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Tim Salimans

Identifiers

  • name variant Tim Salimans 0.60 · backfill

Papers (25)

  1. Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network cs.LG · 2026 · author #6
  2. Covariance-aware sampling for Diffusion Models stat.ML · 2026 · author #2
  3. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #728
  4. Imagen Video: High Definition Video Generation with Diffusion Models cs.CV · 2022 · author #11
  5. Classifier-Free Diffusion Guidance cs.LG · 2022 · author #2
  6. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding cs.CV · 2022 · author #11
  7. Video Diffusion Models cs.CV · 2022 · author #2
  8. Progressive Distillation for Fast Sampling of Diffusion Models cs.LG · 2022 · author #1
  9. Dota 2 with Large Scale Deep Reinforcement Learning cs.LG · 2019 · author #18
  10. Policy Gradient Search: Online Planning and Expert Iteration without Search Trees cs.LG · 2019 · author #4
  11. Learning Montezuma's Revenge from a Single Demonstration cs.LG · 2018 · author #1
  12. Improving GANs Using Optimal Transport cs.LG · 2018 · author #1
  13. Evolution Strategies as a Scalable Alternative to Reinforcement Learning stat.ML · 2017 · author #1
  14. PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications cs.LG · 2017 · author #1
  15. Variational Lossy Autoencoder cs.LG · 2016 · author #3
  16. Improving Variational Inference with Inverse Autoregressive Flow cs.LG · 2016 · author #2
  17. Improved Techniques for Training GANs cs.LG · 2016 · author #1
  18. A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features stat.ML · 2016 · author #1
  19. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks cs.LG · 2016 · author #1
  20. Variational Dropout and the Local Reparameterization Trick stat.ML · 2015 · author #2
  21. Markov Chain Monte Carlo and Variational Inference: Bridging the Gap stat.CO · 2014 · author #1
  22. Implementing and Automating Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression stat.CO · 2014 · author #1
  23. On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear Regression stat.CO · 2014 · author #1
  24. Observing Dark Worlds: A crowdsourcing experiment for dark matter mapping astro-ph.IM · 2013 · author #5
  25. Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression stat.CO · 2012 · author #1

Mentions

  • 1506.02557 #2 · backfill · confidence 0.70 Tim Salimans
  • 1410.6460 #1 · backfill · confidence 0.70 Tim Salimans
  • 1401.2135 #1 · backfill · confidence 0.70 Tim Salimans
  • 1401.1022 #1 · backfill · confidence 0.70 Tim Salimans
  • 1311.0704 #5 · backfill · confidence 0.70 Tim Salimans
  • 1206.6679 #1 · backfill · confidence 0.70 Tim Salimans
  • 2605.18190 #6 · arxiv_oai · confidence 0.70 Tim Salimans

Frequent Coauthors