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2020 – today
- 2025
[i30]Ali Momeni, Stefan Uhlich, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Ryoga Matsuo, Eisaku Ohbuchi, Lorenzo Servadei:
Locality-aware Surrogates for Gradient-based Black-box Optimization. CoRR abs/2501.19161 (2025)- 2024
- [j10]Ryosuke Sawata
, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
The whole is greater than the sum of its parts: improving music source separation by bridging networks. EURASIP J. Audio Speech Music. Process. 2024(1): 39 (2024) - [j9]Stefan Uhlich, Giorgio Fabbro, Masato Hirano, Shusuke Takahashi, Gordon Wichern, Jonathan Le Roux, Dipam Chakraborty, Sharada Mohanty, Kai Li, Yi Luo, Jianwei Yu, Rongzhi Gu, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Mikhail Sukhovei, Yuki Mitsufuji:
The Sound Demixing Challenge 2023 - Cinematic Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 7(1): 44-62 (2024) - [j8]Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji:
The Sound Demixing Challenge 2023 - Music Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 7(1): 63-84 (2024) - [c19]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville:
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. ECCV (69) 2024: 138-154 - [i29]Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji:
Searching For Music Mixing Graphs: A Pruning Approach. CoRR abs/2406.01049 (2024) - [i28]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville:
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. CoRR abs/2407.03036 (2024) - [i27]Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji:
GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch. CoRR abs/2408.03204 (2024) - [i26]Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji:
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. CoRR abs/2409.06096 (2024) - [i25]Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji:
Music Foundation Model as Generic Booster for Music Downstream Tasks. CoRR abs/2411.01135 (2024) - [i24]Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Ali Momeni, Ryoga Matsuo, Chia-Yu Hsieh, Eisaku Ohbuchi, Lorenzo Servadei:
GraCo - A Graph Composer for Integrated Circuits. CoRR abs/2411.13890 (2024) - [i23]Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei:
Schemato - An LLM for Netlist-to-Schematic Conversion. CoRR abs/2411.13899 (2024) - 2023
- [c18]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO 2023: 1260-1264 - [c17]Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji:
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. ICASSP 2023: 1-5 - [c16]Bac Nguyen, Fabien Cardinaux, Stefan Uhlich:
Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling. ICASSP 2023: 1-5 - [c15]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux:
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. ICASSP 2023: 1-5 - [i22]Bac Nguyen, Stefan Uhlich, Fabien Cardinaux:
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. CoRR abs/2303.03717 (2023) - [i21]Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation. CoRR abs/2305.07855 (2023) - [i20]Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji:
The Sound Demixing Challenge 2023 - Music Demixing Track. CoRR abs/2308.06979 (2023) - [i19]Stefan Uhlich, Giorgio Fabbro, Masato Hirano, Shusuke Takahashi, Gordon Wichern, Jonathan Le Roux, Dipam Chakraborty, Sharada P. Mohanty, Kai Li, Yi Luo, Jianwei Yu, Rongzhi Gu, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Mikhail Sukhovei, Yuki Mitsufuji:
The Sound Demixing Challenge 2023 - Cinematic Demixing Track. CoRR abs/2308.06981 (2023) - 2022
- [c14]Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji:
Music Source Separation With Deep Equilibrium Models. ICASSP 2022: 296-300 - [c13]Ali Aroudi, Stefan Uhlich, Marc Ferras Font:
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. INTERSPEECH 2022: 911-915 - [c12]Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji:
Distortion Audio Effects: Learning How to Recover the Clean Signal. ISMIR 2022: 218-225 - [c11]Marco A. Martínez Ramírez, Wei-Hsiang Liao, Chihiro Nagashima, Giorgio Fabbro, Stefan Uhlich, Yuki Mitsufuji:
Automatic music mixing with deep learning and out-of-domain data. ISMIR 2022: 411-418 - [i18]Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji:
Removing Distortion Effects in Music Using Deep Neural Networks. CoRR abs/2202.01664 (2022) - [i17]Bac Nguyen Cong, Fabien Cardinaux, Stefan Uhlich:
Differentiable Duration Modeling for End-to-End Text-to-Speech. CoRR abs/2203.11049 (2022) - [i16]Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Stefan Uhlich, Chihiro Nagashima, Yuki Mitsufuji:
Automatic music mixing with deep learning and out-of-domain data. CoRR abs/2208.11428 (2022) - [i15]Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji:
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. CoRR abs/2211.02247 (2022) - [i14]Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR abs/2212.06461 (2022) - 2021
- [c10]Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
All For One And One For All: Improving Music Separation By Bridging Networks. ICASSP 2021: 51-55 - [i13]Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux:
DNN Quantization with Attention. CoRR abs/2103.13322 (2021) - [i12]Koichi Saito, Stefan Uhlich, Giorgio Fabbro, Yuki Mitsufuji:
Training Speech Enhancement Systems with Noisy Speech Datasets. CoRR abs/2105.12315 (2021) - [i11]Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich, Fabian-Robert Stöter:
Music Demixing Challenge at ISMIR 2021. CoRR abs/2108.13559 (2021) - [i10]Ali Aroudi, Stefan Uhlich, Marc Ferras Font:
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. CoRR abs/2110.04047 (2021) - [i9]Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji:
Music Source Separation with Deep Equilibrium Models. CoRR abs/2110.06494 (2021) - 2020
- [j7]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. IEEE J. Sel. Top. Signal Process. 14(4): 860-870 (2020) - [j6]Yuki Mitsufuji, Stefan Uhlich, Norihiro Takamune, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari:
Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain. IEEE ACM Trans. Audio Speech Lang. Process. 28: 49-60 (2020) - [c9]Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Mixed Precision DNNs: All you need is a good parametrization. ICLR 2020 - [i8]Mohammad Asif Khan, Fabien Cardinaux, Stefan Uhlich, Marc Ferras, Asja Fischer:
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. CoRR abs/2005.07810 (2020) - [i7]Yuichiro Koyama, Tyler Vuong, Stefan Uhlich, Bhiksha Raj:
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. CoRR abs/2005.11611 (2020) - [i6]Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji:
All for One and One for All: Improving Music Separation by Bridging Networks. CoRR abs/2010.04228 (2020)
2010 – 2019
- 2019
- [j5]Fabian-Robert Stöter, Stefan Uhlich, Antoine Liutkus, Yuki Mitsufuji:
Open-Unmix - A Reference Implementation for Music Source Separation. J. Open Source Softw. 4(41): 1667 (2019) - [i5]Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Differentiable Quantization of Deep Neural Networks. CoRR abs/1905.11452 (2019) - [i4]Cyril Cadoux, Stefan Uhlich, Marc Ferras, Yuki Mitsufuji:
Closing the Training/Inference Gap for Deep Attractor Networks. CoRR abs/1911.02091 (2019) - [i3]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. CoRR abs/1911.04951 (2019) - 2018
- [i2]Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji:
Improving DNN-based Music Source Separation using Phase Features. CoRR abs/1807.02710 (2018) - [i1]Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura:
Iteratively Training Look-Up Tables for Network Quantization. CoRR abs/1811.05355 (2018) - 2017
- [c8]Stefan Uhlich, Marcello Porcu, Franck Giron, Michael Enenkl, Thomas Kemp, Naoya Takahashi, Yuki Mitsufuji:
Improving music source separation based on deep neural networks through data augmentation and network blending. ICASSP 2017: 261-265 - 2015
- [j4]Stefan Uhlich:
Bayes Risk Reduction of Estimators Using Artificial Observation Noise. IEEE Trans. Signal Process. 63(20): 5535-5545 (2015) - [c7]Xin Guo, Stefan Uhlich, Yuki Mitsufuji:
NMF-based blind source separation using a linear predictive coding error clustering criterion. ICASSP 2015: 261-265 - [c6]Stefan Uhlich, Franck Giron, Yuki Mitsufuji:
Deep neural network based instrument extraction from music. ICASSP 2015: 2135-2139 - 2014
- [j3]Stefan Uhlich:
Computing Jacobian and Hessian of Estimators and Their Application to Risk Approximation. IEEE Signal Process. Lett. 21(4): 469-472 (2014) - 2012
- [b1]Stefan Uhlich:
Parameter estimation with additional information. University of Stuttgart, 2012 - [j2]Stefan Uhlich, Bin Yang:
Bayesian Estimation for Nonstandard Loss Functions Using a Parametric Family of Estimators. IEEE Trans. Signal Process. 60(3): 1022-1031 (2012) - 2011
- [c5]Stefan Uhlich, Bin Yang:
Recursive estimation of room impulse responses with energy conservation constraints. ICASSP 2011: 3648-3651 - 2010
- [j1]Stefan Uhlich, Bin Yang:
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints. IEEE Trans. Signal Process. 58(9): 4910-4915 (2010) - [c4]Stefan Uhlich, Bin Yang:
A parametric family of Bayesian estimators for non-standard loss functions. EUSIPCO 2010: 631-635
2000 – 2009
- 2009
- [c3]Rainer Blind, Stefan Uhlich, Bin Yang, Frank Allgöwer:
Robustification and optimization of a Kalman filter with measurement loss using linear precoding. ACC 2009: 2222-2227 - [c2]Stefan Uhlich, Bin Yang:
MMSE estimation in a linear signal model with ellipsoidal constraints. ICASSP 2009: 3249-3252 - 2008
- [c1]Stefan Uhlich, Bin Yang:
A generalized optimal correlating transform for multiple description coding and its theoretical analysis. ICASSP 2008: 2969-2972
Coauthor Index
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