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L2XGNN: learning to explain graph neural networks
Graph Neural Networks (GNNs) are a popular class of machine learning models. Inspired by the learning to explain (L2X) paradigm, we propose L2xGnn , a...
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Explainable dating of greek papyri images
Greek literary papyri, which are unique witnesses of antique literature, do not usually bear a date. They are thus currently dated based on...
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Compressed sensing: a discrete optimization approach
We study the Compressed Sensing (CS) problem, which is the problem of finding the most sparse vector that satisfies a set of linear measurements up...
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TOPCOAT: towards practical two-party Crystals-Dilithium
The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main...
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Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
The effectiveness of multimodal sentiment analysis hinges on the seamless integration of information from diverse modalities, where the quality of...
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Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems
We address a general optimization problem involving the minimization of a composite objective functional defined over a class of probability...
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Regional bias in monolingual English language models
In Natural Language Processing (NLP), pre-trained language models (LLMs) are widely employed and refined for various tasks. These models have shown...
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Conformal predictions for probabilistically robust scalable machine learning classification
Conformal predictions make it possible to define reliable and robust learning algorithms. But they are essentially a method for evaluating whether an...
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Neural discovery of balance-aware polarized communities
Signed graphs are a model to depict friendly ( positive ) or antagonistic ( negative ) interactions (edges) among users (nodes). 2-Polarized-Communities (
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Permutation-invariant linear classifiers
Invariant concept classes form the backbone of classification algorithms immune to specific data transformations, ensuring consistent predictions...
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FairMOE: counterfactually-fair mixture of experts with levels of interpretability
With the rise of artificial intelligence in our everyday lives, the need for human interpretation of machine learning models’ predictions emerges as...
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Fast linear model trees by PILOT
Linear model trees are regression trees that incorporate linear models in the leaf nodes. This preserves the intuitive interpretation of decision...
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A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting
In this paper, we propose systematic approaches for learning imbalanced data based on a two-regime process: regime 0, which generates excess zeros...
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Low resource Twi-English parallel corpus for machine translation in multiple domains (Twi-2-ENG)
Although Ghana does not have one unique language for its citizens, the Twi dialect stands a chance of fulfilling this purpose. Twi is among the...
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An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization
Due to a growing demand for efficient deep learning models capable of both high performance and reduced costs in terms of computation, model...
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Short-term POI recommendation with personalized time-weighted latent ranking
In this paper, we formulate a novel Point-of-interest (POI) recommendation task to recommend a set of new POIs for visit in a short period following...
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Rule learning by modularity
In this paper, we present a modular methodology that combines state-of-the-art methods in (stochastic) machine learning with well-established methods...
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DOLD: a digital platform for conducting online language experiments and surveys
Despite its potential for reducing costs, increasing efficiency, and expanding participant diversity, online data collection has not been widely...
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The order of operations and A/Ā interactions
Double object constructions provide an ideal context in which to investigate interactions between multiple instances of movement. With two internal...
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PROUD: PaRetO-gUided diffusion model for multi-objective generation
Recent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent...
