2 citations · 2 across the 4 of their papers we have counts for
4 papers
BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models
Ludovic Arnould, Salim Khazem, Hugues Ali Mehenni
Visual Language Models (VLMs) are now sufficiently advanced to support a broad range of applications, including answering complex visual questions, and are increasingly expected to…
Sparse tree-based initialization for neural networks
Patrick Lutz, Ludovic Arnould, Claire Boyer +1
Dedicated neural network (NN) architectures have been designed to handle specific data types (such as CNN for images or RNN for text), which ranks them among state-of-the-art metho…
Is interpolation benign for random forest regression?
Ludovic Arnould, Claire Boyer, Erwan Scornet
Statistical wisdom suggests that very complex models, interpolating training data, will be poor at predicting unseen examples.Yet, this aphorism has been recently challenged by the…
Analyzing the tree-layer structure of Deep Forests
Ludovic Arnould, Claire Boyer, Erwan Scornet +1
Random forests on the one hand, and neural networks on the other hand, have met great success in the machine learning community for their predictive performance. Combinations of bo…