Stefan Uhlich - RankMe

67 papers A* 1A 1C 1Misc 12Journal 44Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification. MLCAD Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
2025	J	`jnl`	GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification. CoRR Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
2025	Misc	`conf`	Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. ICASSP Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh-Hsin Lai, Stefan Uhlich, Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Yuki Mitsufuji
2025	J	`jnl`	Locality-aware Surrogates for Gradient-based Black-box Optimization. CoRR Ali Momeni, Stefan Uhlich, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Ryoga Matsuo, Eisaku Ohbuchi, Lorenzo Servadei
2025	J	`jnl`	Music Foundation Model as Generic Booster for Music Downstream Tasks. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Reverse Engineering of Music Mixing Graphs with Differentiable Processors and Iterative Pruning. CoRR Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji
2025	—	`conf`	Schemato - An LLM for Netlist-to-Schematic Conversion. MLCAD Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2025	J	`jnl`	SpiceMixer - Netlist-Level Circuit Evolution. CoRR Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Chia-Yu Hsieh, Mustafa Emre Gürsoy, Ryoga Matsuo, Lorenzo Servadei
2024	J	`jnl`	GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch. CoRR Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji
2024	J	`jnl`	GraCo - A Graph Composer for Integrated Circuits. CoRR Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Ali Momeni, Ryoga Matsuo, Chia-Yu Hsieh, Eisaku Ohbuchi, Lorenzo Servadei
2024	J	`jnl`	Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. CoRR 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
2024	J	`jnl`	Music Foundation Model as Generic Booster for Music Downstream Tasks. CoRR 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
2024	—	`conf`	SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. ECCV (69) Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville
2024	J	`jnl`	SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning. CoRR Bac Nguyen, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron C. Courville
2024	J	`jnl`	Schemato - An LLM for Netlist-to-Schematic Conversion. CoRR Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2024	J	`jnl`	Searching For Music Mixing Graphs: A Pruning Approach. CoRR Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji
2024	J	`jnl`	The Sound Demixing Challenge 2023 - Cinematic Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 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
2024	J	`jnl`	The Sound Demixing Challenge 2023 - Music Demixing Track. Trans. Int. Soc. Music. Inf. Retr. 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
2024	J	`jnl`	The whole is greater than the sum of its parts: improving music source separation by bridging networks. EURASIP J. Audio Speech Music. Process. Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji
2023	—	`conf`	A Statistical Model for Predicting Generalization in Few-Shot Classification. EUSIPCO Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2023	Misc	`conf`	Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling. ICASSP Bac Nguyen, Fabien Cardinaux, Stefan Uhlich
2023	Misc	`conf`	Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. ICASSP Bac Nguyen, Stefan Uhlich, Fabien Cardinaux
2023	J	`jnl`	Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation. CoRR Bac Nguyen, Stefan Uhlich, Fabien Cardinaux
2023	Misc	`conf`	Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. ICASSP Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji
2023	J	`jnl`	The Sound Demixing Challenge 2023 - Cinematic Demixing Track. CoRR 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
2023	J	`jnl`	The Sound Demixing Challenge 2023 - Music Demixing Track. CoRR 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
2023	J	`jnl`	The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation. CoRR Ryosuke Sawata, Naoya Takahashi, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji
2022	J	`jnl`	A Statistical Model for Predicting Generalization in Few-Shot Classification. CoRR Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García
2022	—	`conf`	Automatic music mixing with deep learning and out-of-domain data. ISMIR Marco A. Martínez Ramírez, Wei-Hsiang Liao, Chihiro Nagashima, Giorgio Fabbro, Stefan Uhlich, Yuki Mitsufuji
2022	J	`jnl`	Automatic music mixing with deep learning and out-of-domain data. CoRR Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Stefan Uhlich, Chihiro Nagashima, Yuki Mitsufuji
2022	J	`jnl`	Differentiable Duration Modeling for End-to-End Text-to-Speech. CoRR Bac Nguyen Cong, Fabien Cardinaux, Stefan Uhlich
2022	—	`conf`	Distortion Audio Effects: Learning How to Recover the Clean Signal. ISMIR Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji
