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Variational Inference

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TitleStatusHype
Federated Variational Inference for Bayesian Mixture Models—0
Using the Path of Least Resistance to Explain Deep NetworksCode0
Simplify RLHF as Reward-Weighted SFT: A Variational Method—0
Censor Dependent Variational InferenceCode0
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics—0
Quantification of model error for inverse problems in the Weak Neural Variational Inference framework—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
Koopman-Equivariant Gaussian Processes—0
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?Code0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
Mixture of neural operator experts for learning boundary conditions and model selection—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic SpaceCode0
Approximate Message Passing for Bayesian Neural NetworksCode0
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer—0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Globally Convergent Variational InferenceCode0
Compact Bayesian Neural Networks via pruned MCMC samplingCode0
Analog Bayesian neural networks are insensitive to the shape of the weight distribution—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
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