SM
Stephan Mandt
cs.LGstat.MLcs.AIcs.CVeess.IVphysics.ao-phcond-mat.quant-gascs.CLcs.ITmath.IT
On Valency
published · living versionsW_thuve42j·v1 · currentpublished
Parallel Language Models via Variational Decoding
with Felix Draxler, Robin C. Geyer, Daniel Geyfman, Farrin Marouf Sofian +11
1 version
Preprints & journals
112 papers in the corpus · 2009–2026Parallel Language Models via Variational Decoding2610.26693v1 · Felix Draxler, Robin C. Geyer, Daniel Geyfman et al.2026 · 0 citationsarXivon Valency
Variational Test-time Optimization for Diffusion Synchronization2606.15614v2 · Hyunsoo Lee, Farrin Marouf Sofian, Kushagra Pandey et al.2026 · 0 citationsarXiv
Hierarchical Variational Policies for Reward-Guided Diffusion2605.21661v1 · Kushagra Pandey, Farrin Marouf Sofian, Jan Niklas Groeneveld et al.2026 · 0 citationsarXiv
Skipping the Zeros in Diffusion Models for Sparse Data Generation2605.01817v2 · Phil Sidney Ostheimer, Mayank Nagda, Andriy Balinskyy et al.2026 · 0 citationsarXiv
A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models2604.21903v1 · Max Defez, Filippo Quarenghi, Mathieu Vrac et al.2026 · 0 citationsarXiv
Thermodynamically consistent machine learning model for excess Gibbs energy.41980937 · Hoffmann, Marco, Specht, Thomas, Göttl, Quirin et al.2026 · 4 citationsNature communications. 2026;17(1)
A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models2604.09921v2 · Theo X. Olausson, Metod Jazbec, Xi Wang et al.2026 · 0 citationsarXiv
Region-Adaptive Generative Compression with Spatially Varying Diffusion Models2604.01122v1 · Lucas Relic, Roberto Azevedo, Yang Zhang et al.2026 · 0 citationsarXiv
Calibrated Test-Time Guidance for Bayesian Inference2602.22428v2 · Daniel Geyfman, Felix Draxler, Jan Groeneveld et al.2026 · 0 citationsarXiv
Advances in Diffusion-Based Generative Compression2601.18932v2 · Yibo Yang, Stephan Mandt2026 · 0 citationsarXiv
Parallel Token Prediction for Language Models2512.21323v2 · Felix Draxler, Justus Will, Farrin Marouf Sofian et al.2025 · 0 citationsarXiv
Technical Report: Towards Unified Diffusion Models for Multi-Model Climate Emulation at Scale2511.22970v1 · Francesco Immorlano, Elijah Tavares, Felix Draxler et al.2025 · 0 citationsarXiv
On the Effect of Regularization on Nonparametric Mean-Variance Regression2511.22004v1 · Eliot Wong-Toi, Alex Boyd, Vincent Fortuin et al.2025 · 0 citationsarXiv
GeoDiff: Geometry-Guided Diffusion for Metric Depth Estimation2510.18291v1 · Tuan Pham, Thanh-Tung Le, Xiaohui Xie et al.2025 · 1 citationarXiv
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics2510.17562v1 · Dennis Wagner, Arjun Nair, Billy Joe Franks et al.2025 · 0 citationsarXiv
DiffStyleTS: Diffusion Model for Style Transfer in Time Series2510.11335v1 · Mayank Nagda, Phil Ostheimer, Justus Arweiler et al.2025 · 0 citationsarXiv
Control-Augmented Autoregressive Diffusion for Data Assimilation2510.06637v3 · Prakhar Srivastava, Farrin Marouf Sofian, Francesco Immorlano et al.2025 · 0 citationsarXiv
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data2506.08306v1 · Tuan Truong, Rithwik Sudharsan, Yibo Yang et al.2025 · 0 citationsarXiv
Transferring climate change physical knowledge.40198708 · Immorlano, Francesco, Eyring, Veronika, le Monnier de Gouville, Thomas et al.2025 · 15 citationsProceedings of the National Academy of Sciences of the United States of America. 2025;122(15):e2413503122
Variational Control for Guidance in Diffusion Models2502.03686v2 · Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler et al.2025 · 0 citationsarXiv
Self-Supervised Anomaly Detection With Neural Transformations.40030646 · Qiu, Chen, Kloft, Marius, Mandt, Stephan et al.2025 · 11 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;PP
Progressive Compression with Universally Quantized Diffusion Models2412.10935v2 · Yibo Yang, Justus C. Will, Stephan Mandt2024 · 1 citationarXiv
One Diffusion to Generate Them All2411.16318v2 · Duong H. Le, Tuan Pham, Sangho Lee et al.2024 · 9 citationsarXiv
HANNA: hard-constraint neural network for consistent activity coefficient prediction.39568941 · Specht, Thomas, Nagda, Mayank, Fellenz, Sophie et al.2026 · 50 citationsChemical science. 2024;15(47):19777-19786
