SO
Sebastian Ober
cs.LGstat.MLq-bio.QM
On Valency
published · living versionsW_dzz75fay·v1 · currentpublished
Probabilistic Steering of Generative Priors for Lab-in-the-Loop Antibody Optimization
with Anisha Parsan, Calvin McCarter, Nick Bhattacharya, Hunter Elliott
1 version
Preprints & journals
18 papers in the corpus · 2019–2026Generative Models as Adaptive Trust Regions for Discrete Bayesian Optimisation2610.16992v1 · Michael Dodds, Erik Bodin, Sebastian W. Ober et al.2026 · 0 citationsarXiv
Is Sequence Information All You Need for Bayesian Optimization of Antibodies?2509.24933v1 · Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu et al.2025 · 0 citationsarXiv
Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization2509.16357v1 · Aniruddh Raghu, Sebastian Ober, Maxwell Kazman et al.2025 · 0 citationsarXiv
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces2507.03910v1 · Henry B. Moss, Sebastian W. Ober, Tom Diethe2025 · 0 citationsarXiv
Big Batch Bayesian Active Learning by Considering Predictive Probabilities2501.08223v1 · Sebastian W. Ober, Samuel Power, Tom Diethe et al.2025 · 0 citationsarXiv
Active learning for affinity prediction of antibodies2406.07263v1 · Alexandra Gessner, Sebastian W. Ober, Owen Vickery et al.2024 · 2 citationsarXiv
Recommendations for Baselines and Benchmarking Approximate Gaussian Processes2402.09849v1 · Sebastian W. Ober, Artem Artemev, Marcel Wagenlander et al.2024 · 1 citationarXiv
Towards Improved Variational Inference for Deep Bayesian Models2401.12418v1 · Sebastian W. Ober2024 · 0 citationsarXiv
An Improved Variational Approximate Posterior for the Deep Wishart Process2305.14454v1 · Sebastian Ober, Ben Anson, Edward Milsom et al.2023 · 1 citationarXiv
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow2302.08436v1 · Victor Picheny, Joel Berkeley, Henry B. Moss et al.2023 · 23 citationsarXiv
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation2301.10123v2 · Henry B. Moss, Sebastian W. Ober, Victor Picheny2023 · 5 citationsarXiv
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation2206.02437v2 · Henry B. Moss, Sebastian W. Ober, Victor Picheny2022 · 0 citationsarXiv
A variational approximate posterior for the deep Wishart process2107.10125v2 · Sebastian W. Ober, Laurence Aitchison2021 · 0 citationsarXiv
Last Layer Marginal Likelihood for Invariance Learning2106.07512v2 · Pola Schwobel, Martin J\orgensen, Sebastian W. Ober et al.2021 · 3 citationsarXiv
The Promises and Pitfalls of Deep Kernel Learning2102.12108v2 · Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk2021 · 38 citationsarXiv
Deep kernel processes2010.01590v2 · Laurence Aitchison, Adam X. Yang, Sebastian W. Ober2020 · 5 citationsarXiv
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes2005.08140v5 · Sebastian W. Ober, Laurence Aitchison2020 · 20 citationsarXiv
Benchmarking the Neural Linear Model for Regression1912.08416v1 · Sebastian W. Ober, Carl Edward Rasmussen2019 · 14 citationsarXiv
Career total: 24 works. 18 are in this corpus.
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