S$^3$: Structured Sparsity Specification
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Ghriss, Ayoub |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
par: Guo, Dongxin, et autres
Publié: (2026)
par: Guo, Dongxin, et autres
Publié: (2026)
XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference
par: Witt, Thomas
Publié: (2026)
par: Witt, Thomas
Publié: (2026)
Understanding and Tackling Over-Dilution in Graph Neural Networks
par: Lee, Junhyun, et autres
Publié: (2025)
par: Lee, Junhyun, et autres
Publié: (2025)
Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
par: Friedmann, Benjy, et autres
Publié: (2026)
par: Friedmann, Benjy, et autres
Publié: (2026)
Optimizing Large Language Models for OpenAPI Code Completion
par: Petryshyn, Bohdan, et autres
Publié: (2024)
par: Petryshyn, Bohdan, et autres
Publié: (2024)
Sprecher Networks: A Parameter-Efficient Kolmogorov-Arnold Architecture
par: Hägg, Christian, et autres
Publié: (2025)
par: Hägg, Christian, et autres
Publié: (2025)
Attention-based graph neural networks: a survey
par: Sun, Chengcheng, et autres
Publié: (2026)
par: Sun, Chengcheng, et autres
Publié: (2026)
Scaling Higher-Order Graph Learning with Maximal Clique Complexes
par: Vialle, Antoine, et autres
Publié: (2026)
par: Vialle, Antoine, et autres
Publié: (2026)
Using latent representations to link disjoint longitudinal data for mixed-effects regression
par: Schächter, Clemens, et autres
Publié: (2025)
par: Schächter, Clemens, et autres
Publié: (2025)
JacNet: Learning Functions with Structured Jacobians
par: Lorraine, Jonathan, et autres
Publié: (2024)
par: Lorraine, Jonathan, et autres
Publié: (2024)
The E$Δ$-MHC-Geo Transformer: Adaptive Geodesic Operations with Guaranteed Orthogonality
par: Shahmansoori, Arash
Publié: (2026)
par: Shahmansoori, Arash
Publié: (2026)
Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
par: Murray, Michael, et autres
Publié: (2025)
par: Murray, Michael, et autres
Publié: (2025)
Momentum Attention: The Physics of In-Context Learning and Spectral Forensics for Mechanistic Interpretability
par: Maitra, Kingsuk
Publié: (2026)
par: Maitra, Kingsuk
Publié: (2026)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
par: Yamchote, Phaphontee, et autres
Publié: (2025)
par: Yamchote, Phaphontee, et autres
Publié: (2025)
Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations
par: Kharyuk, Pavel, et autres
Publié: (2025)
par: Kharyuk, Pavel, et autres
Publié: (2025)
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
par: Uddin, Md Joshem, et autres
Publié: (2024)
par: Uddin, Md Joshem, et autres
Publié: (2024)
Memory-Efficient Training with In-Place FFT Implementation
par: Ding, Xinyu, et autres
Publié: (2025)
par: Ding, Xinyu, et autres
Publié: (2025)
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
par: K, Prasanth K, et autres
Publié: (2025)
par: K, Prasanth K, et autres
Publié: (2025)
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
par: Filus, Katarzyna, et autres
Publié: (2026)
par: Filus, Katarzyna, et autres
Publié: (2026)
DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
par: Li, Yangyang
Publié: (2025)
par: Li, Yangyang
Publié: (2025)
DISC: Dynamic Decomposition Improves LLM Inference Scaling
par: Light, Jonathan, et autres
Publié: (2025)
par: Light, Jonathan, et autres
Publié: (2025)
Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
par: Nayak, Nikhil, et autres
Publié: (2026)
par: Nayak, Nikhil, et autres
Publié: (2026)
Scattered Forest Search: Smarter Code Space Exploration with LLMs
par: Light, Jonathan, et autres
Publié: (2024)
par: Light, Jonathan, et autres
Publié: (2024)
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
par: Wan, Shu, et autres
Publié: (2026)
par: Wan, Shu, et autres
Publié: (2026)
When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
par: Guo, Dongxin, et autres
Publié: (2026)
par: Guo, Dongxin, et autres
Publié: (2026)
Persistent Topological Structures and Cohomological Flows as a Mathematical Framework for Brain-Inspired Representation Learning
par: Girish, Preksha, et autres
Publié: (2025)
par: Girish, Preksha, et autres
Publié: (2025)
Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
par: Haseeb, Muhammad
Publié: (2025)
par: Haseeb, Muhammad
Publié: (2025)
A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification
par: Cao, Zhixuan, et autres
Publié: (2026)
par: Cao, Zhixuan, et autres
Publié: (2026)
Generative AI and the Transformation of Software Development Practices
par: Acharya, Vivek
Publié: (2025)
par: Acharya, Vivek
Publié: (2025)
KAN vs LSTM Performance in Time Series Forecasting
par: Rather, Tabish Ali, et autres
Publié: (2025)
par: Rather, Tabish Ali, et autres
Publié: (2025)
Graph Learning
par: Xia, Feng, et autres
Publié: (2025)
par: Xia, Feng, et autres
Publié: (2025)
GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
par: Fanale, Raimondo
Publié: (2026)
par: Fanale, Raimondo
Publié: (2026)
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
par: Tiwari, Dhruv
Publié: (2025)
par: Tiwari, Dhruv
Publié: (2025)
VORT: Adaptive Power-Law Memory for NLP Transformers
par: Mlaiki, Nabil
Publié: (2026)
par: Mlaiki, Nabil
Publié: (2026)
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
par: Amin, M Ruhul
Publié: (2025)
par: Amin, M Ruhul
Publié: (2025)
Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding
par: Vural, Orhun, et autres
Publié: (2025)
par: Vural, Orhun, et autres
Publié: (2025)
Subgroups of $U(d)$ Induce Natural RNN and Transformer Architectures
par: Nunley, Joshua
Publié: (2026)
par: Nunley, Joshua
Publié: (2026)
Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families
par: Shikhman, Lennon
Publié: (2026)
par: Shikhman, Lennon
Publié: (2026)
DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
par: Mysore, Naveen
Publié: (2026)
par: Mysore, Naveen
Publié: (2026)
Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
par: Alnemari, Mohammed, et autres
Publié: (2026)
par: Alnemari, Mohammed, et autres
Publié: (2026)
Documents similaires
-
SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
par: Guo, Dongxin, et autres
Publié: (2026) -
XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference
par: Witt, Thomas
Publié: (2026) -
Understanding and Tackling Over-Dilution in Graph Neural Networks
par: Lee, Junhyun, et autres
Publié: (2025) -
Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
par: Friedmann, Benjy, et autres
Publié: (2026) -
Optimizing Large Language Models for OpenAPI Code Completion
par: Petryshyn, Bohdan, et autres
Publié: (2024)