Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Fuente:
arXiv
Saved in:
| Main Authors: | Yahyati, Chaymae, Lamaakal, Ismail, Makkaoui, Khalid El, Ouahbi, Ibrahim, Maleh, Yassine |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
by: Lamaakal, Ismail, et al.
Published: (2025)
by: Lamaakal, Ismail, et al.
Published: (2025)
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
by: Lamaakal, Ismail, et al.
Published: (2025)
by: Lamaakal, Ismail, et al.
Published: (2025)
Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
by: Lamaakal, Ismail, et al.
Published: (2026)
by: Lamaakal, Ismail, et al.
Published: (2026)
BayesQ: Uncertainty-Guided Bayesian Quantization
by: Lamaakal, Ismail, et al.
Published: (2025)
by: Lamaakal, Ismail, et al.
Published: (2025)
When Bits Break Recourse: Counterfactual-Faithful Quantization
by: Yahyati, Chaymae, et al.
Published: (2026)
by: Yahyati, Chaymae, et al.
Published: (2026)
T3C: Test-Time Tensor Compression with Consistency Guarantees
by: Lamaakal, Ismail, et al.
Published: (2026)
by: Lamaakal, Ismail, et al.
Published: (2026)
BlockMEDC: Blockchain Smart Contracts for Securing Moroccan Higher Education Digital Certificates
by: Fartitchou, Mohamed, et al.
Published: (2024)
by: Fartitchou, Mohamed, et al.
Published: (2024)
Motion-Compensated Weight Compression
by: Lamaakal, Ismail
Published: (2026)
by: Lamaakal, Ismail
Published: (2026)
ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs
by: Jabri, Chaymae El, et al.
Published: (2024)
by: Jabri, Chaymae El, et al.
Published: (2024)
a-TMFG: Scalable Triangulated Maximally Filtered Graphs via Approximate Nearest Neighbors
by: Yelibi, Lionel
Published: (2026)
by: Yelibi, Lionel
Published: (2026)
FEM-Informed Hypergraph Neural Networks for Efficient Elastoplasticity
by: Yang, Jianchuan, et al.
Published: (2026)
by: Yang, Jianchuan, et al.
Published: (2026)
MiSiSUn: Minimum Simplex Semisupervised Unmixing
by: Rasti, Behnood, et al.
Published: (2026)
by: Rasti, Behnood, et al.
Published: (2026)
Key Principles of Graph Machine Learning: Representation, Robustness, and Generalization
by: Abbahaddou, Yassine
Published: (2026)
by: Abbahaddou, Yassine
Published: (2026)
A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics
by: Damare, Amol, et al.
Published: (2022)
by: Damare, Amol, et al.
Published: (2022)
Data-Driven Plasticity Modeling via Acoustic Profiling
by: El-Awady, Khalid
Published: (2026)
by: El-Awady, Khalid
Published: (2026)
Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning
by: Paracha, Anum, et al.
Published: (2024)
by: Paracha, Anum, et al.
Published: (2024)
SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection
by: Jan, Baber, et al.
Published: (2025)
by: Jan, Baber, et al.
Published: (2025)
VAE for Modified 1-Hot Generative Materials Modeling, A Step Towards Inverse Material Design
by: El-Awady, Khalid
Published: (2023)
by: El-Awady, Khalid
Published: (2023)
Learning 3-Manifold Triangulations
by: Costantino, Francesco, et al.
Published: (2024)
by: Costantino, Francesco, et al.
Published: (2024)
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks
by: Liu, Emily
Published: (2024)
by: Liu, Emily
Published: (2024)
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
by: Attali, Hugo, et al.
Published: (2025)
by: Attali, Hugo, et al.
Published: (2025)
Measurement for Opaque Systems: Multi-source Triangulation with Interpretable Machine Learning
by: Foster, Margaret
Published: (2026)
by: Foster, Margaret
Published: (2026)
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
by: Zhang, Daokun, et al.
Published: (2024)
by: Zhang, Daokun, et al.
Published: (2024)
Simplex-enabled Safe Continual Learning Machine
by: Cao, Hongpeng, et al.
Published: (2024)
by: Cao, Hongpeng, et al.
Published: (2024)
No Triangulation Without Representation: Generalization in Topological Deep Learning
by: Schmidt, Johannes S., et al.
Published: (2026)
by: Schmidt, Johannes S., et al.
Published: (2026)
Simplex Deep Linear Discriminant Analysis
by: Tezekbayev, Maxat, et al.
Published: (2026)
by: Tezekbayev, Maxat, et al.
Published: (2026)
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
by: Roy, Utsha, et al.
Published: (2024)
by: Roy, Utsha, et al.
Published: (2024)
SecureLearn -- An Attack-agnostic Defense for Multiclass Machine Learning Against Data Poisoning Attacks
by: Paracha, Anum, et al.
Published: (2025)
by: Paracha, Anum, et al.
Published: (2025)
RSD: A Local Triangulation Audit Primitive for Learned Vector Blocks
by: Jin, Seungmin
Published: (2026)
by: Jin, Seungmin
Published: (2026)
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
by: Chiaroni, Florent, et al.
Published: (2022)
by: Chiaroni, Florent, et al.
Published: (2022)
MANTRA: The Manifold Triangulations Assemblage
by: Ballester, Rubén, et al.
Published: (2024)
by: Ballester, Rubén, et al.
Published: (2024)
Simplex-to-Euclidean Bijections for Categorical Flow Matching
by: Williams, Bernardo, et al.
Published: (2025)
by: Williams, Bernardo, et al.
Published: (2025)
Better Neural Network Expressivity: Subdividing the Simplex
by: Bakaev, Egor, et al.
Published: (2025)
by: Bakaev, Egor, et al.
Published: (2025)
GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular Domains
by: Rowbottom, James, et al.
Published: (2026)
by: Rowbottom, James, et al.
Published: (2026)
Approximation of RKHS Functionals by Neural Networks
by: Zhou, Tian-Yi, et al.
Published: (2024)
by: Zhou, Tian-Yi, et al.
Published: (2024)
Replicable Reinforcement Learning with Linear Function Approximation
by: Eaton, Eric, et al.
Published: (2025)
by: Eaton, Eric, et al.
Published: (2025)
Nonstationary Reinforcement Learning with Linear Function Approximation
by: Zhou, Huozhi, et al.
Published: (2020)
by: Zhou, Huozhi, et al.
Published: (2020)
LLMs Judging LLMs: A Simplex Perspective
by: Vossler, Patrick, et al.
Published: (2025)
by: Vossler, Patrick, et al.
Published: (2025)
RL as Regressor: A Reinforcement Learning Approach for Function Approximation
by: Huang, Yongchao
Published: (2025)
by: Huang, Yongchao
Published: (2025)
Robust Multi-Manifold Clustering via Simplex Paths
by: Chen, Haoyu, et al.
Published: (2025)
by: Chen, Haoyu, et al.
Published: (2025)
Similar Items
-
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
by: Lamaakal, Ismail, et al.
Published: (2025) -
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
by: Lamaakal, Ismail, et al.
Published: (2025) -
Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
by: Lamaakal, Ismail, et al.
Published: (2026) -
BayesQ: Uncertainty-Guided Bayesian Quantization
by: Lamaakal, Ismail, et al.
Published: (2025) -
When Bits Break Recourse: Counterfactual-Faithful Quantization
by: Yahyati, Chaymae, et al.
Published: (2026)