Sebastian W. Ober

29 papers A* 5A 4C 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How to make the most of your masked language model for protein engineering. CoRR Calvin McCarter, Nick Bhattacharya, Sebastian W. Ober, Hunter Elliott
2025	J	`jnl`	A Unification of Discrete, Gaussian, and Simplicial Diffusion. CoRR Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson
2025	J	`jnl`	Big Batch Bayesian Active Learning by Considering Predictive Probabilities. CoRR Sebastian W. Ober, Samuel Power, Tom Diethe, Henry B. Moss
2025	J	`jnl`	Is Sequence Information All You Need for Bayesian Optimization of Antibodies? CoRR Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu, Yucen Lily Li, Alan Nawzad Amin, Andrew Gordon Wilson, Hunter Elliott
2025	A*	`conf`	Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces. ICML Henry B. Moss, Sebastian W. Ober, Tom Diethe
2025	J	`jnl`	Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces. CoRR Henry B. Moss, Sebastian W. Ober, Tom Diethe
2024	J	`jnl`	Active learning for affinity prediction of antibodies. CoRR Alexandra Gessner, Sebastian W. Ober, Owen Vickery, Dino Oglic, Talip Uçar
2024	J	`jnl`	Recommendations for Baselines and Benchmarking Approximate Gaussian Processes. CoRR Sebastian W. Ober, Artem Artemev, Marcel Wagenländer, Rudolfs Grobins, Mark van der Wilk
2024	J	`jnl`	Towards Improved Variational Inference for Deep Bayesian Models. CoRR Sebastian W. Ober
2023	J	`jnl`	An Improved Variational Approximate Posterior for the Deep Wishart Process. CoRR Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison
2023	A	`conf`	An improved variational approximate posterior for the deep Wishart process. UAI Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison
2023	A	`conf`	Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. AISTATS Henry B. Moss, Sebastian W. Ober, Victor Picheny
2023	J	`jnl`	Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. CoRR Henry B. Moss, Sebastian W. Ober, Victor Picheny
2023	J	`jnl`	Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt
2022	A*	`conf`	Bayesian Neural Network Priors Revisited. ICLR Vincent Fortuin, Adrià Garriga-Alonso, Sebastian W. Ober, Florian Wenzel, Gunnar Rätsch, Richard E. Turner, Mark van der Wilk, Laurence Aitchison
2022	J	`jnl`	Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation. CoRR Henry B. Moss, Sebastian W. Ober, Victor Picheny
2022	A	`conf`	Last Layer Marginal Likelihood for Invariance Learning. AISTATS Pola Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark van der Wilk
2021	A*	`conf`	A variational approximate posterior for the deep Wishart process. NeurIPS Sebastian W. Ober, Laurence Aitchison
2021	J	`jnl`	A variational approximate posterior for the deep Wishart process. CoRR Sebastian W. Ober, Laurence Aitchison
2021	A*	`conf`	Deep Kernel Processes. ICML Laurence Aitchison, Adam X. Yang, Sebastian W. Ober
2021	A*	`conf`	Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes. ICML Sebastian W. Ober, Laurence Aitchison
2021	J	`jnl`	Last Layer Marginal Likelihood for Invariance Learning. CoRR Pola Elisabeth Schwöbel, Martin Jørgensen, Sebastian W. Ober, Mark van der Wilk
2021	J	`jnl`	The Promises and Pitfalls of Deep Kernel Learning. CoRR Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk
2021	A	`conf`	The promises and pitfalls of deep kernel learning. UAI Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk
2020	J	`jnl`	Deep kernel processes. CoRR Laurence Aitchison, Adam X. Yang, Sebastian W. Ober
2020	J	`jnl`	Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes. CoRR Sebastian W. Ober, Laurence Aitchison
2020	J	`jnl`	Understanding Variational Inference in Function-Space. CoRR David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk
2019	J	`jnl`	Benchmarking the Neural Linear Model for Regression. CoRR Sebastian W. Ober, Carl Edward Rasmussen
2017	C	`conf`	Modeling and detecting student attention and interest level using wearable computers. BSN Ziwei Zhu, Sebastian W. Ober, Roozbeh Jafari