Search Results for author: Amauri Souza

Found 5 papers, 3 papers with code

Embarrassingly Parallel GFlowNets

no code implementations5 Jun 2024 Tiago da Silva, Luiz Max Carvalho, Amauri Souza, Samuel Kaski, Diego Mesquita

First, in parallel, we train a local GFlowNet targeting each $R_n$ and send the resulting models to the server.

Learning Robust Statistics for Simulation-based Inference under Model Misspecification

1 code implementation NeurIPS 2023 Daolang Huang, Ayush Bharti, Amauri Souza, Luigi Acerbi, Samuel Kaski

Simulation-based inference (SBI) methods such as approximate Bayesian computation (ABC), synthetic likelihood, and neural posterior estimation (NPE) rely on simulating statistics to infer parameters of intractable likelihood models.

Time Series

Minimal Learning Machine for Multi-Label Learning

1 code implementation9 May 2023 Joonas Hämäläinen, Amauri Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

Distance-based supervised method, the minimal learning machine, constructs a predictive model from data by learning a mapping between input and output distance matrices.

Multi-Label Classification Multi-Label Learning

Distill n' Explain: explaining graph neural networks using simple surrogates

1 code implementation17 Mar 2023 Tamara Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri Souza

We also propose FastDnX, a faster version of DnX that leverages the linear decomposition of our surrogate model.

Knowledge Distillation

Neural Network Out-of-Distribution Detection for Regression Tasks

no code implementations25 Sep 2019 Geoff Pleiss, Amauri Souza, Joseph Kim, Boyi Li, Kilian Q. Weinberger

Neural network out-of-distribution (OOD) detection aims to identify when a model is unable to generalize to new inputs, either due to covariate shift or anomalous data.

Out-of-Distribution Detection Out of Distribution (OOD) Detection +1

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