:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Kruthoff, Jorrit
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2401.07993
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Semi-classical dilaton gravity and the very blunt defect expansion
di: Kruthoff, Jorrit, et al.
Pubblicazione: (2024)

SUS backprop: linear backpropagation algorithm for long inputs in transformers
di: Pankov, Sergey, et al.
Pubblicazione: (2025)

Learning Human-Humanoid Coordination for Collaborative Object Carrying
di: Du, Yushi, et al.
Pubblicazione: (2025)

Lower bounds on transformers with infinite precision
di: Kozachinskiy, Alexander
Pubblicazione: (2024)

Small transformer architectures for task switching
di: Gros, Claudius
Pubblicazione: (2025)

A completely uniform transformer for parity
di: Kozachinskiy, Alexander, et al.
Pubblicazione: (2025)

GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable
di: Wangni, Jianqiao
Pubblicazione: (2025)

Step-resolved data attribution for looped transformers
di: Kaissis, Georgios, et al.
Pubblicazione: (2026)

Weight-sparse transformers have interpretable circuits
di: Gao, Leo, et al.
Pubblicazione: (2025)

Which algorithm to select in sports timetabling?
di: Van Bulck, David, et al.
Pubblicazione: (2023)

Transformers converge to invariant algorithmic cores
di: Schiffman, Joshua S.
Pubblicazione: (2026)

Uncovering mesa-optimization algorithms in Transformers
di: von Oswald, Johannes, et al.
Pubblicazione: (2023)

Learning the greatest common divisor: explaining transformer predictions
di: Charton, François
Pubblicazione: (2023)

The GECo algorithm for Graph Neural Networks Explanation
di: Calderaro, Salvatore, et al.
Pubblicazione: (2024)

Solving the encoding bottleneck: of the HHL algorithm, by the HHL algorithm
di: He, Guang Ping
Pubblicazione: (2025)

Bellman operator convergence enhancements in reinforcement learning algorithms
di: Kadurha, David Krame, et al.
Pubblicazione: (2025)

Static and multivariate-temporal attentive fusion transformer for readmission risk prediction
di: Sun, Zhe, et al.
Pubblicazione: (2024)

Don't be lazy: CompleteP enables compute-efficient deep transformers
di: Dey, Nolan, et al.
Pubblicazione: (2025)

Financial time series augmentation using transformer based GAN architecture
di: Podobiński, Andrzej, et al.
Pubblicazione: (2026)

Multiple kernel concept factorization algorithm based on global fusion
di: Li, Fei, et al.
Pubblicazione: (2024)

Generalizing soft actor-critic algorithms to discrete action spaces
di: Zhang, Le, et al.
Pubblicazione: (2024)

FRRI: a novel algorithm for fuzzy-rough rule induction
di: Bollaert, Henri, et al.
Pubblicazione: (2024)

Understanding the performance gap between online and offline alignment algorithms
di: Tang, Yunhao, et al.
Pubblicazione: (2024)

Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
di: Irwin, Christopher, et al.
Pubblicazione: (2024)

$σ$-PCA: a building block for neural learning of identifiable linear transformations
di: Kanavati, Fahdi, et al.
Pubblicazione: (2023)

Decomposition-based multi-scale transformer framework for time series anomaly detection
di: Zhang, Wenxin, et al.
Pubblicazione: (2025)

An information theoretic approach to quantify the stability of feature selection and ranking algorithms
di: Alaiz-Rodriguez, et al.
Pubblicazione: (2024)

Near-optimal algorithms for private estimation and sequential testing of collision probability
di: Busa-Fekete, Robert, et al.
Pubblicazione: (2025)

An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
di: Alam, Md Ferdous, et al.
Pubblicazione: (2023)

Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
di: Yang, Zhangfan, et al.
Pubblicazione: (2024)

Pretrained battery transformer (PBT): A foundation model for universal battery life prediction
di: Tan, Ruifeng, et al.
Pubblicazione: (2025)

Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
di: Andronov, Mikhail, et al.
Pubblicazione: (2025)

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
di: Renard, Titouan, et al.
Pubblicazione: (2024)

Novel GPU Boruta algorithms for feature selection from high-dimensional data
di: Li, Xurui, et al.
Pubblicazione: (2026)

Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs
di: Zhao, Kang, et al.
Pubblicazione: (2024)

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
di: Moen, Hans, et al.
Pubblicazione: (2024)

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
di: Ramachandranpillai, Resmi, et al.
Pubblicazione: (2024)

An explainable transformer circuit for compositional generalization
di: Tang, Cheng, et al.
Pubblicazione: (2025)

reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use
di: Ghosh, Susobhan, et al.
Pubblicazione: (2024)

Pilot selection in the era of Virtual reality: algorithms for accurate and interpretable machine learning models
di: Ke, Luoma, et al.
Pubblicazione: (2025)