Research map / Probabilistic and scientific modeling / Variational and generative sampling
Hölder++: Improving Quality-Coherence Trade-off in Multimodal VAEs
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises (ICLR 2023 · similarity 0.95)
- On the Limitations of Multimodal VAEs (ICLR 2022 · similarity 0.91)
- Unity by Diversity: Improved Representation Learning for Multimodal VAEs (NeurIPS 2024 · similarity 0.90)
- Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization (ICML 2022 · similarity 0.90)
- Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders (ICML 2025 · similarity 0.89)
- Multimodal Generative Models for Scalable Weakly-Supervised Learning (NeurIPS 2018 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.