Publications
Check out our people page to get an impression of the research done by the people at AMLab, and of course follow us on Twitter to stay tuned! Below you'll find an archive our groups output in ML research, all the way back to 1994!
2023
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NeurIPSLatent Field Discovery in Interacting Dynamical Systems with Neural FieldsIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSTowards Anytime Classification in Early-Exit Architectures by Enforcing Conditional MonotonicityIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSLearning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement LearningIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSInvariant Neural Ordinary Differential EquationsIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSClifford group equivariant neural networksIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSDeep Gaussian Markov Random Fields for Graph-Structured Dynamical SystemsIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSPractical and Asymptotically Exact Conditional Sampling in Diffusion ModelsIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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NeurIPSTopological Obstructions and How to Avoid ThemIn Thirty-seventh Conference on Neural Information Processing Systems (to appear) Dec 2023
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CoRLOne-shot Imitation Learning via Interaction WarpingIn 7th Annual Conference on Robot Learning Nov 2023
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UAIExploiting Inferential Structure in Neural ProcessesIn The 39th Conference on Uncertainty in Artificial Intelligence Aug 2023
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ICLRBridge the Inference Gaps of Neural Processes via Expectation MaximizationIn International Conference on Learning Representations Apr 2023
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ICLRSampling-Based Inference for Large Linear Models, with Application to Linearised LaplaceIn International Conference on Learning Representations Apr 2023
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AISTATS
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AISTATSLearning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal EnsemblesIn Proceedings of The 26th International Conference on Artificial Intelligence and Statistics Apr 2023
2022
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IJCNNLogic-based AI for Interpretable Board Game Winner Prediction with Tsetlin MachineIn International Joint Conference on Neural Networks Nov 2022
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NeurIPSLearning Expressive Meta-Representations with Mixture of Expert Neural ProcessesIn Advances in Neural Information Processing Systems Nov 2022
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IJCAIValue Refinement Network (VRN)In International Joint Conference on Artificial Intelligence Jul 2022
2021
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UAIVariational combinatorial sequential Monte Carlo methods for Bayesian phylogenetic inferenceIn Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence 27–30 jul 2021
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ICMLBayesian Deep Learning via Subnetwork InferenceIn Proceedings of the 38th International Conference on Machine Learning 18–24 jul 2021
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JMLRNormalizing Flows for Probabilistic Modeling and InferenceJournal of Machine Learning Research 18–24 jul 2021
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JMSOptimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral SimulatorJournal of Medical Systems 18–24 jul 2021