David Duvenaud
Identifiers
- name variant David Duvenaud 0.60 · backfill
Papers (36)
- Alignment faking in large language models cs.AI · 2024 · author #10
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cs.AI · 2024 · author #4
- Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training cs.CR · 2024 · author #15
- Towards Understanding Sycophancy in Language Models cs.CL · 2023 · author #4
- Latent ODEs for Irregularly-Sampled Time Series cs.LG · 2019 · author #3
- Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions cs.LG · 2019 · author #4
- Invertible Residual Networks cs.LG · 2018 · author #4
- FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models cs.LG · 2018 · author #5
- Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples cs.LG · 2018 · author #3
- Explaining Image Classifiers by Counterfactual Generation cs.CV · 2018 · author #4
- Scalable Recommender Systems through Recursive Evidence Chains cs.IR · 2018 · author #5
- Neural Ordinary Differential Equations cs.LG · 2018 · author #4
- Stochastic Hyperparameter Optimization through Hypernetworks cs.LG · 2018 · author #2
- Isolating Sources of Disentanglement in Variational Autoencoders cs.LG · 2018 · author #4
- Inference Suboptimality in Variational Autoencoders cs.LG · 2018 · author #3
- Generating and designing DNA with deep generative models cs.LG · 2017 · author #4
- Noisy Natural Gradient as Variational Inference cs.LG · 2017 · author #3
- Backpropagation through the Void: Optimizing control variates for black-box gradient estimation cs.LG · 2017 · author #5
- Reinterpreting Importance-Weighted Autoencoders stat.ML · 2017 · author #3
- Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference stat.ML · 2017 · author #3
- Automatic chemical design using a data-driven continuous representation of molecules cs.LG · 2016 · author #3
- Neural networks for the prediction organic chemistry reactions physics.chem-ph · 2016 · author #2
- Composing graphical models with neural networks for structured representations and fast inference stat.ML · 2016 · author #2
- Convolutional Networks on Graphs for Learning Molecular Fingerprints cs.LG · 2015 · author #1
- Early Stopping is Nonparametric Variational Inference stat.ML · 2015 · author #2
- Gradient-based Hyperparameter Optimization through Reversible Learning stat.ML · 2015 · author #2
- Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces stat.ML · 2014 · author #2
- Warped Mixtures for Nonparametric Cluster Shapes cs.LG · 2014 · author #2
- Optimally-Weighted Herding is Bayesian Quadrature cs.LG · 2014 · author #2
- Probabilistic ODE Solvers with Runge-Kutta Means stat.ML · 2014 · author #2
- Avoiding pathologies in very deep networks stat.ML · 2014 · author #1
- Automatic Construction and Natural-Language Description of Nonparametric Regression Models stat.ML · 2014 · author #2
- Structure Discovery in Nonparametric Regression through Compositional Kernel Search stat.ML · 2013 · author #1
- Warped Mixtures for Nonparametric Cluster Shapes stat.ML · 2012 · author #2
- Optimally-Weighted Herding is Bayesian Quadrature stat.ML · 2012 · author #2
- Additive Gaussian Processes stat.ML · 2011 · author #1
Mentions
- 1409.4011 #2 · backfill · confidence 0.70 David Duvenaud
- 1408.2061 #2 · backfill · confidence 0.70 David Duvenaud
- 1408.2049 #2 · backfill · confidence 0.70 David Duvenaud
- 1406.2582 #2 · backfill · confidence 0.70 David Duvenaud
- 1402.5836 #1 · backfill · confidence 0.70 David Duvenaud
- 1402.4304 #2 · backfill · confidence 0.70 David Duvenaud
- 1302.4922 #1 · backfill · confidence 0.70 David Duvenaud
- 1206.1846 #2 · backfill · confidence 0.70 David Duvenaud
- 1204.1664 #2 · backfill · confidence 0.70 David Duvenaud
- 1112.4394 #1 · backfill · confidence 0.70 David Duvenaud
- 2406.10162 #4 · arxiv_oai · confidence 0.70 David Duvenaud
Frequent Coauthors
- Roger Grosse 6 shared papers
- Ryan P. Adams 6 shared papers
- Ricky T. Q. Chen 5 shared papers
- Zoubin Ghahramani 5 shared papers
- Ethan Perez 4 shared papers
- Samuel R. Bowman 4 shared papers
- Al\'an Aspuru-Guzik 3 shared papers
- Buck Shlegeris 3 shared papers
- Carson Denison 3 shared papers
- Dougal Maclaurin 3 shared papers
- Evan Hubinger 3 shared papers
- Jared Kaplan 3 shared papers
- Monte MacDiarmid 3 shared papers
- Nicholas Schiefer 3 shared papers
- Shauna Kravec 3 shared papers
- Will Grathwohl 3 shared papers
- Amanda Askell 2 shared papers
- Anna Goldenberg 2 shared papers
- Chris Cremer 2 shared papers
- Fazl Barez 2 shared papers