Imant Daunhawer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Multimodal Information

Jensen Shannon Divergence

Top Venues

Publications

Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer
Benchmarking the Fairness of Image Upsampling Methods. CoRR (2024)
Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer
Benchmarking the Fairness of Image Upsampling Methods. FAccT (2024)
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Identifiability Results for Multimodal Contrastive Learning. ICLR (2023)
Emanuele Palumbo, Imant Daunhawer, Julia E. Vogt
MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises. ICLR (2023)
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Identifiability Results for Multimodal Contrastive Learning. CoRR (2023)
Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal
How robust is unsupervised representation learning to distribution shift? ICLR (2023)
Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt
On the Limitations of Multimodal VAEs. ICLR (2022)
Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal
How robust are pre-trained models to distribution shift? CoRR (2022)
Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt
On the Limitations of Multimodal VAEs. CoRR (2021)
Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt
Generalized Multimodal ELBO. ICLR (2021)
Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering
Decoupling State Representation Methods from Reinforcement Learning in Car Racing. ICAART (2) (2021)
Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt
Generalized Multimodal ELBO. CoRR (2021)
Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence. CoRR (2020)
Varaha Karthik Pattisapu, Imant Daunhawer, Thomas J. Weikert, Alexander Sauter, Bram Stieltjes, Julia E. Vogt
PET-Guided Attention Network for Segmentation of Lung Tumors from PET/CT Images. GCPR (2020)
Imant Daunhawer, Thomas M. Sutter, Ricards Marcinkevics, Julia E. Vogt
Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models. GCPR (2020)
Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence. NeurIPS (2020)
Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence. ViGIL@NeurIPS (2019)