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Stephan Mandt
Stephan Mandt
18
papers
609
total citations
papers (18)
Lossy Image Compression with Conditional Diffusion Models
NEURIPS 2023
arXiv
207
citations
Improving Inference for Neural Image Compression
NEURIPS 2020
arXiv
140
citations
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
arXiv
60
citations
Computationally-Efficient Neural Image Compression with Shallow Decoders
ICCV 2023
arXiv
41
citations
One Diffusion to Generate Them All
CVPR 2025
arXiv
34
citations
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
NEURIPS 2021
arXiv
30
citations
User-Dependent Neural Sequence Models for Continuous-Time Event Data
NEURIPS 2020
arXiv
23
citations
Heavy-Tailed Diffusion Models
ICLR 2025
arXiv
23
citations
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
NEURIPS 2023
arXiv
16
citations
A Complete Recipe for Diffusion Generative Models
ICCV 2023
arXiv
12
citations
Variational Control for Guidance in Diffusion Models
ICML 2025
arXiv
7
citations
Progressive Compression with Universally Quantized Diffusion Models
ICLR 2025
arXiv
5
citations
Predictive Querying for Autoregressive Neural Sequence Models
NEURIPS 2022
arXiv
5
citations
Neural NeRF Compression
ICML 2024
arXiv
4
citations
Transformers for Mixed-type Event Sequences
NEURIPS 2025
2
citations
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
ICLR 2025
arXiv
0
citations
Zero-Shot Anomaly Detection via Batch Normalization
NEURIPS 2023
arXiv
0
citations
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
NEURIPS 2023
0
citations
