EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants
arXiv preprint,
2024
Allan dos Santos Costa*
,
Ilan Mitnikov*
,
Franco Pellegrini*
,
Ameya Daigavane
,
Mario Geiger
,
Zhonglin Cao
,
Karsten Kreis
,
Tess Smidt
,
Emine Kucukbenli
,
Joseph Jacobson
Energy-Based Diffusion Language Models for Text Generation
arXiv preprint,
2024
Minkai Xu
,
Tomas Geffner
,
Karsten Kreis
,
Weili Nie
,
Yilun Xu
,
Jure Leskovec
,
Stefano Ermon
,
Arash Vahdat
Truncated Consistency Models
arXiv preprint,
2024
Sangyun Lee
,
Yilun Xu
,
Tomas Geffner
,
Giulia Fanti
,
Karsten Kreis
,
Arash Vahdat
,
Weili Nie
Multi-student Diffusion Distillation for Better One-step Generators
arXiv preprint,
2024
Yanke Song
,
Jonathan Lorraine
,
Weili Nie
,
Karsten Kreis
,
James Lucas
Molecule Generation with Fragment Retrieval Augmentation
Neural Information Processing Systems (NeurIPS),
2024
Seul Lee
,
Karsten Kreis
,
Srimukh Prasad Veccham
,
Meng Liu
,
Danny Reidenbach
,
Saee Gopal Paliwal
,
Arash Vahdat*
,
Weili Nie*
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Neural Information Processing Systems (NeurIPS),
2024
Giannis Daras
,
Weili Nie
,
Karsten Kreis
,
Alexandros G. Dimakis
,
Morteza Mardani
,
Nikola B. Kovachki
,
Arash Vahdat
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
Neural Information Processing Systems (NeurIPS),
2024
Siyi Gu*
,
Minkai Xu*
,
Alexander Powers
,
Weili Nie
,
Tomas Geffner
,
Karsten Kreis
,
Jure Leskovec
,
Arash Vahdat
,
Stefano Ermon
L4GM: Large 4D Gaussian Reconstruction Model
Neural Information Processing Systems (NeurIPS),
2024
Jiawei Ren
,
Kevin Xie
,
Ashkan Mirzaei
,
Hanxue Liang
,
Xiaohui Zeng
,
Karsten Kreis
,
Ziwei Liu
,
Antonio Torralba
,
Sanja Fidler
,
Seung Wook Kim
,
Huan Ling
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
International Conference on Machine Learning (ICML),
2024
Yilun Xu
,
Gabriele Corso
,
Tommi Jaakkola
,
Arash Vahdat
,
Karsten Kreis
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
International Conference on Machine Learning (ICML),
2024
Amirmojtaba Sabour
,
Sanja Fidler
,
Karsten Kreis
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
Computer Vision and Pattern Recognition (CVPR),
2024
Huan Ling*
,
Seung Wook Kim*
,
Antonio Torralba
,
Sanja Fidler
,
Karsten Kreis
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
Computer Vision and Pattern Recognition (CVPR),
2024
Dongsu Zhang
,
Francis Williams
,
Zan Gojcic
,
Karsten Kreis
,
Sanja Fidler
,
Young Min Kim
,
Amlan Kar
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
International Conference on Learning Representations (ICLR),
2024
Katja Schwarz
,
Seung Wook Kim
,
Jun Gao
,
Sanja Fidler
,
Andreas Geiger
,
Karsten Kreis
A Unified Approach for Text- and Image-guided 4D Scene Generation
arXiv preprint,
2023
Yufeng Zheng
,
Xueting Li
,
Koki Nagano
,
Sifei Liu
,
Karsten Kreis
,
Otmar Hilliges
,
Shalini De Mello
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
International Conference on Computer Vision (ICCV),
2023
Tianshi Cao
,
Karsten Kreis
,
Sanja Fidler
,
Nicholas Sharp*
,
Kangxue Yin*
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
International Conference on Computer Vision (ICCV),
2023
Daiqing Li*
,
Huan Ling*
,
Amlan Kar
,
David Acuna
,
Seung Wook Kim
,
Karsten Kreis
,
Antonio Torralba
,
Sanja Fidler
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR),
2023
Andreas Blattmann*
,
Robin Rombach*
,
Huan Ling*
,
Tim Dockhorn*
,
Seung Wook Kim
,
Sanja Fidler
,
Karsten Kreis
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR),
2023
Seung Wook Kim*
,
Bradley Brown*
,
Kangxue Yin
,
Karsten Kreis
,
Katja Schwarz
,
Daiqing Li
,
Robin Rombach
,
Antonio Torralba
,
Sanja Fidler
Magic3D: High-Resolution Text-to-3D Content Creation
Computer Vision and Pattern Recognition (CVPR),
2023
Chen-Hsuan Lin*
,
Jun Gao*
,
Luming Tang*
,
Towaki Takikawa*
,
Xiaohui Zeng*
,
Xun Huang
,
Karsten Kreis
,
Sanja Fidler†
,
Ming-Yu Liu†
,
Tsung-Yi Lin
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Computer Vision and Pattern Recognition (CVPR),
2023
Davis Rempe*
,
Zhengyi Luo*
,
Xue Bin Peng
,
Ye Yuan
,
Kris Kitani
,
Karsten Kreis
,
Sanja Fidler
,
Or Litany
Differentially Private Diffusion Models
Transactions on Machine Learning Research (TMLR),
2023
Tim Dockhorn
,
Tianshi Cao
,
Arash Vahdat
,
Karsten Kreis
Score-based Diffusion Models in Function Space
arXiv preprint,
2023
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
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
arXiv preprint,
2022
Yogesh Balaji
,
Seungjun Nah
,
Xun Huang
,
Arash Vahdat
,
Jiaming Song
,
Qinsheng Zhang
,
Karsten Kreis
,
Miika Aittala
,
Timo Aila
,
Samuli Laine
,
Bryan Catanzaro
,
Tero Karras
,
Ming-Yu Liu
Latent Space Diffusion Models of Cryo-EM Structures
Machine Learning for Structural Biology Workshop, NeurIPS,
2022
Karsten Kreis*
,
Tim Dockhorn*
,
Zihao Li
,
Ellen Zhong
GENIE: Higher-Order Denoising Diffusion Solvers
Neural Information Processing Systems (NeurIPS),
2022
Tim Dockhorn
,
Arash Vahdat
,
Karsten Kreis
LION: Latent Point Diffusion Models for 3D Shape Generation
Neural Information Processing Systems (NeurIPS),
2022
Xiaohui Zeng
,
Arash Vahdat
,
Francis Williams
,
Zan Gojcic
,
Or Litany
,
Sanja Fidler
,
Karsten Kreis
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Computer Vision and Pattern Recognition (CVPR),
2022
Seung Wook Kim
,
Karsten Kreis
,
Daiqing Li
,
Antonio Torralba
,
Sanja Fidler
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Computer Vision and Pattern Recognition (CVPR),
2022
Daiqing Li
,
Huan Ling
,
Seung Wook Kim
,
Karsten Kreis
,
Adela Barriuso
,
Sanja Fidler
,
Antonio Torralba
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
International Conference on Learning Representations (ICLR),
2022
Tim Dockhorn
,
Arash Vahdat
,
Karsten Kreis
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
International Conference on Learning Representations (ICLR),
2022
Zhisheng Xiao
,
Karsten Kreis
,
Arash Vahdat
Score-based Generative Modeling in Latent Space
Neural Information Processing Systems (NeurIPS),
2021
Arash Vahdat*
,
Karsten Kreis*
,
Jan Kautz
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Neural Information Processing Systems (NeurIPS),
2021
Tianshi Cao
,
Alex Bie
,
Arash Vahdat
,
Sanja Fidler
,
Karsten Kreis
EditGAN: High-Precision Semantic Image Editing
Neural Information Processing Systems (NeurIPS),
2021
Huan Ling*
,
Karsten Kreis*
,
Daiqing Li
,
Seung Wook Kim
,
Antonio Torralba
,
Sanja Fidler
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Neural Information Processing Systems (NeurIPS),
2021
Despoina Paschalidou
,
Amlan Kar
,
Maria Shugrina
,
Karsten Kreis
,
Andreas Geiger
,
Sanja Fidler
Causal Scene BERT: Improving object detection by searching for challenging groups of data
International Conference on Computer Vision (ICCV), 2nd AVVision Workshop,
2021
Cinjon Resnick
,
Or Litany
,
Amlan Kar
,
Karsten Kreis
,
James Lucas
,
Kyunghyun Cho
,
Sanja Fidler
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Computer Vision and Pattern Recognition (CVPR),
2021
Daiqing Li
,
Junlin Yang
,
Karsten Kreis
,
Antonio Torralba
,
Sanja Fidler
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Computer Vision and Pattern Recognition (CVPR),
2021
Towaki Takikawa*
,
Joey Litalien*
,
Kangxue Yin
,
Karsten Kreis
,
Charles Loop
,
Derek Nowrouzezahrai
,
Alec Jacobson
,
Morgan McGuire
,
Sanja Fidler
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
International Conference on Learning Representations (ICLR),
2021
Zhisheng Xiao
,
Karsten Kreis
,
Jan Kautz
,
Arash Vahdat
Variational Amodal Object Completion
Neural Information Processing Systems (NeurIPS),
2020
Huan Ling
,
David Acuna
,
Karsten Kreis
,
Seung Wook Kim
,
Sanja Fidler
ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation
Computer Physics Communications (CPC),
2019
Horacio V. Guzman
,
Nikita Tretyakov
,
Hideki Kobayashi
,
Aoife C. Fogarty
,
Karsten Kreis
,
Jakub Krajniak
,
Christoph Junghans
,
Kurt Kremer
,
Torsten Stuehn
From classical to quantum and back: Hamiltonian adaptive resolution path integral, ring polymer, and centroid molecular dynamics
Journal of Chemical Physics (JCP),
2017
Karsten Kreis
,
Kurt Kremer
,
Raffaello Potestio
,
Mark E. Tuckerman
The relative entropy is fundamental to adaptive resolution simulations
Journal of Chemical Physics (JCP),
2016
Karsten Kreis
,
Raffaello Potestio
Adaptive Resolution Simulations with Self-Adjusting High-Resolution Regions
Journal of Chemical Theory and Computation (JCTC),
2016
Karsten Kreis
,
Raffaello Potestio
,
Kurt Kremer
,
Aoife C. Fogarty
From Classical to Quantum and Back: A Hamiltonian Scheme for Adaptive Multiresolution Classical/Path-Integral Simulations
Journal of Chemical Theory and Computation (JCTC),
2016
Karsten Kreis
,
Mark E. Tuckerman
,
Davide Donadio
,
Kurt Kremer
,
Raffaello Potestio
Advantages and challenges in coupling an ideal gas to atomistic models in adaptive resolution simulations
The European Physical Journal Special Topics (EPJ ST),
2015
Karsten Kreis
,
Aoife C. Fogarty
,
Kurt Kremer
,
Raffaello Potestio
A unified framework for force-based and energy-based adaptive resolution simulations
Europhysics Letters (EPL),
2014
Karsten Kreis
,
Davide Donadio
,
Kurt Kremer
,
Raffaello Potestio
Classifying, quantifying, and witnessing qudit-qumode hybrid entanglement
Physical Review A (PRA),
2012
Karsten Kreis
,
Peter van Loock