Stefan Lattner

74 papers A* 1B 1C 1Misc 5Journal 43Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion Timbre Transfer Via Mutual Information Guided Inpainting. CoRR Ching Ho Lee, Javier Nistal, Stefan Lattner, Marco Pasini, George Fazekas
2025	—	`conf`	Assessing the Alignment of Audio Representations With Timbre Similarity Ratings. ISMIR Haokun Tian, Stefan Lattner, Charalampos Saitis
2025	J	`jnl`	Assessing the Alignment of Audio Representations with Timbre Similarity Ratings. CoRR Haokun Tian, Stefan Lattner, Charalampos Saitis
2025	—	`conf`	CoDiCodec: Unifying Continuous and Discrete Compressed Representations of Audio. ISMIR Marco Pasini, Stefan Lattner, George Fazekas
2025	J	`jnl`	CoDiCodec: Unifying Continuous and Discrete Compressed Representations of Audio. CoRR Marco Pasini, Stefan Lattner, George Fazekas
2025	—	`conf`	Estimating Musical Surprisal from Audio in Autoregressive Diffusion Model Noise Spaces. ISMIR Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2025	J	`jnl`	Estimating Musical Surprisal from Audio in Autoregressive Diffusion Model Noise Spaces. CoRR Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2025	Misc	`conf`	Estimating Musical Surprisal in Audio. ICASSP Mathias Rose Bjare, Giorgia Cantisani, Stefan Lattner, Gerhard Widmer
2025	J	`jnl`	Estimating Musical Surprisal in Audio. CoRR Mathias Rose Bjare, Giorgia Cantisani, Stefan Lattner, Gerhard Widmer
2025	Misc	`conf`	Hybrid Losses for Hierarchical Embedding Learning. ICASSP Haokun Tian, Stefan Lattner, Brian McFee, Charalampos Saitis
2025	J	`jnl`	Hybrid Losses for Hierarchical Embedding Learning. CoRR Haokun Tian, Stefan Lattner, Brian McFee, Charalampos Saitis
2025	Misc	`conf`	Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding. ICASSP Marco Pasini, Stefan Lattner, György Fazekas
2025	J	`jnl`	Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding. CoRR Marco Pasini, Stefan Lattner, George Fazekas
2025	J	`jnl`	PESTO: Real-Time Pitch Estimation with Self-supervised Transposition-equivariant Objective. CoRR Alain Riou, Bernardo Torres, Ben Hayes, Stefan Lattner, Gaëtan Hadjeres, Gaël Richard, Geoffroy Peeters
2025	J	`jnl`	PESTO: Real‑Time Pitch Estimation with Self‑Supervised Transposition‑Equivariant Objective. Trans. Int. Soc. Music. Inf. Retr. Alain Riou, Bernardo Torres, Ben Hayes, Stefan Lattner, Gaëtan Hadjeres, Gaël Richard, Geoffroy Peeters
2025	J	`jnl`	Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders. CoRR Mathias Rose Bjare, Giorgia Cantisani, Marco Pasini, Stefan Lattner, Gerhard Widmer
2025	C	`conf`	Temporal Considerations in DJ Mix Information Retrieval and Generation (Short Paper). TIME Alexander J. Williams, Gregor Meehan, Stefan Lattner, Johan Pauwels, Mathieu Barthet
2025	Misc	`conf`	Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures. ICASSP Alain Riou, Antonin Gagneré, Gaëtan Hadjeres, Stefan Lattner, Geoffroy Peeters
2024	Misc	`conf`	Bass Accompaniment Generation Via Latent Diffusion. ICASSP Marco Pasini, Maarten Grachten, Stefan Lattner
2024	J	`jnl`	Bass Accompaniment Generation via Latent Diffusion. CoRR Marco Pasini, Maarten Grachten, Stefan Lattner
2024	J	`jnl`	Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation. CoRR Marco Pasini, Javier Nistal, Stefan Lattner, George Fazekas
2024	—	`conf`	Controlling Surprisal in Music Generation via Information Content Curve Matching. ISMIR Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2024	J	`jnl`	Controlling Surprisal in Music Generation via Information Content Curve Matching. CoRR Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2024	J	`jnl`	Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models. CoRR Javier Nistal, Marco Pasini, Cyran Aouameur, Maarten Grachten, Stefan Lattner
2024	—	`conf`	Diff-a-Riff: Musical Accompaniment Co-Creation via Latent Diffusion Models. ISMIR Javier Nistal, Marco Pasini, Cyran Aouameur, Maarten Grachten, Stefan Lattner
2024	J	`jnl`	Improving Musical Accompaniment Co-creation via Diffusion Transformers. CoRR Javier Nistal, Marco Pasini, Stefan Lattner
2024	—	`conf`	Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. ICASSP Workshops Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
2024	J	`jnl`	Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. CoRR Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
2024	—	`conf`	Music2Latent: Consistency Autoencoders for Latent Audio Compression. ISMIR Marco Pasini, Stefan Lattner, George Fazekas
2024	J	`jnl`	Music2Latent: Consistency Autoencoders for Latent Audio Compression. CoRR Marco Pasini, Stefan Lattner, George Fazekas
2024	J	`jnl`	Singer Identity Representation Learning using Self-Supervised Techniques. CoRR Bernardo Torres, Stefan Lattner, Gaël Richard
2024	—	`conf`	Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation. ISMIR Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Michael Anslow, Geoffroy Peeters
2024	J	`jnl`	Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation. CoRR Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Michael Anslow, Geoffroy Peeters
2024	J	`jnl`	The evolution of inharmonicity and noisiness in contemporary popular music. CoRR Emmanuel Deruty, David Meredith, Stefan Lattner
