Image de couverture de livre

Subgroups of $U(d)$ Induce Natural RNN and Transformer Architectures

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Nunley, Joshua
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Computation and Language 68T07, 22E70 I.2.6; G.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
par: Uddin, Md Joshem, et autres
Publié: (2024)

S$^3$: Structured Sparsity Specification
par: Ghriss, Ayoub
Publié: (2026)

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
par: Murray, Michael, et autres
Publié: (2025)

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
par: Guo, Dongxin, et autres
Publié: (2026)

Metriplector: From Field Theory to Neural Architecture
par: Oprisa, Dan, et autres
Publié: (2026)

H-Model: Dynamic Neural Architectures for Adaptive Processing
par: Hospodarchuk, Dmytro
Publié: (2025)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
par: Brännvall, Rickard, et autres
Publié: (2023)

VORT: Adaptive Power-Law Memory for NLP Transformers
par: Mlaiki, Nabil
Publié: (2026)

DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
par: Li, Yangyang
Publié: (2025)

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
par: Pielok, Tobias, et autres
Publié: (2025)

Understanding and Tackling Over-Dilution in Graph Neural Networks
par: Lee, Junhyun, et autres
Publié: (2025)

Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
par: Alpay, Faruk, et autres
Publié: (2026)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
par: Agrawal, Vidhi, et autres
Publié: (2026)

Just In Time Transformers
par: Benali, Ahmed Ala Eddine, et autres
Publié: (2024)

KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF
par: Brown, Jason R, et autres
Publié: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
par: K, Prasanth K, et autres
Publié: (2025)

Neural Networks for Tamed Milstein Approximation of SDEs with Additive Symmetric Jump Noise Driven by a Poisson Random Measure
par: Ramirez-Gonzalez, Jose-Hermenegildo, et autres
Publié: (2025)

Revisiting Unbiased Implicit Variational Inference
par: Pielok, Tobias, et autres
Publié: (2025)

Gradient Descent as Implicit EM in Distance-Based Neural Models
par: Oursland, Alan
Publié: (2025)

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
par: Feng, Xuchen, et autres
Publié: (2025)

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
par: Tiwari, Dhruv
Publié: (2025)

Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
par: Friedmann, Benjy, et autres
Publié: (2026)

Using latent representations to link disjoint longitudinal data for mixed-effects regression
par: Schächter, Clemens, et autres
Publié: (2025)

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
par: Lai, Shanyan
Publié: (2025)

How Much Temporal Modeling is Enough? A Systematic Study of Hybrid CNN-RNN Architectures for Multi-Label ECG Classification
par: Jafari, Alireza, et autres
Publié: (2026)

Inhibitor Transformers and Gated RNNs for Torus Efficient Fully Homomorphic Encryption
par: Brännvall, Rickard, et autres
Publié: (2023)

An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
par: Vural, Orhun, et autres
Publié: (2025)

Optimizing Large Language Models for OpenAPI Code Completion
par: Petryshyn, Bohdan, et autres
Publié: (2024)

Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families
par: Shikhman, Lennon
Publié: (2026)

Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models
par: Sharma, Shubham, et autres
Publié: (2025)

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
par: Imanov, Olaf Yunus Laitinen
Publié: (2026)

Inference acceleration for large language models using "stairs" assisted greedy generation
par: Grigaliūnas, Domas, et autres
Publié: (2024)

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
par: Imanov, Olaf Yunus Laitinen, et autres
Publié: (2026)

Extracting Sentence Embeddings from Pretrained Transformer Models
par: Stankevičius, Lukas, et autres
Publié: (2024)

Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
par: Amin, M Ruhul
Publié: (2025)

DreamNet: A Multimodal Framework for Semantic and Emotional Analysis of Sleep Narratives
par: Panchagnula, Tapasvi
Publié: (2025)

Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
par: Landers, Jonathan R.
Publié: (2026)

Scaling Higher-Order Graph Learning with Maximal Clique Complexes
par: Vialle, Antoine, et autres
Publié: (2026)

Measuring Alignment-Induced Activation Shifts Correctly: A Template-Controlled Difference-in-Differences Protocol
par: Nakamura, Yuki
Publié: (2026)

Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3
par: Nitarach, Natapong
Publié: (2026)