A generalized optimal correlating transform for multiple description coding and its theoretical analysis. - Stefan Uhlich; Bin Yang 009 (ICASSP, 2008)

Robustification and optimization of a Kalman filter with measurement loss using linear precoding. - Rainer Blind; Stefan Uhlich; Bin Yang 009; Frank Allgöwer (ACC, 2009)

MMSE estimation in a linear signal model with ellipsoidal constraints. - Stefan Uhlich; Bin Yang 009 (ICASSP, 2009)

A parametric family of Bayesian estimators for non-standard loss functions. - Stefan Uhlich; Bin Yang 009 (EUSIPCO, 2010)

Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints. - Stefan Uhlich; Bin Yang 009 (IEEE Trans. Signal Process., 2010)

Recursive estimation of room impulse responses with energy conservation constraints. - Stefan Uhlich; Bin Yang 009 (ICASSP, 2011)

Bayesian Estimation for Nonstandard Loss Functions Using a Parametric Family of Estimators. - Stefan Uhlich; Bin Yang 009 (IEEE Trans. Signal Process., 2012)

Parameter estimation with additional information. - Stefan Uhlich (2012)

Computing Jacobian and Hessian of Estimators and Their Application to Risk Approximation. - Stefan Uhlich (IEEE Signal Process. Lett., 2014)

NMF-based blind source separation using a linear predictive coding error clustering criterion. - Xin Guo 010; Stefan Uhlich; Yuki Mitsufuji (ICASSP, 2015)

Deep neural network based instrument extraction from music. - Stefan Uhlich; Franck Giron; Yuki Mitsufuji (ICASSP, 2015)

Bayes Risk Reduction of Estimators Using Artificial Observation Noise. - Stefan Uhlich (IEEE Trans. Signal Process., 2015)

Improving music source separation based on deep neural networks through data augmentation and network blending. - Stefan Uhlich; Marcello Porcu; Franck Giron; Michael Enenkl; Thomas Kemp; Naoya Takahashi; Yuki Mitsufuji (ICASSP, 2017)

Improving DNN-based Music Source Separation using Phase Features. - Joachim Muth; Stefan Uhlich; Nathanaël Perraudin; Thomas Kemp; Fabien Cardinaux; Yuki Mitsufuji (CoRR, 2018)

Iteratively Training Look-Up Tables for Network Quantization. - Fabien Cardinaux; Stefan Uhlich; Kazuki Yoshiyama; Javier Alonso García; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (CoRR, 2018)

Differentiable Quantization of Deep Neural Networks. - Stefan Uhlich; Lukas Mauch; Kazuki Yoshiyama; Fabien Cardinaux; Javier Alonso García; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (CoRR, 2019)

Closing the Training/Inference Gap for Deep Attractor Networks. - Cyril Cadoux; Stefan Uhlich; Marc Ferras; Yuki Mitsufuji (CoRR, 2019)

Open-Unmix - A Reference Implementation for Music Source Separation. - Fabian-Robert Stöter; Stefan Uhlich; Antoine Liutkus; Yuki Mitsufuji (J. Open Source Softw., 2019)

Open-Unmix - A Reference Implementation for Music Source Separation. - Fabian-Robert Stöter; Stefan Uhlich; Antoine Liutkus; Yuki Mitsufuji (Zenodo, 2019)

Mixed Precision DNNs: All you need is a good parametrization. - Stefan Uhlich; Lukas Mauch; Fabien Cardinaux; Kazuki Yoshiyama; Javier Alonso García; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (ICLR, 2020)

Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. - Mohammad Asif Khan 001; Fabien Cardinaux; Stefan Uhlich; Marc Ferras; Asja Fischer (CoRR, 2020)

Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. - Yuichiro Koyama; Tyler Vuong; Stefan Uhlich; Bhiksha Raj (CoRR, 2020)

Iteratively Training Look-Up Tables for Network Quantization. - Fabien Cardinaux; Stefan Uhlich; Kazuki Yoshiyama; Javier Alonso García; Lukas Mauch; Stephen Tiedemann; Thomas Kemp; Akira Nakamura (IEEE J. Sel. Top. Signal Process., 2020)

Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain. - Yuki Mitsufuji; Stefan Uhlich; Norihiro Takamune; Daichi Kitamura; Shoichi Koyama; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Open-Unmix for Speech Enhancement (UMX SE). - Stefan Uhlich; Yuki Mitsufuji (Zenodo, 2020)

All For One And One For All: Improving Music Separation By Bridging Networks. - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2021)

DNN Quantization with Attention. - Ghouthi Boukli Hacene; Lukas Mauch; Stefan Uhlich; Fabien Cardinaux (CoRR, 2021)

Training Speech Enhancement Systems with Noisy Speech Datasets. - Koichi Saito; Stefan Uhlich; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 2021)

Music Demixing Challenge at ISMIR 2021. - Yuki Mitsufuji; Giorgio Fabbro; Stefan Uhlich; Fabian-Robert Stöter (CoRR, 2021)

CrossNet-Open-Unmix for Music Source Separation (X-UMX). - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (Zenodo, 2021)

CrossNet-Open-Unmix for Music Source Separation (X-UMX-HQ). - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (Zenodo, 2021)

Music Source Separation With Deep Equilibrium Models. - Yuichiro Koyama; Naoki Murata; Stefan Uhlich; Giorgio Fabbro; Shusuke Takahashi; Yuki Mitsufuji (ICASSP, 2022)

TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. - Ali Aroudi; Stefan Uhlich; Marc Ferras Font (INTERSPEECH, 2022)

Distortion Audio Effects: Learning How to Recover the Clean Signal. - Johannes Imort; Giorgio Fabbro; Marco A. Martínez Ramírez; Stefan Uhlich; Yuichiro Koyama; Yuki Mitsufuji (ISMIR, 2022)

Automatic music mixing with deep learning and out-of-domain data. - Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Chihiro Nagashima; Giorgio Fabbro; Stefan Uhlich; Yuki Mitsufuji (ISMIR, 2022)

Removing Distortion Effects in Music Using Deep Neural Networks. - Johannes Imort; Giorgio Fabbro; Marco A. Martínez Ramírez; Stefan Uhlich; Yuichiro Koyama; Yuki Mitsufuji (CoRR, 2022)

Differentiable Duration Modeling for End-to-End Text-to-Speech. - Bac Nguyen Cong; Fabien Cardinaux; Stefan Uhlich (CoRR, 2022)

A Statistical Model for Predicting Generalization in Few-Shot Classification. - Yassir Bendou; Vincent Gripon; Bastien Pasdeloup; Lukas Mauch; Stefan Uhlich; Fabien Cardinaux; Ghouthi Boukli Hacene; Javier Alonso García (CoRR, 2022)

CrossNet-Open-Unmix for Music Source Separation (X-UMXL). - Ryosuke Sawata; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (Zenodo, 2022)

A Statistical Model for Predicting Generalization in Few-Shot Classification. - Yassir Bendou; Vincent Gripon; Bastien Pasdeloup; Giulia Lioi; Lukas Mauch; Stefan Uhlich; Fabien Cardinaux; Ghouthi Boukli Hacene; Javier Alonso García (EUSIPCO, 2023)

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. - Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Kyogu Lee; Yuki Mitsufuji (ICASSP, 2023)

Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling. - Bac Nguyen; Fabien Cardinaux; Stefan Uhlich (ICASSP, 2023)

Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. - Bac Nguyen; Stefan Uhlich; Fabien Cardinaux (ICASSP, 2023)

The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation. - Ryosuke Sawata; Naoya Takahashi; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (CoRR, 2023)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track. - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada P. Mohanty; Kai Li; Yi Luo 004; Jianwei Yu 001; Rongzhi Gu; et al. (CoRR, 2023)

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. - Bac Nguyen; Stefan Uhlich; Fabien Cardinaux; Lukas Mauch; Marzieh Edraki; Aaron C. Courville (ECCV (69), 2024)

Searching For Music Mixing Graphs: A Pruning Approach. - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch. - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 2024)

GraCo - A Graph Composer for Integrated Circuits. - Stefan Uhlich; Andrea Bonetti; Arun Venkitaraman; Ali Momeni 002; Ryoga Matsuo; Chia-Yu Hsieh; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2024)

Schemato - An LLM for Netlist-to-Schematic Conversion. - Ryoga Matsuo; Stefan Uhlich; Arun Venkitaraman; Andrea Bonetti; Chia-Yu Hsieh; Ali Momeni 002; Lukas Mauch; Augusto Capone; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2024)

The Sound Demixing Challenge 2023 - Music Demixing Track. - Giorgio Fabbro; Stefan Uhlich; Chieh-Hsin Lai; Woosung Choi; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

The Sound Demixing Challenge 2023 - Cinematic Demixing Track. - Stefan Uhlich; Giorgio Fabbro; Masato Hirano; Shusuke Takahashi; Gordon Wichern; Jonathan Le Roux; Dipam Chakraborty; Sharada Mohanty; Kai Li; Yi Luo 004; Jianwei Yu 001; Rongzhi Gu; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

The whole is greater than the sum of its parts: improving music source separation by bridging networks. - Ryosuke Sawata; Naoya Takahashi; Stefan Uhlich; Shusuke Takahashi; Yuki Mitsufuji (EURASIP J. Audio Speech Music. Process., 2024)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Eloi Moliner; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Yuki Mitsufuji (ICASSP, 2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

Locality-aware Surrogates for Gradient-based Black-box Optimization. - Ali Momeni 002; Stefan Uhlich; Arun Venkitaraman; Chia-Yu Hsieh; Andrea Bonetti; Ryoga Matsuo; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2025)

SpiceMixer - Netlist-Level Circuit Evolution. - Stefan Uhlich; Andrea Bonetti; Arun Venkitaraman; Chia-Yu Hsieh; Mustafa Emre Gürsoy; Ryoga Matsuo; Lorenzo Servadei (CoRR, 2025)