← Authors

Sebastian Nowozin

41 papers · 2011–2023 · 7 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (15) 🌟 Keyword Trendsetter Combo (4) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (167) πŸ“ˆ Trend Setter ❓ The Questioner (3) πŸ’Ž Century Club (41)

Conferences

NIPS (14) ICML (8) CVPR (7) ICLR (5) ICCV (3) AISTATS (2) ECCV (2)

Top co-authors

Richard Turner (5) Kevin Roth (5) John Bronskill (5) Andreas Geiger (4) Lars Mescheder (4) Jamie Shotton (4) Carsten Rother (4) Jonathan Gordon (3) Jasper Snoek (3) JosΓ© Miguel HernΓ‘ndez-Lobato (3)

Keywords

generative adversarial network (5) variational inference (5) variational autoencoder (4) neural network (4) probabilistic model (3) markov chain monte carlo (3) uncertainty quantification (3) bayesian neural network (3) structured prediction (3) gaussian process (2) image segmentation (2) model compression (2) image classification (2) posterior distribution (2) active learning (2) convergence analysis (2) computer vision (2) reinforcement learning (2) bayesian inference (2) ensemble learning (2)

Papers

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics NIPS 2023
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification ICLR 2023
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NIPS 2022
Precise characterization of the prior predictive distribution of deep ReLU networks NIPS 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NIPS 2021
Memory Efficient Meta-Learning with Large Images NIPS 2021
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning ICML 2020
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Meta-Learning Probabilistic Inference for Prediction ICLR 2019
Deterministic Variational Inference for Robust Bayesian Neural Networks ICLR 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space CVPR 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NIPS 2019
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ICLR 2018
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification ECCV 2018
Which Training Methods for GANs do actually Converge? ICML 2018
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data ECCV 2018
DSAC - Differentiable RANSAC for Camera Localization CVPR 2017
The Numerics of GANs NIPS 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Dynamic Time-Of-Flight CVPR 2017
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NIPS 2016
DISCO Nets : DISsimilarity COefficients Networks NIPS 2016
Entropy-Based Latent Structured Output Prediction ICCV 2015
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations ICCV 2015
Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case CVPR 2014
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Discriminative Non-blind Deblurring CVPR 2013
Learning Convex QP Relaxations for Structured Prediction ICML 2013
A Non-parametric Bayesian Network Prior of Human Pose ICCV 2013
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm AISTATS 2011
Higher-Order Correlation Clustering for Image Segmentation NIPS 2011