no code implementations • 12 May 2024 • Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van Den Broeck
We discuss the semantic loss, which injects knowledge about such structure, defined symbolically, into training by minimizing the network's violation of such dependencies, steering the network towards predicting distributions satisfying the underlying structure.
no code implementations • NeurIPS 2023 • Kareem Ahmed, Kai-Wei Chang, Guy Van Den Broeck
Under such distributions, computing the likelihood of even simple constraints is #P-hard.
1 code implementation • 22 Nov 2023 • Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van Den Broeck
In many cases, these weak labels dictate the frequency of each respective class over a set of instances.
1 code implementation • 3 Oct 2023 • Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van Den Broeck, Mathias Niepert, Christopher Morris
Message-passing graph neural networks (MPNNs) emerged as powerful tools for processing graph-structured input.
no code implementations • 28 Feb 2023 • Kareem Ahmed, Kai-Wei Chang, Guy Van Den Broeck
Numerous neuro-symbolic approaches have recently been proposed typically with the goal of adding symbolic knowledge to the output layer of a neural network.
1 code implementation • 4 Oct 2022 • Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van Den Broeck
$k$-subset sampling is ubiquitous in machine learning, enabling regularization and interpretability through sparsity.
1 code implementation • 1 Jun 2022 • Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van Den Broeck, Antonio Vergari
We design a predictive layer for structured-output prediction (SOP) that can be plugged into any neural network guaranteeing its predictions are consistent with a set of predefined symbolic constraints.
no code implementations • 7 Feb 2022 • Rania Gaber, AbdElmgied Ali, Kareem Ahmed
There are several types of IR radiation based on the range of wavelength and corresponding frequency.
no code implementations • 25 Jan 2022 • Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van Den Broeck
We propose a loss, neuro-symbolic entropy regularization, that encourages the model to confidently predict a valid object.
no code implementations • 20 Mar 2021 • Kareem Ahmed, Eric Wang, Guy Van Den Broeck, Kai-Wei Chang
We study the problem of entity-relation extraction in the presence of symbolic domain knowledge.
no code implementations • 8 Oct 2016 • I. M. El-Henawy, Kareem Ahmed
The second feature vector describes the texture using eigenvalues of the 39 sub-bands that are generated after applying four levels 2D DWT in each channel (red, green and blue channels) of the image.