Alexander Terenin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | A Bayesian Approach for Task-Specific Next-Best-View Selection with Uncertain Geometry. | Jingsen Zhu, Silvia Selln, Alexander Terenin |
| 2025 | ICML | Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes. | Sidhanth Holalkere, David Bindel, Silvia Selln, Alexander Terenin |
| 2024 | AISTATS | A Unifying Variational Framework for Gaussian Process Motion Planning. | Lucas Cosier, Rares Iordan, Sicelukwanda N. T. Zwane, Giovanni Franzese, James T. Wilson, Marc Peter Deisenroth, Alexander Terenin, Yasemin Bekiroglu |
| 2024 | ICLR | Stochastic Gradient Descent for Gaussian Processes Done Right. | Jihao Andreas Lin, Shreyas Padhy, Javier Antorn, Austin Tripp, Alexander Terenin, Csaba Szepesvri, Jos Miguel Hernndez-Lobato, David Janz |
| 2021 | AISTATS | Matrn Gaussian Processes on Graphs. | Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande |
| 2021 | AISTATS | Aligning Time Series on Incomparable Spaces. | Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth |
| 2021 | AISTATS | Learning Contact Dynamics using Physically Structured Neural Networks. | Andreas Hochlehnert, Alexander Terenin, Steindr Smundsson, Marc Peter Deisenroth |
| 2021 | CoRL | Geometry-aware Bayesian Optimization in Robotics using Riemannian Matrn Kernels. | Nomie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo |
| 2020 | AISTATS | Variational Integrator Networks for Physically Structured Embeddings. | Steindr Smundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth |
| 2020 | AISTATS | Asynchronous Gibbs Sampling. | Alexander Terenin, Daniel Simpson, David Draper |
| 2020 | EMNLP | Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models. | Alexander Terenin, Mns Magnusson, Leif Jonsson |
| 2020 | ICML | Efficiently sampling functions from Gaussian process posteriors. | James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth |