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ORCIDMatthias Dorfer
2020 – today
- 2025
[i20]Maurits Bleeker, Matthias Dorfer, Tobias Kronlachner, Reinhard Sonnleitner, Benedikt Alkin, Johannes Brandstetter:
NeuralCFD: Deep Learning on High-Fidelity Automotive Aerodynamics Simulations. CoRR abs/2502.09692 (2025)- 2023
- [i19]Anton R. Fuxjäger, Kristián Kozák, Matthias Dorfer, Patrick M. Blies, Marcel Wasserer:
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control. CoRR abs/2302.07654 (2023) - 2022
- [c25]Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter:
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. ICML 2022: 17531-17572 - [i18]Matthias Dorfer, Anton R. Fuxjäger, Kristián Kozák, Patrick M. Blies, Marcel Wasserer:
Power Grid Congestion Management via Topology Optimization with AlphaZero. CoRR abs/2211.05612 (2022) - 2020
- [c24]Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter:
XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML 2020: 177-205 - [i17]Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter:
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR abs/2009.14108 (2020)
2010 – 2019
- 2019
- [j6]Meinard Müller
, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. IEEE Signal Process. Mag. 36(1): 52-62 (2019) - [j5]Florian Henkel, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Score Following as a Multi-Modal Reinforcement Learning Problem. Trans. Int. Soc. Music. Inf. Retr. 2(1): 67-81 (2019) - [j4]Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer:
Feature-combination hybrid recommender systems for automated music playlist continuation. User Model. User Adapt. Interact. 29(2): 527-572 (2019) - [c23]Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. EUSIPCO 2019: 1-5 - [c22]Stefan Balke, Matthias Dorfer, Luís Carvalho, Andreas Arzt, Gerhard Widmer:
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. ISMIR 2019: 216-222 - [i16]Meinard Müller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. CoRR abs/1902.04397 (2019) - [i15]Stefan Balke, Matthias Dorfer, Luís Carvalho, Andreas Arzt, Gerhard Widmer:
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. CoRR abs/1906.10996 (2019) - [i14]Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1907.01803 (2019) - 2018
- [j3]Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer:
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. Int. J. Multim. Inf. Retr. 7(2): 117-128 (2018) - [j2]Matthias Dorfer, Jan Hajic Jr., Andreas Arzt, Harald Frostel, Gerhard Widmer:
Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. Trans. Int. Soc. Music. Inf. Retr. 1(1): 22-31 (2018) - [c21]Matthias Dorfer, Gerhard Widmer:
Training general-purpose audio tagging networks with noisy labels and iterative self-verification. DCASE 2018: 178-182 - [c20]Jan Hajic Jr., Matthias Dorfer, Gerhard Widmer, Pavel Pecina:
Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets. ISMIR 2018: 225-232 - [c19]Matthias Dorfer, Florian Henkel, Gerhard Widmer:
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. ISMIR 2018: 784-791 - [c18]Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A hybrid approach to music playlist continuation based on playlist-song membership. SAC 2018: 1374-1382 - [i13]Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership. CoRR abs/1805.09557 (2018) - [i12]Matthias Dorfer, Florian Henkel, Gerhard Widmer:
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. CoRR abs/1807.06391 (2018) - [i11]Matthias Dorfer, Jan Hajic Jr., Gerhard Widmer:
Attention as a Perspective for Learning Tempo-invariant Audio Queries. CoRR abs/1809.05689 (2018) - 2017
- [c17]Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer:
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. EUSIPCO 2017: 2749-2753 - [c16]Andreas Arzt, Matthias Dorfer:
Aktuelle Entwicklungen in der Automatischen Musikverfolgung. GI-Jahrestagung 2017: 49-60 - [c15]Richard Vogl, Matthias Dorfer, Peter Knees:
Drum transcription from polyphonic music with recurrent neural networks. ICASSP 2017: 201-205 - [c14]Matthias Dorfer, Jan Hajic Jr., Gerhard Widmer:
On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection. GREC@ICDAR 2017: 53-54 - [c13]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Learning Audio-Sheet Music Correspondences for Score Identification and Offline Alignment. ISMIR 2017: 115-122 - [c12]Richard Vogl, Matthias Dorfer, Gerhard Widmer, Peter Knees:
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. ISMIR 2017: 150-157 - [c11]Khaled Koutini, Alina Imenina, Matthias Dorfer, Alexander Gruber, Markus Schedl:
MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. MediaEval 2017 - [c10]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys 2017: 46-54 - [i10]Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer:
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss. CoRR abs/1705.06979 (2017) - [i9]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. CoRR abs/1705.08283 (2017) - [i8]Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer:
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1706.06525 (2017) - [i7]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment. CoRR abs/1707.09887 (2017) - [i6]Andreas Arzt, Matthias Dorfer:
Aktuelle Entwicklungen in der Automatischen Musikverfolgung. CoRR abs/1708.02100 (2017) - [i5]Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
Deep Within-Class Covariance Analysis for Acoustic Scene Classification. CoRR abs/1711.04022 (2017) - 2016
- [j1]Matthias Dorfer, Tomas Kazmar, Matej Smíd, Sanchit Sing, Julia Kneißl, Simone Keller, Olivier Debeir, Birgit Luber, Julian Mattes:
Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories. Medical Image Anal. 27: 72-83 (2016) - [c9]Matthias Dorfer, Julian Mattes:
Recursive water flow: A shape decomposition approach for cell clump splitting. ISBI 2016: 811-815 - [c8]Florian Krebs, Sebastian Böck, Matthias Dorfer, Gerhard Widmer:
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks. ISMIR 2016: 129-135 - [c7]Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer:
On the Potential of Simple Framewise Approaches to Piano Transcription. ISMIR 2016: 475-481 - [c6]Richard Vogl, Matthias Dorfer, Peter Knees:
Recurrent Neural Networks for Drum Transcription. ISMIR 2016: 730-736 - [c5]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Towards Score Following In Sheet Music Images. ISMIR 2016: 789-795 - [c4]Matthias Dorfer, Rainer Kelz, Gerhard Widmer:
Deep Linear Discriminant Analysis. ICLR (Poster) 2016 - [i4]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Towards Score Following in Sheet Music Images. CoRR abs/1612.05050 (2016) - [i3]Matthias Dorfer, Andreas Arzt, Gerhard Widmer:
Towards End-to-End Audio-Sheet-Music Retrieval. CoRR abs/1612.05070 (2016) - [i2]Matthias Dorfer, Andreas Arzt, Sebastian Böck, Amaury Durand, Gerhard Widmer:
Live Score Following on Sheet Music Images. CoRR abs/1612.05076 (2016) - [i1]Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Böck, Andreas Arzt, Gerhard Widmer:
On the Potential of Simple Framewise Approaches to Piano Transcription. CoRR abs/1612.05153 (2016) - 2015
- [c3]Markus Krenn, Matthias Dorfer, Oscar Alfonso Jiménez del Toro, Henning Müller, Bjoern H. Menze, Marc-André Weber, Allan Hanbury, Georg Langs:
Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations. MCV@MICCAI 2015: 103-115 - 2013
- [c2]Matthias Dorfer, René Donner, Georg Langs:
Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling. MICCAI (1) 2013: 219-226 - 2012
- [c1]Heinrich Garn, Markus Waser, Manuel Lechner, Matthias Dorfer, Dieter Grossegger:
Robust, automatic real-time monitoring of the time course of the individual alpha frequency in the time and frequency domain. EMBC 2012: 2227-2231
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