Reranking-based Recommender System with Deep Learning. - Ahmed Saleh 003; Florian Mai; Chifumi Nishioka; Ansgar Scherp (GI-Jahrestagung, 2017)

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. - Lukas Galke; Florian Mai; Alan Schelten; Dennis Brunsch; Ansgar Scherp (K-CAP, 2017)

Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. - Lukas Galke; Florian Mai; Alan Schelten; Dennis Brunsch; Ansgar Scherp (CoRR, 2017)

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. - Florian Mai; Lukas Galke; Ansgar Scherp (JCDL, 2018)

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. - Iacopo Vagliano; Lukas Galke; Florian Mai; Ansgar Scherp (RecSys Challenge, 2018)

Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. - Lukas Galke; Florian Mai; Iacopo Vagliano; Ansgar Scherp (UMAP, 2018)

What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? - Lukas Galke; Florian Mai; Ansgar Scherp (GI-Jahrestagung, 2019)

CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. - Florian Mai; Lukas Galke; Ansgar Scherp (ICLR (Poster), 2019)

On the Tunability of Optimizers in Deep Learning. - Prabhu Teja Sivaprasad; Florian Mai; Thijs Vogels; Martin Jaggi; François Fleuret (CoRR, 2019)

Plug and Play Autoencoders for Conditional Text Generation. - Florian Mai; Nikolaos Pappas 002; Ivan Montero; Noah A. Smith; James Henderson 001 (EMNLP (1), 2020)

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning. - Prabhu Teja Sivaprasad; Florian Mai; Thijs Vogels; Martin Jaggi; François Fleuret (ICML, 2020)

Embeddings from "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix-Space Model". - Florian Mai; Lukas Galke; Ansgar Scherp (Zenodo, 2020)

Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation. - Florian Mai; James Henderson 001 (AACL/IJCNLP (1), 2022)

HyperMixer: An MLP-based Green AI Alternative to Transformers. - Florian Mai; Arnaud Pannatier; Fabio Fehr; Haolin Chen; François Marelli; François Fleuret; James Henderson 001 (CoRR, 2022)

HyperMixer: An MLP-based Low Cost Alternative to Transformers. - Florian Mai; Arnaud Pannatier; Fabio Fehr; Haolin Chen; François Marelli; François Fleuret; James Henderson 001 (ACL (1), 2023)

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition. - Florian Mai; Juan Zuluaga-Gomez; Titouan Parcollet; Petr Motlícek (INTERSPEECH, 2023)

BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization. - Darko Drakulic; Sofia Michel; Florian Mai; Arnaud Sors; Jean-Marc Andreoli (NeurIPS, 2023)

BQ-NCO: Bisimulation Quotienting for Generalizable Neural Combinatorial Optimization. - Darko Drakulic; Sofia Michel; Florian Mai; Arnaud Sors; Jean-Marc Andreoli (CoRR, 2023)

Triple-Encoders: Representations That Fire Together, Wire Together. - Justus-Jonas Erker; Florian Mai; Nils Reimers 001; Gerasimos Spanakis; Iryna Gurevych (ACL (1), 2024)

Learning to Plan for Language Modeling from Unlabeled Data. - Nathan Cornille; Marie-Francine Moens; Florian Mai (CoRR, 2024)

Open-Source Conversational AI with SpeechBrain 1.0. - Mirco Ravanelli; Titouan Parcollet; Adel Moumen; Sylvain de Langen; Cem Subakan; Peter Plantinga; Yingzhi Wang 002; Pooneh Mousavi; Luca Della Libera; Artem Ploujnikov; Francesco Paissan; Davide Borra; et al. (CoRR, 2024)

Learning to Plan Long-Term for Language Modeling. - Florian Mai; Nathan Cornille; Marie-Francine Moens (CoRR, 2024)

End-to-end Planner Training for Language Modeling. - Nathan Cornille; Florian Mai; Jingyuan Sun; Marie-Francine Moens (CoRR, 2024)

Superalignment with Dynamic Human Values. - Florian Mai; David Kaczér; Nicholas Kluge Corrêa; Lucie Flek (CoRR, 2025)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. - Mehdi Ali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; et al. (CoRR, 2025)

In-Training Defenses against Emergent Misalignment in Language Models. - David Kaczér; Magnus Jørgenvåg; Clemens Vetter; Lucie Flek; Florian Mai (CoRR, 2025)

Survey-to-Behavior: Downstream Alignment of Human Values in LLMs via Survey Questions. - Shangrui Nie; Florian Mai; David Kaczér; Charles Welch; Zhixue Zhao; Lucie Flek (CoRR, 2025)