Alexander A. Alemi

Noah Constant

CoRR, 2024

Scaling Exponents Across Parameterizations and Optimizers.

[BibT_eX]

[DOI]

Leslie Pack Kaelbling

Jaehoon Lee

Jeffrey Pennington

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Small-scale proxies for large-scale Transformer training instabilities.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?

[BibT_eX]

[DOI]

CoRR, 2023

Speed Limits for Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Variational Prediction.

[BibT_eX]

[DOI]

Warren Richard Morningstar

Ben Poole

CoRR, 2023

Weighted Ensemble Self-Supervised Learning.

[BibT_eX]

[DOI]

Yangjun Ruan

Saurabh Singh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Bayesian Imitation Learning for End-to-End Mobile Manipulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime.

[BibT_eX]

[DOI]

Alex Alemi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Closer Look at the Adversarial Robustness of Information Bottleneck Models.

[BibT_eX]

[DOI]

CoRR, 2021

Does Knowledge Distillation Really Work?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Density of States Estimation for Out of Distribution Detection.

[BibT_eX]

[DOI]

Cusuh Ham

Andrew G. Gallagher

Balaji Lakshminarayanan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

CEB Improves Model Robustness.

[BibT_eX]

[DOI]

Entropy, 2020

VIB is Half Bayes.

[BibT_eX]

[DOI]

Ben Poole

CoRR, 2020

PAC<sup>m</sup>-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Tangents: Fast and Easy Infinite Neural Networks in Python.

[BibT_eX]

[DOI]

Samuel S. Schoenholz

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

2019

Thermodynamic Computing.

[BibT_eX]

[DOI]

CoRR, 2019

On Predictive Information Sub-optimality of RNNs.

[BibT_eX]

[DOI]

CoRR, 2019

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces.

[BibT_eX]

[DOI]

CoRR, 2019

On the Use of ArXiv as a Dataset.

[BibT_eX]

[DOI]

CoRR, 2019

On Variational Bounds of Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Information in Infinite Ensembles of Infinitely-Wide Neural Networks.

[BibT_eX]

[DOI]

Ravid Shwartz-Ziv

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

Variational Predictive Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

β-VAEs can retain label information even at high compression.

[BibT_eX]

[DOI]

Emily Fertig

Aryan Arbabi

CoRR, 2018

TherML: Thermodynamics of Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Uncertainty in the Variational Information Bottleneck.

[BibT_eX]

[DOI]

CoRR, 2018

GILBO: One Metric to Measure Them All.

[BibT_eX]

[DOI]

Sudheendra Vijayanarasimhan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Watch Your Step: Learning Node Embeddings via Graph Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fixing a Broken ELBO.

[BibT_eX]

[DOI]

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

2017

TensorFlow Distributions.

[BibT_eX]

[DOI]

CoRR, 2017

An Information-Theoretic Analysis of Deep Latent-Variable Models.

[BibT_eX]

[DOI]

CoRR, 2017

Watch Your Step: Learning Graph Embeddings Through Attention.

[BibT_eX]

[DOI]

CoRR, 2017

Jeffrey's prior sampling of deep sigmoidal networks.

[BibT_eX]

[DOI]

CoRR, 2017

Motion Prediction Under Multimodality with Conditional Stochastic Networks.

[BibT_eX]

[DOI]

Katerina Fragkiadaki

Jonathan Huang

Alex Alemi

Susanna Ricco

Rahul Sukthankar

CoRR, 2017

Deep Variational Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improved generator objectives for GANs.

[BibT_eX]

[DOI]

Ben Poole

Anelia Angelova

CoRR, 2016

DeepMath - Deep Sequence Models for Premise Selection.

[BibT_eX]

[DOI]

CoRR, 2016

DeepMath - Deep Sequence Models for Premise Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Clustering via Content-Augmented Stochastic Blockmodels.

[BibT_eX]

[DOI]

CoRR, 2015

Text Segmentation based on Semantic Word Embeddings.

[BibT_eX]

[DOI]