Cover Image

Apply Distributed CNN on Genomics to accelerate Transcription-Factor TAL1 Motif Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Assali, Tasnim, Ayoub, Zayneb Trabelsi, Ouni, Sofiane
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization
by: Lei, Ru, et al.
Published: (2024)

Predictive Modeling in the Reservoir Kernel Motif Space
by: Tino, Peter, et al.
Published: (2024)

Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing
by: Boccato, Tommaso, et al.
Published: (2024)

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)

Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
by: Zhang, Wenrui, et al.
Published: (2021)

SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
by: Dhakad, Narendra Singh, et al.
Published: (2024)

Motif Diversity in Human Liver ChIP-seq Data Using MAP-Elites
by: Medina, Alejandro, et al.
Published: (2026)

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
by: Liang, Zhenyu, et al.
Published: (2024)

Real-time processing of analog signals on accelerated neuromorphic hardware
by: Stradmann, Yannik, et al.
Published: (2026)

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
by: Zheng, Bowen, et al.
Published: (2025)

Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation
by: Hamzaoui, Imane, et al.
Published: (2024)

GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III
by: Li, Hao, et al.
Published: (2025)

TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
by: Wang, Lishuang, et al.
Published: (2025)

EventQueues: Autodifferentiable spike event queues for brain simulation on AI accelerators
by: Landsmeer, Lennart P. L., et al.
Published: (2025)

Texture Regenerating and Grafting Using Genome-Driven Neural Cellular Automata
by: Catrina, Mirela-Magdalena, et al.
Published: (2026)

Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
by: Huang, Weixiong, et al.
Published: (2025)

Embodied Neuromorphic Control Applied on a 7-DOF Robotic Manipulator
by: Wang, Ziqi, et al.
Published: (2025)

Asynchronous Distributed Genetic Algorithms with Javascript and JSON
by: Merelo, Juan Julián, et al.
Published: (2024)

Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
by: Garbus, Jack, et al.
Published: (2025)

Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
by: Jedidia, Firas Ben, et al.
Published: (2023)

A Topological Improvement of the Overall Performance of Sparse Evolutionary Training: Motif-Based Structural Optimization of Sparse MLPs Project
by: Chen, Xiaotian, et al.
Published: (2025)

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
by: Boissin, Thibaut, et al.
Published: (2025)

An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization
by: Falcón-Cardona, Jesús Guillermo, et al.
Published: (2024)

General Self-Prediction Enhancement for Spiking Neurons
by: Huang, Zihan, et al.
Published: (2026)

Online Training of Hopfield Networks using Predictive Coding
by: Ganjidoost, Ehsan, et al.
Published: (2024)

Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
by: Wang, Bing, et al.
Published: (2024)

The Geno-Synthetic Algorithm: Type-Factored Coevolutionary Optimization for Heterogeneous Genotypes and Assembled Phenotypes
by: Bogdan, Alex
Published: (2026)

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2023)

Were You Helpful -- Predicting Helpful Votes from Amazon Reviews
by: Kirimlioglu, Emin, et al.
Published: (2024)

Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems
by: Ishibuchi, Hisao, et al.
Published: (2025)

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements
by: Unger, Moshe, et al.
Published: (2025)

Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions
by: Li, Xuanfeng, et al.
Published: (2026)

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
by: Duan, Qiqi, et al.
Published: (2023)

More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA
by: Scholman, Renzo J., et al.
Published: (2025)

Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
by: Ahmad, Ijaz, et al.
Published: (2026)

Continual Learning with Hebbian Plasticity in Sparse and Predictive Coding Networks: A Survey and Perspective
by: Safa, Ali
Published: (2024)

Research on Aerodynamic Performance Prediction of Airfoils Based on a Fusion Algorithm of Transformer and GAN
by: MaolinYang, et al.
Published: (2025)

Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers
by: Laredo, Juan Luis Jiménez, et al.
Published: (2024)

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
by: Neumann, Frank, et al.
Published: (2021)

Evolution imposes an inductive bias that alters and accelerates learning dynamics
by: Midler, Benjamin, et al.
Published: (2025)