2024	J	`jnl`	Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures. CoRR Alain Riou, Antonin Gagneré, Gaëtan Hadjeres, Stefan Lattner, Geoffroy Peeters
2023	—	`conf`	Exploring Sampling Techniques for Generating Melodies With a Transformer Language Model. ISMIR Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2023	J	`jnl`	Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model. CoRR Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2023	—	`conf`	PESTO: Pitch Estimation With Self-Supervised Transposition-Equivariant Objective. ISMIR Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
2023	J	`jnl`	PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective. CoRR Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
2023	J	`jnl`	Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates. CoRR Marco Pasini, Stefan Lattner, George Fazekas
2023	—	`conf`	Singer Identity Representation Learning Using Self-Supervised Techniques. ISMIR Bernardo Torres, Stefan Lattner, Gaël Richard
2022	J	`jnl`	Differentiable Short-Term Models for Efficient Online Learning and Prediction in Monophonic Music. Trans. Int. Soc. Music. Inf. Retr. Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
2022	J	`jnl`	DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With Autoencoding Generative Adversarial Networks. CoRR Javier Nistal, Cyran Aouameur, Ithan Velarde, Stefan Lattner
2022	J	`jnl`	On the Development and Practice of AI Technology for Contemporary Popular Music Production. Trans. Int. Soc. Music. Inf. Retr. Emmanuel Deruty, Maarten Grachten, Stefan Lattner, Javier Nistal, Cyran Aouameur
2022	J	`jnl`	On the Typicality of Musical Sequences. CoRR Mathias Rose Bjare, Stefan Lattner
2022	—	`conf`	SampleMatch: Drum Sample Retrieval by Musical Context. ISMIR Stefan Lattner
2022	J	`jnl`	SampleMatch: Drum Sample Retrieval by Musical Context. CoRR Stefan Lattner
2022	J	`jnl`	Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks. CoRR Stefan Lattner, Javier Nistal
2021	—	`conf`	DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis With GANs. ISMIR Javier Nistal, Stefan Lattner, Gaël Richard
2021	J	`jnl`	DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs. CoRR Javier Nistal, Stefan Lattner, Gaël Richard
2021	—	`conf`	VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding. WASPAA Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard
2021	J	`jnl`	VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding. CoRR Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard
2020	—	`conf`	Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. EUSIPCO Javier Nistal, Stefan Lattner, Gaël Richard
2020	J	`jnl`	Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. CoRR Javier Nistal, Stefan Lattner, Gaël Richard
2020	—	`conf`	DRUMGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks. ISMIR Javier Nistal, Stefan Lattner, Gaël Richard
2020	J	`jnl`	DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks. CoRR Javier Nistal, Stefan Lattner, Gaël Richard
2020	J	`jnl`	Modeling Musical Structure with Artificial Neural Networks. CoRR Stefan Lattner
2019	—	`conf`	High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. WASPAA Stefan Lattner, Maarten Grachten
2019	J	`jnl`	High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction. CoRR Stefan Lattner, Maarten Grachten
2019	—	`conf`	Learning Complex Basis Functions for Invariant Representations of Audio. ISMIR Stefan Lattner, Monika Dörfler, Andreas Arzt
2019	J	`jnl`	Learning Complex Basis Functions for Invariant Representations of Audio. CoRR Stefan Lattner, Monika Dörfler, Andreas Arzt
2018	J	`jnl`	A Predictive Model for Music Based on Learned Interval Representations. CoRR Stefan Lattner, Maarten Grachten, Gerhard Widmer
2018	—	`conf`	A Predictive Model for Music based on Learned Interval Representations. ISMIR Stefan Lattner, Maarten Grachten, Gerhard Widmer
2018	—	`conf`	Audio-to-Score Alignment using Transposition-invariant Features. ISMIR Andreas Arzt, Stefan Lattner
2018	J	`jnl`	Audio-to-Score Alignment using Transposition-invariant Features. CoRR Andreas Arzt, Stefan Lattner
2018	—	`conf`	Learning Interval Representations from Polyphonic Music Sequences. ISMIR Stefan Lattner, Maarten Grachten, Gerhard Widmer
2018	J	`jnl`	Learning Transposition-Invariant Interval Features from Symbolic Music and Audio. CoRR Stefan Lattner, Maarten Grachten, Gerhard Widmer
2017	J	`jnl`	Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation. CoRR Stefan Lattner, Maarten Grachten
2017	J	`jnl`	Learning Musical Relations using Gated Autoencoders. CoRR Stefan Lattner, Maarten Grachten, Gerhard Widmer
2016	J	`jnl`	Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints. CoRR Stefan Lattner, Maarten Grachten, Gerhard Widmer
2015	B	`conf`	A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. CogSci Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner
2015	—	`conf`	Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. MCM Stefan Lattner, Maarten Grachten, Kat Agres, Carlos Eduardo Cancino-Chacón
2015	A*	`conf`	Pseudo-Supervised Training Improves Unsupervised Melody Segmentation. IJCAI Stefan Lattner, Carlos Eduardo Cancino-Chacón, Maarten Grachten
2014	—	`conf`	Developing Tonal Perception through Unsupervised Learning. ISMIR Carlos Eduardo Cancino-Chacón, Stefan Lattner, Maarten Grachten