Erik Bodin - RankMe

14 papers A* 3A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Define latent spaces by example: optimisation over the outputs of generative models. CoRR Samuel Willis, Alexandru I. Stere, Dragos D. Margineantu, Henry T. Oldroyd, John A. Fozard, Carl Henrik Ek, Henry Moss, Erik Bodin
2025	A*	`conf`	Linear combinations of latents in generative models: subspaces and beyond. ICLR Erik Bodin, Alexandru I. Stere, Dragos D. Margineantu, Carl Henrik Ek, Henry Moss
2024	J	`jnl`	Linear combinations of latents in diffusion models: interpolation and beyond. CoRR Erik Bodin, Henry Moss, Carl Henrik Ek
2021	A*	`conf`	Black-box density function estimation using recursive partitioning. ICML Erik Bodin, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
2021	J	`jnl`	Making Differentiable Architecture Search less local. CoRR Erik Bodin, Federico Tomasi, Zhenwen Dai
2020	J	`jnl`	Black-box density function estimation using recursive partitioning. CoRR Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek
2020	A	`conf`	Compositional uncertainty in deep Gaussian processes. UAI Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2020	A*	`conf`	Modulating Surrogates for Bayesian Optimization. ICML Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill W. Campbell, Carl Henrik Ek
2019	J	`jnl`	Compositional uncertainty in deep Gaussian processes. CoRR Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2019	J	`jnl`	Modulated Bayesian Optimization using Latent Gaussian Process Models. CoRR Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek
2018	—	`conf`	Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. ACCV (4) Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. CoRR Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell
2017	J	`jnl`	Latent Gaussian Process Regression. CoRR Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2017	J	`jnl`	Nonparametric Inference for Auto-Encoding Variational Bayes. CoRR Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell