3 citations · 4 across the 6 of their papers we have counts for
7 papers
Adapting Neural Audio Codecs to EEG
Ard Kastrati, Luca Lanzendörfer, Riccardo Rigoni +2
EEG and audio are inherently distinct modalities, differing in sampling rate, channel structure, and scale. Yet, we show that pretrained neural audio codecs can serve as effective…
Evaluating Objective Speech Quality Metrics for Neural Audio Codecs
Luca A. Lanzendörfer, Florian Grötschla
Neural audio codecs have gained recent popularity for their use in generative modeling as they offer high-fidelity audio reconstruction at low bitrates. While human listening studi…
Virtual Fashion Photo-Shoots: Building a Large-Scale Garment-Lookbook Dataset
Yannick Hauri, Luca A. Lanzendörfer, Till Aczel
Fashion image generation has so far focused on narrow tasks such as virtual try-on, where garments appear in clean studio environments. In contrast, editorial fashion presents garm…
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer +2
Reinforcement learning (RL) has gained popularity in the realm of recommender systems due to its ability to optimize long-term rewards and guide users in discovering relevant conte…
Siamese SIREN: Audio Compression with Implicit Neural Representations
Luca A. Lanzendörfer, Roger Wattenhofer
Implicit Neural Representations (INRs) have emerged as a promising method for representing diverse data modalities, including 3D shapes, images, and audio. While recent research ha…
DISCO-10M: A Large-Scale Music Dataset
Luca A. Lanzendörfer, Florian Grötschla, Emil Funke +1
Music datasets play a crucial role in advancing research in machine learning for music. However, existing music datasets suffer from limited size, accessibility, and lack of audio…
Examining the Emergence of Deductive Reasoning in Generative Language Models
Peter Belcak, Luca A. Lanzendörfer, Roger Wattenhofer
We conduct a preliminary inquiry into the ability of generative transformer models to deductively reason from premises provided. We observe notable differences in the performance o…