The E$Δ$-MHC-Geo Transformer: Adaptive Geodesic Operations with Guaranteed Orthogonality
Fuente:
arXiv
Guardado en:
| Autor principal: | Shahmansoori, Arash |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
por: Lau, Matthew, et al.
Publicado: (2023)
por: Lau, Matthew, et al.
Publicado: (2023)
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
por: Chen, Xi, et al.
Publicado: (2025)
por: Chen, Xi, et al.
Publicado: (2025)
Estimating the Event-Related Potential from Few EEG Trials
por: Nørskov, Anders Vestergaard, et al.
Publicado: (2025)
por: Nørskov, Anders Vestergaard, et al.
Publicado: (2025)
JacNet: Learning Functions with Structured Jacobians
por: Lorraine, Jonathan, et al.
Publicado: (2024)
por: Lorraine, Jonathan, et al.
Publicado: (2024)
Explicit Dropout: Deterministic Regularization for Transformer Architectures
por: Agrawal, Vidhi, et al.
Publicado: (2026)
por: Agrawal, Vidhi, et al.
Publicado: (2026)
Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
por: Ho, Siu Hang, et al.
Publicado: (2025)
por: Ho, Siu Hang, et al.
Publicado: (2025)
iLTM: Integrated Large Tabular Model
por: Bonet, David, et al.
Publicado: (2025)
por: Bonet, David, et al.
Publicado: (2025)
Model-Free Local Recalibration of Neural Networks
por: Torres, R., et al.
Publicado: (2024)
por: Torres, R., et al.
Publicado: (2024)
Deep Legendre Transform
por: Minabutdinov, Aleksey, et al.
Publicado: (2025)
por: Minabutdinov, Aleksey, et al.
Publicado: (2025)
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
por: Nowotny, Thomas, et al.
Publicado: (2022)
por: Nowotny, Thomas, et al.
Publicado: (2022)
Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis
por: Hennadii, Kutomanov
Publicado: (2026)
por: Hennadii, Kutomanov
Publicado: (2026)
SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
Massive Redundancy in Gradient Transport Enables Sparse Online Learning
por: Merin, Aur Shalev
Publicado: (2026)
por: Merin, Aur Shalev
Publicado: (2026)
Is Cambodia the World's Largest Cashew Producer?
por: Chaya, Veasna, et al.
Publicado: (2024)
por: Chaya, Veasna, et al.
Publicado: (2024)
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
por: K, Prasanth K, et al.
Publicado: (2025)
por: K, Prasanth K, et al.
Publicado: (2025)
Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
por: Sarabi, Ali, et al.
Publicado: (2025)
por: Sarabi, Ali, et al.
Publicado: (2025)
From Taylor Series to Fourier Synthesis: The Periodic Linear Unit
por: Kudo, Shiko
Publicado: (2025)
por: Kudo, Shiko
Publicado: (2025)
The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
por: Lotfi, Ali, et al.
Publicado: (2026)
por: Lotfi, Ali, et al.
Publicado: (2026)
H-Model: Dynamic Neural Architectures for Adaptive Processing
por: Hospodarchuk, Dmytro
Publicado: (2025)
por: Hospodarchuk, Dmytro
Publicado: (2025)
Local properties of neural networks through the lens of layer-wise Hessians
por: Bolshim, Maxim, et al.
Publicado: (2025)
por: Bolshim, Maxim, et al.
Publicado: (2025)
ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
por: BC, Samiksha
Publicado: (2025)
por: BC, Samiksha
Publicado: (2025)
Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
por: Bolshim, Maxim, et al.
Publicado: (2026)
por: Bolshim, Maxim, et al.
Publicado: (2026)
Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
por: Bolshim, Maxim, et al.
Publicado: (2026)
por: Bolshim, Maxim, et al.
Publicado: (2026)
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
por: Heinrichs, Florian
Publicado: (2024)
por: Heinrichs, Florian
Publicado: (2024)
Learning Sign Language Representation using CNN LSTM, 3DCNN, CNN RNN LSTM and CCN TD
por: Louison, Nikita, et al.
Publicado: (2024)
por: Louison, Nikita, et al.
Publicado: (2024)
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
por: Heurtebise, Ambroise, et al.
Publicado: (2025)
por: Heurtebise, Ambroise, et al.
Publicado: (2025)
Neural Encoding for Image Recall: Human-Like Memory
por: Foussereau, Virgile, et al.
Publicado: (2024)
por: Foussereau, Virgile, et al.
Publicado: (2024)
InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer
por: Zhang, Tony, et al.
Publicado: (2025)
por: Zhang, Tony, et al.
Publicado: (2025)
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
por: Alagöz, Celal, et al.
Publicado: (2026)
por: Alagöz, Celal, et al.
Publicado: (2026)
Tricks and Plug-ins for Gradient Boosting with Transformers
por: Fang, Biyi, et al.
Publicado: (2025)
por: Fang, Biyi, et al.
Publicado: (2025)
Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
por: Manoj, Midhun
Publicado: (2025)
por: Manoj, Midhun
Publicado: (2025)
PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)
Complex-Valued Phase-Coherent Transformer
por: Hioki, Leona
Publicado: (2026)
por: Hioki, Leona
Publicado: (2026)
Predictive Modeling of Maritime Radar Data Using Transformer Architecture
por: Qesaraku, Bjorna, et al.
Publicado: (2025)
por: Qesaraku, Bjorna, et al.
Publicado: (2025)
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
por: Du, Wenzhang
Publicado: (2025)
por: Du, Wenzhang
Publicado: (2025)
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
por: Sajjadi, Arash, et al.
Publicado: (2025)
por: Sajjadi, Arash, et al.
Publicado: (2025)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
por: Wibbeke, Jelke, et al.
Publicado: (2025)
por: Wibbeke, Jelke, et al.
Publicado: (2025)
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
por: He, Jiaqi, et al.
Publicado: (2025)
por: He, Jiaqi, et al.
Publicado: (2025)
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
por: Riccio, Donato, et al.
Publicado: (2024)
por: Riccio, Donato, et al.
Publicado: (2024)
Context-dependent manifold learning: A neuromodulated constrained autoencoder approach
por: Adriaens, Jérôme, et al.
Publicado: (2026)
por: Adriaens, Jérôme, et al.
Publicado: (2026)
Ejemplares similares
-
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
por: Lau, Matthew, et al.
Publicado: (2023) -
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
por: Chen, Xi, et al.
Publicado: (2025) -
Estimating the Event-Related Potential from Few EEG Trials
por: Nørskov, Anders Vestergaard, et al.
Publicado: (2025) -
JacNet: Learning Functions with Structured Jacobians
por: Lorraine, Jonathan, et al.
Publicado: (2024) -
Explicit Dropout: Deterministic Regularization for Transformer Architectures
por: Agrawal, Vidhi, et al.
Publicado: (2026)