:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wolinski, Pierre, Arbel, Julyan
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2205.12379
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit
por: Zhou, Julien, et al.
Publicado: (2024)

Gathering and Exploiting Higher-Order Information when Training Large Structured Models
por: Wolinski, Pierre
Publicado: (2023)

Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
por: Zhou, Julien, et al.
Publicado: (2024)

Simulation-based inference of yeast centromeres
por: Touron, Eloïse, et al.
Publicado: (2025)

$\textit{BlockFormer}$ : Transformer-based inference from interaction maps
por: Touron, Eloïse, et al.
Publicado: (2026)

Error analysis of a compositional score-based algorithm for simulation-based inference
por: Touron, Camille, et al.
Publicado: (2025)

Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference
por: Touron, Camille, et al.
Publicado: (2026)

Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection
por: Yahiaoui, Mohamed Bahi, et al.
Publicado: (2026)

An Equivalence between Bayesian Priors and Penalties in Variational Inference
por: Wolinski, Pierre, et al.
Publicado: (2020)

Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation
por: Rosa, Rafael Mouallem, et al.
Publicado: (2026)

Natural Variational Annealing for Multimodal Optimization
por: LeMinh, Tâm, et al.
Publicado: (2025)

Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms
por: Bystrova, Daria, et al.
Publicado: (2023)

Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables
por: Barreto, Mathias, et al.
Publicado: (2024)

Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization
por: Refael, Yehonathan, et al.
Publicado: (2022)

Optimal sub-Gaussian variance proxy for 3-mass distributions
por: Atouani, Soufiane, et al.
Publicado: (2025)

Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
por: Bergna, Richard, et al.
Publicado: (2025)

Just rotate it! Uncertainty estimation in closed-source models via multiple queries
por: Pitas, Konstantinos, et al.
Publicado: (2024)

Deep Reinforcement Learning for System-on-Chip: Myths and Realities
por: Sung, Tegg Taekyong, et al.
Publicado: (2022)

Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
por: Sendera, Marcin, et al.
Publicado: (2024)

EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
por: Arbel, Michael, et al.
Publicado: (2025)

Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks
por: Wei, Yi, et al.
Publicado: (2026)

MLXP: A Framework for Conducting Replicable Experiments in Python
por: Arbel, Michael, et al.
Publicado: (2024)

Flow Matching for Robust Simulation-Based Inference under Model Misspecification
por: Ruhlmann, Pierre-Louis, et al.
Publicado: (2025)

Semiring Activation in Neural Networks
por: Smets, Bart M. N., et al.
Publicado: (2024)

Functional Bilevel Optimization for Machine Learning
por: Petrulionyte, Ieva, et al.
Publicado: (2024)

Learning Neural Networks with Sparse Activations
por: Awasthi, Pranjal, et al.
Publicado: (2024)

Shrinkage for Extreme Partial Least-Squares
por: Arbel, Julyan, et al.
Publicado: (2024)

PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
por: Arbel, Michael, et al.
Publicado: (2026)

Complex Interpolation of Matrices with an application to Multi-Manifold Learning
por: Arbel, Adi, et al.
Publicado: (2026)

Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
por: Okoyomon, Ehimare, et al.
Publicado: (2025)

Contextual Bandit Optimization with Pre-Trained Neural Networks
por: Terekhov, Mikhail
Publicado: (2025)

Pre-Defined Sparse Neural Networks with Hardware Acceleration
por: Dey, Sourya, et al.
Publicado: (2018)

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
por: Durso-Finley, Joshua, et al.
Publicado: (2024)

Seeking Interpretability and Explainability in Binary Activated Neural Networks
por: Leblanc, Benjamin, et al.
Publicado: (2022)

Deep Neural Network Initialization with Sparsity Inducing Activations
por: Price, Ilan, et al.
Publicado: (2024)

Approximation Capabilities of Feedforward Neural Networks with GELU Activations
por: Yakovlev, Konstantin, et al.
Publicado: (2025)

Behind the Myth of Exploration in Policy Gradients
por: Bolland, Adrien, et al.
Publicado: (2024)

Ray-Tracing for Conditionally Activated Neural Networks
por: Gallicchio, Claudio, et al.
Publicado: (2025)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
por: Arbel, Iftach, et al.
Publicado: (2024)

1-Lipschitz Neural Networks are more expressive with N-Activations
por: Prach, Bernd, et al.
Publicado: (2023)