Mikkel N. Schmidt
, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen
:
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization. MLSP 2014: 1-6 - 2012
- [c3]Tommy S. Alstrøm
, Raviv Raich, Natalie V. Kostesha, Jan Larsen
:
Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors. ICASSP 2012: 2125-2128 - [c2]Tommy S. Alstrøm
, Bjørn Sand Jensen, Mikkel N. Schmidt
, Natalie V. Kostesha, Jan Larsen
:
Haussdorff and hellinger for colorimetric sensor array classification. MLSP 2012: 1-6 - 2011
- [c1]Tommy S. Alstrøm
, Jan Larsen
, Natalie V. Kostesha, Mogens H. Jakobsen, Anja Boisen
:
Data representation and feature selection for colorimetric sensor arrays used as explosives detectors. MLSP 2011: 1-6
Coauthor Index
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last updated on 2024-09-10 23:42 CEST by the dblp team
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