Diederik P. Kingma
Identifiers
- name variant Diederik P. Kingma 0.60 · backfill
Papers (26)
- Adam-mini: Use Fewer Learning Rates To Gain More cs.LG · 2024 · author #6
- Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation cs.LG · 2023 · author #1
- On Distillation of Guided Diffusion Models cs.CV · 2022 · author #4
- Imagen Video: High Definition Video Generation with Diffusion Models cs.CV · 2022 · author #7
- Variational Diffusion Models cs.LG · 2021 · author #1
- How to Train Your Energy-Based Models cs.LG · 2021 · author #2
- Learning Energy-Based Models by Diffusion Recovery Likelihood cs.LG · 2020 · author #5
- Score-Based Generative Modeling through Stochastic Differential Equations cs.LG · 2020 · author #3
- Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis cs.CL · 2020 · author #5
- On Linear Identifiability of Learned Representations stat.ML · 2020 · author #3
- ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA stat.ML · 2020 · author #3
- Flow Contrastive Estimation of Energy-Based Models stat.ML · 2019 · author #3
- Variational Autoencoders and Nonlinear ICA: A Unifying Framework stat.ML · 2019 · author #2
- An Introduction to Variational Autoencoders cs.LG · 2019 · author #1
- Glow: Generative Flow with Invertible 1x1 Convolutions stat.ML · 2018 · author #1
- Learning Sparse Neural Networks through $L_0$ Regularization stat.ML · 2017 · author #3
- PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications cs.LG · 2017 · author #4
- Variational Lossy Autoencoder cs.LG · 2016 · author #2
- Improving Variational Inference with Inverse Autoregressive Flow cs.LG · 2016 · author #1
- Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks cs.LG · 2016 · author #2
- Variational Dropout and the Local Reparameterization Trick stat.ML · 2015 · author #1
- Note on Equivalence Between Recurrent Neural Network Time Series Models and Variational Bayesian Models cs.LG · 2015 · author #2
- Adam: A Method for Stochastic Optimization cs.LG · 2014 · author #1
- Markov Chain Monte Carlo and Variational Inference: Bridging the Gap stat.CO · 2014 · author #2
- Semi-Supervised Learning with Deep Generative Models cs.LG · 2014 · author #1
- Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets cs.LG · 2014 · author #1
Mentions
- 2406.16793 #6 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2303.00848 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2107.00630 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2210.03142 #4 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2210.02303 #7 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2012.08125 #5 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2101.03288 #2 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2011.13456 #3 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2011.03568 #5 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1907.04809 #2 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2002.11537 #3 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 2007.00810 #3 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1912.00589 #3 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1906.02691 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1807.03039 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1712.01312 #3 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1611.02731 #2 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1606.04934 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1412.6980 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1701.05517 #4 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1504.08025 #2 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1602.07868 #2 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1506.02557 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1410.6460 #2 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1402.0480 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1406.5298 #1 · arxiv_oai · confidence 0.70 Diederik P. Kingma
- 1506.02557 #1 · backfill · confidence 0.70 Diederik P. Kingma
- 1504.08025 #2 · backfill · confidence 0.70 Diederik P. Kingma
- 1412.6980 #1 · backfill · confidence 0.70 Diederik P. Kingma
- 1410.6460 #2 · backfill · confidence 0.70 Diederik P. Kingma
- 1406.5298 #1 · backfill · confidence 0.70 Diederik P. Kingma
- 1402.0480 #1 · backfill · confidence 0.70 Diederik P. Kingma
Frequent Coauthors
- Tim Salimans 9 shared papers
- Max Welling 7 shared papers
- Ruiqi Gao 5 shared papers
- Ben Poole 4 shared papers
- Jonathan Ho 3 shared papers
- Xi Chen 3 shared papers
- Yang Song 3 shared papers
- Aapo Hyv\"arinen 2 shared papers
- Ilya Sutskever 2 shared papers
- Ilyes Khemakhem 2 shared papers
- Jascha Sohl-Dickstein 2 shared papers
- Prafulla Dhariwal 2 shared papers
- Ricardo Pio Monti 2 shared papers
- Stefano Ermon 2 shared papers
- Ying Nian Wu 2 shared papers
- Abhishek Kumar 1 shared papers
- Alexey Gritsenko 1 shared papers
- Andrej Karpathy 1 shared papers
- Andrew M. Dai 1 shared papers
- Chenlin Meng 1 shared papers