papers
Publications (10)
cs.NE2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
Shumeet Baluja, Ian Fischer
cs.LG2018
Uncertainty in the Variational Information Bottleneck
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon
cs.LG2018
TherML: Thermodynamics of Machine Learning
Alexander A. Alemi, Ian Fischer
cs.LG2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Bryan Seybold, Emily Fertig, Alex Alemi +1
stat.ML2017
Adversarial examples for generative models
Jernej Kos, Ian Fischer, Dawn Song
stat.ML2019
GILBO: One Metric to Measure Them All
Alexander A. Alemi, Ian Fischer
cs.LG2019
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
cs.LG2018
Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang +1
cs.LG2018
Fixing a Broken ELBO
Alexander A. Alemi, Ben Poole, Ian Fischer +3
cs.CV2017
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun +8