Search Results for author:
Found 9 papers, 5 papers with code
A machine learning workflow to address credit default prediction
Due to the recent increase in interest in Financial Technology (FinTech), applications like credit default prediction (CDP) are gaining significant industrial and academic attention.
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation
We combine a generator LLM for creating new samples and an embedder LLM to ensure diversity.
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models
Evaluating and comparing text-to-image models is a challenging problem.
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
In this research work we present CLIP-GLaSS, a novel zero-shot framework to generate an image (or a caption) corresponding to a given caption (or image).
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms
In this research, some of the issues that arise from the scalarization of the multi-objective optimization problem in the Advantage Actor Critic (A2C) reinforcement learning algorithm are investigated.
Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation
This paper proposes the Mesh Neural Network (MNN), a novel architecture which allows neurons to be connected in any topology, to efficiently route information.
Using stigmergy as a computational memory in the design of recurrent neural networks
A formal ontology of SM is discussed, and the SM-RNN architecture is detailed.
A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage
This measure can be used by policy makers to evaluate the effect of policies and change them dynamically.
Stigmergy-based modeling to discover urban activity patterns from positioning data
However, discovering urban activity patterns from the emergent behavior of crowds involves complex system modeling.
