Tommy S. Alstrøm

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Variance Reduction

Heterogeneous Data

Top Venues

Publications

Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
Explaining time series models using frequency masking. CoRR (2024)
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 (2023)
Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm
Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series. MLSP (2023)
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)
Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm
Multi-view self-supervised learning for multivariate variable-channel time series. CoRR (2023)
Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm
Raman Spectrum Matching with Contrastive Representation Learning. CoRR (2022)
Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data. CoRR (2022)
Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen
Peak Detection and Baseline Correction Using a Convolutional Neural Network. ICASSP (2019)
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)
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)
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)
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)
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)
Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen
Haussdorff and hellinger for colorimetric sensor array classification. MLSP (2012)
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)
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)