Karaletsos, Theofanis

17 publications

NeurIPS 2025 Transformers for Mixed-Type Event Sequences Felix Draxler, Yang Meng, Kai Nelson, Lukas Laskowski, Yibo Yang, Theofanis Karaletsos, Stephan Mandt

ICML 2025 Variational Control for Guidance in Diffusion Models Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt

ICLR 2024 Channel Vision Transformers: An Image Is Worth 1 X 16 X 16 Words Yujia Bao, Srinivasan Sivanandan, Theofanis Karaletsos

ICML 2024 Position: Bayesian Deep Learning Is Needed in the Age of Large-Scale AI Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

NeurIPSW 2023 Channel Vision Transformers: An Image Is Worth C X 16 X 16 Words Yujia Bao, Srinivasan Sivanandan, Theofanis Karaletsos

NeurIPSW 2023 Compositional Deep Probabilistic Models of DNA Encoded Libraries Benson Chen, Mohammad Sultan, Theofanis Karaletsos

NeurIPSW 2023 Machine Learning Derived Embeddings of Bulk Multi-Omics Data Enable Clinically Significant Representations in a Pan-Cancer Cohort Sanjay Nagaraj, Zachary R McCaw, Theofanis Karaletsos, Daphne Koller, Anna Shcherbina

NeurIPS 2023 Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder Michael Bereket, Theofanis Karaletsos

NeurIPS 2022 Black-Box Coreset Variational Inference Dionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos

ICML 2021 Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor, Theofanis Karaletsos, Thang D Bui

AAAI 2020 Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos

NeurIPS 2020 Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos, Thang D Bui

AISTATS 2019 Pathwise Derivatives for Multivariate Distributions Martin Jankowiak, Theofanis Karaletsos

MLOSS 2019 Pyro: Deep Universal Probabilistic Programming Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul Szerlip, Paul Horsfall, Noah D. Goodman

CVPR 2017 Conditional Similarity Networks Andreas Veit, Serge Belongie, Theofanis Karaletsos

AAAI 2016 A Generative Model of Words and Relationships from Multiple Sources Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch

ICLR 2016 When Crowds Hold Privileges: Bayesian Unsupervised Representation Learning with Oracle Constraints Theofanis Karaletsos, Serge J. Belongie, Gunnar Rätsch