Tim Salimans
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
5
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion. | Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans |
| 2024 | ICML | Rolling Diffusion Models. | David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom |
| 2023 | CVPR | On Distillation of Guided Diffusion Models. | Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans |
| 2023 | ICLR | Blurring Diffusion Models. | Emiel Hoogeboom, Tim Salimans |
| 2023 | ICLR | Discrete Predictor-Corrector Diffusion Models for Image Synthesis. | Jos Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa |
| 2023 | ICML | simple diffusion: End-to-end diffusion for high resolution images. | Emiel Hoogeboom, Jonathan Heek, Tim Salimans |
| 2022 | ICLR | Autoregressive Diffusion Models. | Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans |
| 2022 | ICLR | Progressive Distillation for Fast Sampling of Diffusion Models. | Tim Salimans, Jonathan Ho |
| 2022 | SIGGRAPH | Palette: Image-to-Image Diffusion Models. | Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi |
| 2021 | ICLR | IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. | Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Snderby, Tim Salimans |
| 2020 | ICML | The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. | Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2020 | ICML | How Good is the Bayes Posterior in Deep Neural Networks Really? | Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2019 | ICLR | On the relationship between Normalising Flows and Variational- and Denoising Autoencoders. | Alexey A. Gritsenko, Jasper Snoek, Tim Salimans |
| 2018 | ICLR | Improving GANs Using Optimal Transport. | Tim Salimans, Han Zhang, Alec Radford, Dimitris N. Metaxas |
| 2017 | ICLR | Variational Lossy Autoencoder. | Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel |
| 2017 | ICLR | PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications. | Tim Salimans, Andrej Karpathy, Xi Chen, Diederik P. Kingma |
| 2015 | ICML | Markov Chain Monte Carlo and Variational Inference: Bridging the Gap. | Tim Salimans, Diederik P. Kingma, Max Welling |
| 2012 | RecSys | Collaborative learning of preference rankings. | Tim Salimans, Ulrich Paquet, Thore Graepel |