Showing 1–20 of 33 results
/ Date/ Name
Jul 4, 2019A Quantum Field Theory of Representation LearningJul 4, 2017Structured Black Box Variational Inference for Latent Time Series ModelsApr 13, 2015Equilibration and Approximate Conservation Laws: Dipole Oscillations and Perfect Drag of Ultracold Atoms in a Harmonic TrapFeb 15, 2020Extreme Classification via Adversarial Softmax ApproximationSep 30, 2019Tightening Bounds for Variational Inference by Revisiting Perturbation TheoryJul 1, 2019Augmenting and Tuning Knowledge Graph EmbeddingsMar 8, 2018Improving Optimization for Models With Continuous Symmetry BreakingJan 5, 2022Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's PerspectiveOct 30, 2023A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data & Overparameterization?Jun 12, 2024Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical PropertiesFeb 27, 2017Dynamic Word EmbeddingsJan 29, 2020Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix CompletionApr 27, 2023Resampling Gradients Vanish in Differentiable Sequential Monte Carlo SamplersJul 30, 2013Phase-Space Berry Phases in Chiral Magnets: Dzyaloshinskii-Moriya Interaction and the Charge of SkyrmionsJun 7, 2020Improving Inference for Neural Image CompressionFeb 18, 2020Variational Bayesian QuantizationSep 21, 2017Perturbative Black Box Variational InferenceNov 10, 2017Bayesian Paragraph VectorsOct 30, 2023The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution MismatchFeb 9, 2023Trading Information between Latents in Hierarchical Variational Autoencoders