Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models. - Imant Daunhawer; Thomas M. Sutter; Ricards Marcinkevics; Julia E. Vogt (GCPR, 2020)

PET-Guided Attention Network for Segmentation of Lung Tumors from PET/CT Images. - Varaha Karthik Pattisapu; Imant Daunhawer; Thomas J. Weikert; Alexander Sauter; Bram Stieltjes; Julia E. Vogt (GCPR, 2020)

Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence. - Thomas M. Sutter; Imant Daunhawer; Julia E. Vogt (NeurIPS, 2020)

Decoupling State Representation Methods from Reinforcement Learning in Car Racing. - Juan M. Montoya; Imant Daunhawer; Julia E. Vogt; Marco A. Wiering (ICAART (2), 2021)

Generalized Multimodal ELBO. - Thomas M. Sutter; Imant Daunhawer; Julia E. Vogt (ICLR, 2021)

On the Limitations of Multimodal VAEs. - Imant Daunhawer; Thomas M. Sutter; Kieran Chin-Cheong; Emanuele Palumbo; Julia E. Vogt (ICLR, 2022)

How robust are pre-trained models to distribution shift? - Yuge Shi; Imant Daunhawer; Julia E. Vogt; Philip H. S. Torr; Amartya Sanyal (CoRR, 2022)

Identifiability Results for Multimodal Contrastive Learning. - Imant Daunhawer; Alice Bizeul; Emanuele Palumbo; Alexander Marx 001; Julia E. Vogt (ICLR, 2023)

MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises. - Emanuele Palumbo; Imant Daunhawer; Julia E. Vogt (ICLR, 2023)

How robust is unsupervised representation learning to distribution shift? - Yuge Shi; Imant Daunhawer; Julia E. Vogt; Philip H. S. Torr; Amartya Sanyal (ICLR, 2023)

Multimodal Representation Learning under Weak Supervision. - Imant Daunhawer (2023)

Benchmarking the Fairness of Image Upsampling Methods. - Mike Laszkiewicz; Imant Daunhawer; Julia E. Vogt; Asja Fischer; Johannes Lederer (FAccT, 2024)

From Logits to Hierarchies: Hierarchical Clustering made Simple. - Emanuele Palumbo; Moritz Vandenhirtz; Alain Ryser; Imant Daunhawer; Julia E. Vogt (CoRR, 2024)

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data. - Olga Ovcharenko; Florian Barkmann; Philip Toma; Imant Daunhawer; Julia E. Vogt; Sebastian Schelter; Valentina Boeva (CoRR, 2025)