Heavy-Tailed Diffusion Models2410.14171v2 · Kushagra Pandey, Jaideep Pathak, Yilun Xu et al.2024 · 3 citationsarXiv
Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.02408.05220v1 · Nicolas Hayer, Thorsten Wendel, Stephan Mandt et al.2024 · 31 citationsChemical Engineering Journal 504 (2025) 158667
JANET: Joint Adaptive predictioN-region Estimation for Time-series2407.06390v2 · Eshant English, Eliot Wong-Toi, Matteo Fontana et al.2024 · 2 citationsarXiv
Anomaly Detection of Tabular Data Using LLMs2406.16308v1 · Aodong Li, Yunhan Zhao, Chen Qiu et al.2024 · 5 citationsarXiv
Neural NeRF Compression2406.08943v1 · Tuan Pham, Stephan Mandt2024 · 0 citationsarXiv
Preserving Identity with Variational Score for General-purpose 3D Editing2406.08953v1 · Duong H. Le, Tuan Pham, Aniruddha Kembhavi et al.2024 · 1 citationarXiv
Fast Samplers for Inverse Problems in Iterative Refinement Models2405.17673v2 · Kushagra Pandey, Ruihan Yang, Stephan Mandt2024 · 0 citationsarXiv
Author Correction: Comparing storm resolving models and climates via unsupervised machine learning.38548802 · Mooers, Griffin, Pritchard, Mike, Beucler, Tom et al.2024 · 0 citationsScientific reports. 2024;14(1):7391
On the Challenges and Opportunities in Generative AI2403.00025v4 · Laura Manduchi, Clara Meister, Kushagra Pandey et al.2024 · 23 citationsarXiv
Towards Fast Stochastic Sampling in Diffusion Generative Models2402.07211v2 · Kushagra Pandey, Maja Rudolph, Stephan Mandt2024 · 0 citationsarXiv
Comparing storm resolving models and climates via unsupervised machine learning.38102176 · Mooers, Griffin, Pritchard, Mike, Beucler, Tom et al.2024 · 20 citationsScientific reports. 2023;13(1):22365
Precipitation Downscaling with Spatiotemporal Video Diffusion2312.06071v3 · Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan et al.2023 · 2 citationsarXiv
Early-Exit Neural Networks with Nested Prediction Sets2311.05931v2 · Metod Jazbec, Patrick Forr'e, Stephan Mandt et al.2023 · 2 citationsarXiv
Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds2310.20168v1 · Justus C. Will, Andrea M. Jenney, Kara D. Lamb et al.2023 · 1 citationarXiv
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent2310.18908v1 · Yibo Yang, Stephan Eckstein, Marcel Nutz et al.2023 · 6 citationsarXiv
Diffusion Probabilistic Modeling for Video Generation.37895590 · Yang, Ruihan, Srivastava, Prakhar, Mandt, Stephan2023 · 166 citationsEntropy (Basel, Switzerland). 2023;25(10)
Efficient Integrators for Diffusion Generative Models2310.07894v1 · Kushagra Pandey, Maja Rudolph, Stephan Mandt2023 · 0 citationsarXiv
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes.38644959 · Tran, Ba-Hien, Shahbaba, Babak, Mandt, Stephan et al.2024 · 2 citationsProceedings of machine learning research. 2023;202:34409-34430
Insights From Generative Modeling for Neural Video Compression.37030706 · Yang, Ruihan, Yang, Yibo, Marino, Joseph et al.2023 · 12 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(8):9908-9921
Understanding Pathologies of Deep Heteroskedastic Regression2306.16717v2 · Eliot Wong-Toi, Alex Boyd, Vincent Fortuin et al.2023 · 0 citationsarXiv
Computationally-Efficient Neural Image Compression with Shallow Decoders2304.06244v2 · Yibo Yang, Stephan Mandt2023 · 41 citationsarXiv
Deep Anomaly Detection on Tennessee Eastman Process Data2303.05904v1 · Fabian Hartung, Billy Joe Franks, Tobias Michels et al.2023 · 32 citationsarXiv
A Complete Recipe for Diffusion Generative Models2303.01748v2 · Kushagra Pandey, Stephan Mandt2023 · 6 citationsarXiv
Deep Anomaly Detection under Labeling Budget Constraints2302.07832v2 · Aodong Li, Chen Qiu, Marius Kloft et al.2023 · 6 citationsarXiv
Zero-Shot Anomaly Detection via Batch Normalization2302.07849v4 · Aodong Li, Chen Qiu, Marius Kloft et al.2023 · 36 citationsarXiv
Probabilistic Querying of Continuous-Time Event Sequences2211.08499v1 · Alex Boyd, Yuxin Chang, Stephan Mandt et al.2022 · 0 citationsarXiv
Career total: 162 works. 112 are in this corpus.Showing the 50 most recent.
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