Robert Bamler

Charley M. Wu

Álvaro Tejero-Cantero

CoRR, 2024

On the Challenges and Opportunities in Generative AI.

[BibT_eX]

[DOI]

CoRR, 2024

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry.

[BibT_eX]

[DOI]

Weiyang Liu

CoRR, 2024

2023

The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch.

[BibT_eX]

[DOI]

Johannes Zenn

CoRR, 2023

Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models.

[BibT_eX]

[DOI]

Johannes Zenn

CoRR, 2023

Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers.

[BibT_eX]

[DOI]

Johannes Zenn

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Trading Information between Latents in Hierarchical Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

2020

Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding.

[BibT_eX]

[DOI]

Yibo Yang

CoRR, 2020

Improving Inference for Neural Image Compression.

[BibT_eX]

[DOI]

Yibo Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

User-Dependent Neural Sequence Models for Continuous-Time Event Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Bayesian Quantization.

[BibT_eX]

[DOI]

Yibo Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

Extreme Classification via Adversarial Softmax Approximation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Tightening Bounds for Variational Inference by Revisiting Perturbation Theory.

[BibT_eX]

[DOI]

CoRR, 2019

A Quantum Field Theory of Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Augmenting and Tuning Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Farnood Salehi

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Improving Optimization in Models With Continuous Symmetry Breaking.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Bayesian Paragraph Vectors.

[BibT_eX]

[DOI]

CoRR, 2017

Structured Black Box Variational Inference for Latent Time Series Models.

[BibT_eX]

[DOI]

CoRR, 2017

Dynamic Word Embeddings via Skip-Gram Filtering.

[BibT_eX]

[DOI]

CoRR, 2017

Perturbative Black Box Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dynamic Word Embeddings.

[BibT_eX]

[DOI]