:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dolores-Cuenca, Eric, Guzman-Saenz, Aldo, Kim, Sangil, Lopez-Moreno, Susana, Mendoza-Cortes, Jose
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Category Theory 68T07, 06A99, 68T05, 18M60, 52B11, 68Q55, 14T10, 06F99 I.2.6; I.5.1
Online Access:	https://arxiv.org/abs/2412.06097
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)

Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
by: Hille, Tobias, et al.
Published: (2024)

AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
by: Aman, La Ode, et al.
Published: (2024)

Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)

Customizing Graph Neural Networks using Path Reweighting
by: Chen, Jianpeng, et al.
Published: (2021)

Hybrid quantum tensor networks for aeroelastic applications
by: Hickmann, M. Lautaro, et al.
Published: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)

Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
by: Ma, Minghui, et al.
Published: (2026)

Higher-Order Networks Representation and Learning: A Survey
by: Tian, Hao, et al.
Published: (2024)

Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)

Globular subdivisions are dihomotopy equivalences
by: Gaucher, Philippe
Published: (2025)

A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology
by: Bagley, Bryce Allen, et al.
Published: (2024)

Generating DDPM-based Samples from Tilted Distributions
by: Mandal, Himadri, et al.
Published: (2026)

Model-Free Local Recalibration of Neural Networks
by: Torres, R., et al.
Published: (2024)

Generative AI in Transportation Planning: A Survey
by: Da, Longchao, et al.
Published: (2025)

On the Equivalence of Regression and Classification
by: Jayadeva, et al.
Published: (2025)

Graded Transformers
by: Shaska Sr, Tony
Published: (2025)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
by: Du, Jin, et al.
Published: (2025)

torchsom: The Reference PyTorch Library for Self-Organizing Maps
by: Berthier, Louis, et al.
Published: (2025)

Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization
by: Kavun, Sergii
Published: (2025)

Covering Relations in the Poset of Combinatorial Neural Codes
by: Jeffs, R. Amzi, et al.
Published: (2025)

InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer
by: Zhang, Tony, et al.
Published: (2025)

A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
by: Lantigua, Said, et al.
Published: (2025)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)

Finding Cliques in Geometric Intersection Graphs with Grounded or Stabbed Constraints
by: Keil, J. Mark, et al.
Published: (2025)

PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology
by: Vomo-Donfack, Kelly L, et al.
Published: (2026)

Utilizing redundancies in Qubit Hilbert Space to reduce entangling gate counts in the Unitary Vibrational Coupled-Cluster Method
by: Szczepanik, Michal, et al.
Published: (2024)

ARDO: A Weak Formulation Deep Neural Network Method for Elliptic and Parabolic PDEs Based on Random Differences of Test Functions
by: Cai, Wei, et al.
Published: (2025)

Dimensionality reduction and width of deep neural networks based on topological degree theory
by: Yang, Xiao-Song
Published: (2025)

Towards Conversational AI for Human-Machine Collaborative MLOps
by: Fatouros, George, et al.
Published: (2025)

Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
by: Riccio, Donato, et al.
Published: (2024)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)

Flow State: Humans Enabling AI Systems to Program Themselves
by: Zhang, Helena, et al.
Published: (2025)

The Influence of Color Stimuli on Adolescents' Emotion Playing Mobile Games
by: Kallabis, Leonie, et al.
Published: (2024)

Benchmarking changepoint detection algorithms on cardiac time series
by: Cakmak, Ayse, et al.
Published: (2024)

The Maximum Clique Problem in a Disk Graph Made Easy
by: Keil, J. Mark, et al.
Published: (2024)

Spiking Sequence Machines and Transformers
by: Bose, Joy
Published: (2026)

Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification
by: Hoang, Anh T., et al.
Published: (2023)

Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
by: Codega, Gabriele, et al.
Published: (2025)

Functional dimension of feedforward ReLU neural networks
by: Grigsby, J. Elisenda, et al.
Published: (2022)