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)

Variational Amodal Object Completion. - Huan Ling; David Acuna; Karsten Kreis; Seung Wook Kim 001; Sanja Fidler (NeurIPS, 2020)

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. - Daiqing Li; Junlin Yang; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (CVPR, 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 (CVPR, 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 (ICCVW, 2021)

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. - Zhisheng Xiao; Karsten Kreis; Jan Kautz; Arash Vahdat (ICLR, 2021)

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. - Tianshi Cao; Alex Bie; Arash Vahdat; Sanja Fidler; Karsten Kreis (NeurIPS, 2021)

EditGAN: High-Precision Semantic Image Editing. - Huan Ling; Karsten Kreis; Daiqing Li; Seung Wook Kim 001; Antonio Torralba 001; Sanja Fidler (NeurIPS, 2021)

ATISS: Autoregressive Transformers for Indoor Scene Synthesis. - Despoina Paschalidou; Amlan Kar; Maria Shugrina; Karsten Kreis; Andreas Geiger 001; Sanja Fidler (NeurIPS, 2021)

Score-based Generative Modeling in Latent Space. - Arash Vahdat; Karsten Kreis; Jan Kautz (NeurIPS, 2021)

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. - Seung Wook Kim 001; Karsten Kreis; Daiqing Li; Antonio Torralba 001; Sanja Fidler (CVPR, 2022)

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Daiqing Li; Huan Ling; Seung Wook Kim 001; Karsten Kreis; Sanja Fidler; Antonio Torralba 001 (CVPR, 2022)

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. - Tim Dockhorn; Arash Vahdat; Karsten Kreis (ICLR, 2022)

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. - Zhisheng Xiao; Karsten Kreis; Arash Vahdat (ICLR, 2022)

GENIE: Higher-Order Denoising Diffusion Solvers. - Tim Dockhorn; Arash Vahdat; Karsten Kreis (NeurIPS, 2022)

LION: Latent Point Diffusion Models for 3D Shape Generation. - Xiaohui Zeng; Arash Vahdat; Francis Williams; Zan Gojcic; Or Litany; Sanja Fidler; Karsten Kreis (NeurIPS, 2022)

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Daiqing Li; Huan Ling; Seung Wook Kim 001; Karsten Kreis; Adela Barriuso; Sanja Fidler; Antonio Torralba 001 (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)

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 001 (CoRR, 2022)

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. - Seung Wook Kim 001; Bradley Brown; Kangxue Yin; Karsten Kreis; Katja Schwarz; Daiqing Li; Robin Rombach; Antonio Torralba 001; Sanja Fidler (CVPR, 2023)

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. - Andreas Blattmann; Robin Rombach; Huan Ling; Tim Dockhorn; Seung Wook Kim 001; Sanja Fidler; Karsten Kreis (CVPR, 2023)

Magic3D: High-Resolution Text-to-3D Content Creation. - Chen-Hsuan Lin 001; Jun Gao 004; Luming Tang; Towaki Takikawa; Xiaohui Zeng; Xun Huang; Karsten Kreis; Sanja Fidler; Ming-Yu Liu 001; Tsung-Yi Lin (CVPR, 2023)

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. - Davis Rempe; Zhengyi Luo 002; Xue Bin Peng; Ye Yuan 007; Kris Kitani; Karsten Kreis; Sanja Fidler; Or Litany (CVPR, 2023)

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. - Tianshi Cao; Karsten Kreis; Sanja Fidler; Nicholas Sharp; Kangxue Yin (ICCV, 2023)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models. - Daiqing Li; Huan Ling; Amlan Kar; David Acuna; Seung Wook Kim 001; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (ICCV, 2023)

SIGGRAPH 2023 Course on Diffusion Models. - Chenlin Meng; Jiaming Song; Shuang Li; Jun-Yan Zhu; Stefano Ermon; Tsung-Yi Lin; Chen-Hsuan Lin 001; Karsten Kreis (SIGGRAPH Courses, 2023)

Score-based Diffusion Models in Function Space. - Jae Hyun Lim 001; Nikola B. Kovachki; Ricardo Baptista; Christopher Beckham; Kamyar Azizzadenesheli; Jean Kossaifi; Vikram Voleti; Jiaming Song; Karsten Kreis; Jan Kautz; Christopher Pal; Arash Vahdat; et al. (CoRR, 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)

Differentially Private Diffusion Models. - Tim Dockhorn; Tianshi Cao; Arash Vahdat; Karsten Kreis (Trans. Mach. Learn. Res., 2023)

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models. - Huan Ling; Seung Wook Kim 001; Antonio Torralba 001; Sanja Fidler; Karsten Kreis (CVPR, 2024)

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. - Dongsu Zhang; Francis Williams; Zan Gojcic; Karsten Kreis; Sanja Fidler; Young Min Kim 001; Amlan Kar (CVPR, 2024)

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space. - Katja Schwarz; Seung Wook Kim 001; Jun Gao 004; Sanja Fidler; Andreas Geiger 001; Karsten Kreis (ICLR, 2024)

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models. - Amirmojtaba Sabour; Sanja Fidler; Karsten Kreis (ICML, 2024)

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. - Yilun Xu; Gabriele Corso; Tommi S. Jaakkola; Arash Vahdat; Karsten Kreis (ICML, 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 (NeurIPS, 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 (NeurIPS, 2024)

Molecule Generation with Fragment Retrieval Augmentation. - Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu 015; Danny Reidenbach; Saee Paliwal; Arash Vahdat; Weili Nie (NeurIPS, 2024)

L4GM: Large 4D Gaussian Reconstruction Model. - Jiawei Ren 001; Cheng Xie; Ashkan Mirzaei; Hanxue Liang; Xiaohui Zeng; Karsten Kreis; Ziwei Liu 002; Antonio Torralba 001; Sanja Fidler; Seung Wook Kim 001; Huan Ling (NeurIPS, 2024)

L4GM: Large 4D Gaussian Reconstruction Model. - Jiawei Ren 001; Kevin Xie; Ashkan Mirzaei; Hanxue Liang; Xiaohui Zeng; Karsten Kreis; Ziwei Liu 002; Antonio Torralba 001; Sanja Fidler; Seung Wook Kim 001; Huan Ling (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)

Multi-student Diffusion Distillation for Better One-step Generators. - Yanke Song; Jonathan Lorraine; Weili Nie; Karsten Kreis; James Lucas (CoRR, 2024)

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 (ICLR, 2025)

Truncated Consistency Models. - Sangyun Lee; Yilun Xu; Tomas Geffner; Giulia Fanti; Karsten Kreis; Arash Vahdat; Weili Nie (ICLR, 2025)

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids. - Hannes Stärk; Bowen Jing; Tomas Geffner; Jason Yim; Tommi S. Jaakkola; Arash Vahdat; Karsten Kreis (ICLR, 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 (ICLR, 2025)

Directed Graph Generation with Heat Kernels. - Marc T. Law; Karsten Kreis; Haggai Maron (Trans. Mach. Learn. Res., 2025)

GenMol: A Drug Discovery Generalist with Discrete Diffusion. - Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu 015; Danny Reidenbach; Yuxing Peng 005; Saee Paliwal; Weili Nie; Arash Vahdat (CoRR, 2025)

Align Your Flow: Scaling Continuous-Time Flow Map Distillation. - Amirmojtaba Sabour; Sanja Fidler; Karsten Kreis (CoRR, 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, 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, 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, 2025)