1 citations · 1 across the 3 of their papers we have counts for
7 papers
A Tutorial on Generative Models for Music Audio
Mateusz Modrzejewski, Joanna Kurkowska, Dorien Herremans
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and systems that play alongside a musician in real time. This monograph expla…
MI-MIDI 2: From Observation to Control with Sparse Autoencoders in Text-to-MIDI Generation
Jakub Poćwiardowski, Mateusz Modrzejewski
Sparse autoencoders (SAEs) can expose features of a generative model without predefined labels, but in language models the evidence used to interpret these features has proven an u…
Prompt Sensitivity in Tool-Augmented Model Comparisons
Mateusz Modrzejewski, Tomasz Radzikowski
Language models are compared on question-answering benchmarks that pose each question in one wording, and a reworded question can change which of two models scores higher. We ask w…
What Pairwise Evaluation Misses: Reward Scores across Prompts
Mateusz Modrzejewski, Tomasz Radzikowski
Reward models score responses for preference optimization, filtering and ranking, and pooling scores across prompts needs them to be comparable. Yet pairwise evaluation compares tw…
DINO-A: Adapting Self-Distillation Vision Transformers to General Audio Representation Learning
Tomasz Radzikowski, Mateusz Modrzejewski, Przemysław Rokita
We present DINO-A, an adaptation of self-distillation from vision to general audio representation learning. While DINO has become a canonical method in self-supervised vision and p…
Prevailing Research Areas for Music AI in the Era of Foundation Models
Megan Wei, Mateusz Modrzejewski, Aswin Sivaraman +1
Parallel to rapid advancements in foundation model research, the past few years have witnessed a surge in music AI applications. As AI-generated and AI-augmented music become incre…
The Biased Journey of MSD_AUDIO.ZIP
Haven Kim, Keunwoo Choi, Mateusz Modrzejewski +1
The equitable distribution of academic data is crucial for ensuring equal research opportunities, and ultimately further progress. Yet, due to the complexity of using the API for a…