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

EMNLPCHiLL: Zeroshot Custom Interpretable Feature Extraction from Clinical Notes with Large Language ModelsIn The 2023 Conference on Empirical Methods in Natural Language Processing (to appear) 2023

EMNLPAligning Predictive Uncertainty with Clarification Questions in Grounded DialogIn The 2023 Conference on Empirical Methods in Natural Language Processing (to appear) Dec 2023

NeurIPSImplicit Neural Convolutional Kernels for Steerable CNNsIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSFlow Factorzied Representation LearningIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSRotating Features for Object DiscoveryIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSLatent Field Discovery in Interacting Dynamical Systems with Neural FieldsIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSTowards Anytime Classification in EarlyExit Architectures by Enforcing Conditional MonotonicityIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSLearning Dynamic Attributefactored World Models for Efficient Multiobject Reinforcement LearningIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSInvariant Neural Ordinary Differential EquationsIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSClifford group equivariant neural networksIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSDeep Gaussian Markov Random Fields for GraphStructured Dynamical SystemsIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSPractical and Asymptotically Exact Conditional Sampling in Diffusion ModelsIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSTopological Obstructions and How to Avoid ThemIn Thirtyseventh Conference on Neural Information Processing Systems (to appear) Dec 2023

NeurIPSThe MemoryPerturbation Equation: Understanding Model’s Sensitivity to DataIn Thirtyseventh Conference on Neural Information Processing Systems Dec 2023

CoRLOneshot Imitation Learning via Interaction WarpingIn 7th Annual Conference on Robot Learning Nov 2023

UAIExploiting Inferential Structure in Neural ProcessesIn The 39th Conference on Uncertainty in Artificial Intelligence Aug 2023

ICLRBridge the Inference Gaps of Neural Processes via Expectation MaximizationIn International Conference on Learning Representations Apr 2023

ICLRSamplingBased Inference for Large Linear Models, with Application to Linearised LaplaceIn International Conference on Learning Representations Apr 2023

AISTATS

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

NeurIPS
WorkshopActive Learning Policies for Solving Inverse ProblemsIn Neural Information Processing Systems Workshop on Adaptive Experimental Design and Active Learning in the Real World Dec 2023 
NeurIPS
WorkshopSwitching policies for solving inverse problemsIn Neural Information Processing Systems Workshop on Deep Learning and Inverse Problems Dec 2023
2022

IJCNNLogicbased AI for Interpretable Board Game Winner Prediction with Tsetlin MachineIn International Joint Conference on Neural Networks Nov 2022

NeurIPSLearning Expressive MetaRepresentations with Mixture of Expert Neural ProcessesIn Advances in Neural Information Processing Systems Nov 2022

IJCAIValue Refinement Network (VRN)In International Joint Conference on Artificial Intelligence Nov 2022
2021

UAIVariational combinatorial sequential Monte Carlo methods for Bayesian phylogenetic inferenceIn Proceedings of the ThirtySeventh Conference on Uncertainty in Artificial Intelligence 27–30 jul 2021

ICMLBayesian Deep Learning via Subnetwork InferenceIn Proceedings of the 38th International Conference on Machine Learning 18–24 jul 2021

JMLRNormalizing Flows for Probabilistic Modeling and InferenceJournal of Machine Learning Research 18–24 jul 2021

JMSOptimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Datadriven Behavioral SimulatorJournal of Medical Systems 18–24 jul 2021