2022	J	`jnl`	Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. CoRR Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji
2022	Misc	`conf`	Music Source Separation With Deep Equilibrium Models. ICASSP Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji
2022	J	`jnl`	Removing Distortion Effects in Music Using Deep Neural Networks. CoRR Johannes Imort, Giorgio Fabbro, Marco A. Martínez Ramírez, Stefan Uhlich, Yuichiro Koyama, Yuki Mitsufuji
2022	A	`conf`	TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. INTERSPEECH Ali Aroudi, Stefan Uhlich, Marc Ferras Font
2021	Misc	`conf`	All For One And One For All: Improving Music Separation By Bridging Networks. ICASSP Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji
2021	J	`jnl`	DNN Quantization with Attention. CoRR Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux
2021	J	`jnl`	Music Demixing Challenge at ISMIR 2021. CoRR Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich, Fabian-Robert Stöter
2021	J	`jnl`	Music Source Separation with Deep Equilibrium Models. CoRR Yuichiro Koyama, Naoki Murata, Stefan Uhlich, Giorgio Fabbro, Shusuke Takahashi, Yuki Mitsufuji
2021	J	`jnl`	TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. CoRR Ali Aroudi, Stefan Uhlich, Marc Ferras Font
2021	J	`jnl`	Training Speech Enhancement Systems with Noisy Speech Datasets. CoRR Koichi Saito, Stefan Uhlich, Giorgio Fabbro, Yuki Mitsufuji
2020	J	`jnl`	All for One and One for All: Improving Music Separation by Bridging Networks. CoRR Ryosuke Sawata, Stefan Uhlich, Shusuke Takahashi, Yuki Mitsufuji
2020	J	`jnl`	Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. CoRR Yuichiro Koyama, Tyler Vuong, Stefan Uhlich, Bhiksha Raj
2020	J	`jnl`	Iteratively Training Look-Up Tables for Network Quantization. IEEE J. Sel. Top. Signal Process. Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2020	A*	`conf`	Mixed Precision DNNs: All you need is a good parametrization. ICLR Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2020	J	`jnl`	Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain. IEEE ACM Trans. Audio Speech Lang. Process. Yuki Mitsufuji, Stefan Uhlich, Norihiro Takamune, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari
2020	J	`jnl`	Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. CoRR Mohammad Asif Khan, Fabien Cardinaux, Stefan Uhlich, Marc Ferras, Asja Fischer
2019	J	`jnl`	Closing the Training/Inference Gap for Deep Attractor Networks. CoRR Cyril Cadoux, Stefan Uhlich, Marc Ferras, Yuki Mitsufuji
2019	J	`jnl`	Differentiable Quantization of Deep Neural Networks. CoRR Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2019	J	`jnl`	Iteratively Training Look-Up Tables for Network Quantization. CoRR Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2019	J	`jnl`	Open-Unmix - A Reference Implementation for Music Source Separation. J. Open Source Softw. Fabian-Robert Stöter, Stefan Uhlich, Antoine Liutkus, Yuki Mitsufuji
2018	J	`jnl`	Improving DNN-based Music Source Separation using Phase Features. CoRR Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji
2018	J	`jnl`	Iteratively Training Look-Up Tables for Network Quantization. CoRR Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
2017	Misc	`conf`	Improving music source separation based on deep neural networks through data augmentation and network blending. ICASSP Stefan Uhlich, Marcello Porcu, Franck Giron, Michael Enenkl, Thomas Kemp, Naoya Takahashi, Yuki Mitsufuji
2015	J	`jnl`	Bayes Risk Reduction of Estimators Using Artificial Observation Noise. IEEE Trans. Signal Process. Stefan Uhlich
2015	Misc	`conf`	Deep neural network based instrument extraction from music. ICASSP Stefan Uhlich, Franck Giron, Yuki Mitsufuji
2015	Misc	`conf`	NMF-based blind source separation using a linear predictive coding error clustering criterion. ICASSP Xin Guo, Stefan Uhlich, Yuki Mitsufuji
2014	J	`jnl`	Computing Jacobian and Hessian of Estimators and Their Application to Risk Approximation. IEEE Signal Process. Lett. Stefan Uhlich
2012	J	`jnl`	Bayesian Estimation for Nonstandard Loss Functions Using a Parametric Family of Estimators. IEEE Trans. Signal Process. Stefan Uhlich, Bin Yang
2012	—	`—`	Parameter estimation with additional information. Stefan Uhlich
2011	Misc	`conf`	Recursive estimation of room impulse responses with energy conservation constraints. ICASSP Stefan Uhlich, Bin Yang
2010	—	`conf`	A parametric family of Bayesian estimators for non-standard loss functions. EUSIPCO Stefan Uhlich, Bin Yang
2010	J	`jnl`	Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints. IEEE Trans. Signal Process. Stefan Uhlich, Bin Yang
2009	Misc	`conf`	MMSE estimation in a linear signal model with ellipsoidal constraints. ICASSP Stefan Uhlich, Bin Yang
2009	C	`conf`	Robustification and optimization of a Kalman filter with measurement loss using linear precoding. ACC Rainer Blind, Stefan Uhlich, Bin Yang, Frank Allgöwer
2008	Misc	`conf`	A generalized optimal correlating transform for multiple description coding and its theoretical analysis. ICASSP Stefan Uhlich, Bin Yang