Karsten Kreis

According to our database, Karsten Kreis authored at least 51 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow.

Zhonglin Cao, Mario Geiger, Allan dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Küçükbenli

CoRR, July, 2025

La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching.

Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Küçükbenli, Karsten Kreis, Arash Vahdat

CoRR, July, 2025

Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting.

Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D. Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

CoRR, June, 2025

Align Your Flow: Scaling Continuous-Time Flow Map Distillation.

Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis

CoRR, June, 2025

GenMol: A Drug Discovery Generalist with Discrete Diffusion.

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, Arash Vahdat

CoRR, January, 2025

Directed Graph Generation with Heat Kernels.

Marc T. Law, Karsten Kreis, Haggai Maron

Trans. Mach. Learn. Res., 2025

Energy-Based Diffusion Language Models for Text Generation.

Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids.

Hannes Stärk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Truncated Consistency Models.

Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Proteina: Scaling Flow-based Protein Structure Generative Models.

Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Küçükbenli, Arash Vahdat, Karsten Kreis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Multi-student Diffusion Distillation for Better One-step Generators.

Yanke Song, Jonathan Lorraine, Weili Nie, Karsten Kreis, James Lucas

CoRR, 2024

EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants.

Allan dos Santos Costa, Ilan Mitnikov, Franco Pellegrini, Ameya Daigavane, Mario Geiger, Zhonglin Cao, Karsten Kreis, Tess E. Smidt, Emine Küçükbenli, Joseph Jacobson

CoRR, 2024

L4GM: Large 4D Gaussian Reconstruction Model.

Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling

CoRR, 2024

L4GM: Large 4D Gaussian Reconstruction Model.

Jiawei Ren, Cheng Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Molecule Generation with Fragment Retrieval Augmentation.

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization.

Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models.

Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents.

Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis

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

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models.

Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis

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

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata.

Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models.

Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Differentially Private Diffusion Models.

Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis

Trans. Mach. Learn. Res., 2023

A Unified Approach for Text- and Image-guided 4D Scene Generation.

Yufeng Zheng, Xueting Li, Koki Nagano, Sifei Liu, Karsten Kreis, Otmar Hilliges, Shalini De Mello

CoRR, 2023

Score-based Diffusion Models in Function Space.

Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar

CoRR, 2023

SIGGRAPH 2023 Course on Diffusion Models.

Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

DreamTeacher: Pretraining Image Backbones with Deep Generative Models.

Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.

Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.

Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.

Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu

CoRR, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data.

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

CoRR, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.

Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba

CoRR, 2022

LION: Latent Point Diffusion Models for 3D Shape Generation.

Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GENIE: Higher-Order Denoising Diffusion Solvers.

Tim Dockhorn, Arash Vahdat, Karsten Kreis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Zhisheng Xiao, Karsten Kreis, Arash Vahdat

Proceedings of the Tenth International Conference on Learning Representations, 2022

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion.

Tim Dockhorn, Arash Vahdat, Karsten Kreis

Proceedings of the Tenth International Conference on Learning Representations, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.

Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps.

Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Score-based Generative Modeling in Latent Space.

Arash Vahdat, Karsten Kreis, Jan Kautz

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

ATISS: Autoregressive Transformers for Indoor Scene Synthesis.

Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler

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

EditGAN: High-Precision Semantic Image Editing.

Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler

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

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence.

Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis

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

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models.

Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat

Proceedings of the 9th International Conference on Learning Representations, 2021

Causal BERT: Improving object detection by searching for challenging groups.

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes.

Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization.

Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Variational Amodal Object Completion.

Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation.

Horacio V. Guzman, Nikita Tretyakov, Hideki Kobayashi, Aoife C. Fogarty, Karsten Kreis, Jakub Krajniak, Christoph Junghans, Kurt Kremer, Torsten Stuehn

Comput. Phys. Commun., 2019