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Near-Optimally Teaching the Crowd to Classify

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Near-Optimally Teaching the Crowd to Classify

Graph Chatbot

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Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

Bayesian reconstruction of memories stored in neural networks from their connectivity

Stochastic Modeling of Bedload Transport and Bar Development in Shallow Flow: Linear Stability Analysis and Numerical Simulation

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Multi-robot task allocation for safe planning against stochastic hazard dynamics

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Minimum Cost Intervention Design for Causal Effect Identification

Geometrical Treatise on the Modelling of 3D Particulate Inclusion-Matrix Microstructures with an Application to Historical Stone Masonry Walls

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

Low-Rank Tensor Methods for High-Dimensional Problems

Multi-robot task allocation for safe planning against stochastic hazard dynamics

Minimum Cost Intervention Design for Causal Effect Identification

Stochastic Modeling of Bedload Transport and Bar Development in Shallow Flow: Linear Stability Analysis and Numerical Simulation

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

Bayesian reconstruction of memories stored in neural networks from their connectivity

Validating functional redundancy with mixed generative adversarial networks

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Geometrical Treatise on the Modelling of 3D Particulate Inclusion-Matrix Microstructures with an Application to Historical Stone Masonry Walls

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

Near-Optimally Teaching the Crowd to Classify ￼

Graph Chatbot

Chattez avec Graph Search

Near-Optimally Teaching the Crowd to Classify