Classifier adaptation at prediction time. - Amelie Royer; Christoph H. Lampert (CVPR, 2015)

Audio word similarity for clustering with zero resources based on iterative HMM classification. - Amelie Royer; Guillaume Gravier; Vincent Claveau (ICASSP, 2016)

Probabilistic Image Colorization. - Amelie Royer; Alexander Kolesnikov 003; Christoph H. Lampert (BMVC, 2017)

XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings. - Amelie Royer; Konstantinos Bousmalis; Stephan Gouws; Fred Bertsch; Inbar Mosseri; Forrester Cole; Kevin Murphy 002 (CoRR, 2017)

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings. - Amelie Royer; Konstantinos Bousmalis; Stephan Gouws; Fred Bertsch; Inbar Mosseri; Forrester Cole; Kevin Murphy 002 (Domain Adaptation for Visual Understanding, 2020)

Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications. - Krishnendu Chatterjee; Martin Chmelík; Deep Karkhanis; Petr Novotný 001; Amélie Royer (ICAPS, 2020)

Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. - Amélie Royer; Christoph H. Lampert (WACV, 2020)

A Flexible Selection Scheme for Minimum-Effort Transfer Learning. - Amélie Royer; Christoph H. Lampert (WACV, 2020)

Revisiting single-gated Mixtures of Experts. - Amelie Royer; Ilia Karmanov; Andrii Skliar; Babak Ehteshami Bejnordi; Tijmen Blankevoort (BMVC, 2022)

Knowledge distillation: A good teacher is patient and consistent. - Lucas Beyer; Xiaohua Zhai; Amélie Royer; Larisa Markeeva; Rohan Anil; Alexander Kolesnikov 003 (CVPR, 2022)

MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers. - Jakob Drachmann Havtorn; Amélie Royer; Tijmen Blankevoort; Babak Ehteshami Bejnordi (ICCV (Workshops), 2023)

Scalarization for Multi-Task and Multi-Domain Learning at Scale. - Amelie Royer; Tijmen Blankevoort; Babak Ehteshami Bejnordi (NeurIPS, 2023)

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. - Babak Ehteshami Bejnordi; Gaurav Kumar; Amelie Royer; Christos Louizos; Tijmen Blankevoort; Mohsen Ghafoorian (BMVC, 2024)

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. - Benjamin Bergner; Andrii Skliar; Amelie Royer; Tijmen Blankevoort; Yuki M. Asano; Babak Ehteshami Bejnordi (CoRR, 2024)

Moshi: a speech-text foundation model for real-time dialogue. - Alexandre Défossez; Laurent Mazaré; Manu Orsini; Amélie Royer; Patrick Pérez; Hervé Jégou; Edouard Grave; Neil Zeghidour (CoRR, 2024)

Vision-Speech Models: Teaching Speech Models to Converse about Images. - Amélie Royer; Moritz Böhle; Gabriel de Marmiesse; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez; Patrick Pérez (CoRR, 2025)