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08/21/2023
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts
In this study, we focus on sampling from the latent space of generative ...
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01/16/2023
Simplex Autoencoders
Synthetic data generation is increasingly important due to privacy conce...
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11/02/2022
A Note on the Ramanujan Machine
The Ramanujan Machine project detects new expressions related to constan...
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10/30/2022
On Catalan Constant Continued Fractions
The Ramanujan Machine project detects new expressions related to constan...
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09/30/2022
A forensic analysis of the Google Home: repairing compressed data without error correction
This paper provides a detailed explanation of the steps taken to extract...
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05/27/2022
FedControl: When Control Theory Meets Federated Learning
To date, the most popular federated learning algorithms use coordinate-w...
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05/22/2022
Federated Learning Aggregation: New Robust Algorithms with Guarantees
Federated Learning has been recently proposed for distributed model trai...
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10/18/2021
Noise-Resilient Ensemble Learning using Evidence Accumulation Clustering
Ensemble Learning methods combine multiple algorithms performing the sam...
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10/14/2021
Tagged Documents Co-Clustering
Tags are short sequences of words allowing to describe textual and non-t...
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09/30/2021
Genealogical Population-Based Training for Hyperparameter Optimization
Hyperparameter optimization aims at finding more rapidly and efficiently...
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09/22/2021
Index t-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings
t-SNE is an embedding method that the data science community has widely ...
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09/21/2021
Generating Local Maps of Science using Deep Bibliographic Coupling
Bibliographic and co-citation coupling are two analytical methods widely...
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09/15/2021
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection
Many datasets take the form of a bipartite graph where two types of node...
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06/21/2021
Near-Optimal Pool Testing under Urgency Constraints
Detection of rare traits or diseases in a large population is challengin...
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05/10/2021
Physical Fault Injection and Side-Channel Attacks on Mobile Devices: A Comprehensive Survey
Today's mobile devices contain densely packaged system-on-chips (SoCs) w...
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04/18/2021
Explaining the Entombed Algorithm
In <cit.>, John Aycock and Tara Copplestone pose an open question, namel...
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03/15/2021
Return-Oriented Programming on RISC-V
This paper provides the first analysis on the feasibility of Return-Orie...
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02/03/2021
Convergence Voting: From Pairwise Comparisons to Consensus
An important aspect of AI design and ethics is to create systems that re...
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07/17/2020
Preservation of DNA Privacy During the Large Scale Detection of COVID-19
As humanity struggles to contain the global COVID-19 pandemic, privacy c...
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06/03/2020
At Most 43 Moves, At Least 29: Optimal Strategies and Bounds for Ultimate Tic-Tac-Toe
Ultimate Tic-Tac-Toe is a variant of the well known tic-tac-toe (noughts...
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05/25/2020
Keyed Non-Parametric Hypothesis Tests
The recent popularity of machine learning calls for a deeper understandi...
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05/10/2020
Approaching Optimal Duplicate Detection in a Sliding Window
Duplicate detection is the problem of identifying whether a given item h...
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05/06/2020
Optimal Covid-19 Pool Testing with a priori Information
As humanity struggles to contain the global Covid-19 infection, prophyla...
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08/10/2019
RISC-V: #AlphanumericShellcoding
We explain how to design RISC-V shellcodes capable of running arbitrary ...
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01/14/2019
