Cover Image

Blockbuster, Part 1: Block-level AI Operator Fusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Dekel, Ofer
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
by: Liu, Lei, et al.
Published: (2025)

Brain-like Variational Inference
by: Vafaii, Hadi, et al.
Published: (2024)

Poisson Variational Autoencoder
by: Vafaii, Hadi, et al.
Published: (2024)

Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
by: Kazoom, Roie, et al.
Published: (2025)

Boundary on the Table: Efficient Black-Box Decision-Based Attacks for Structured Data
by: Kazoom, Roie, et al.
Published: (2025)

DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
by: Shing, Makoto, et al.
Published: (2025)

VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI
by: Kazoom, Roie, et al.
Published: (2025)

Block-Based Double Decoders
by: Labovich, Asher, et al.
Published: (2026)

AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size
by: Lu, Guanxi, et al.
Published: (2025)

BuilderBench: The Building Blocks of Intelligent Agents
by: Ghugare, Raj, et al.
Published: (2025)

Evaluating Game Difficulty in Tetris Block Puzzle
by: Wang, Chun-Jui, et al.
Published: (2026)

Recurrent Stochastic Configuration Networks with Incremental Blocks
by: Dang, Gang, et al.
Published: (2024)

Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
by: Sánchez-Mompó, Adrián, et al.
Published: (2025)

Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
by: van Tegelen, Eva, et al.
Published: (2026)

Deep Manifold Part 1: Anatomy of Neural Network Manifold
by: Ma, Max Y., et al.
Published: (2024)

Block-Biased Mamba for Long-Range Sequence Processing
by: Yu, Annan, et al.
Published: (2025)

Enhancing Adversarial Transferability through Block Stretch and Shrink
by: Liu, Quan, et al.
Published: (2025)

An Efficient Training Algorithm for Models with Block-wise Sparsity
by: Zhu, Ding, et al.
Published: (2025)

Pushing the Limits of Block Rotations in Post-Training Quantization
by: Sanjeet, Sai, et al.
Published: (2026)

Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
by: Lee, Seunghan, et al.
Published: (2026)

Efficient Large Language Model Inference with Neural Block Linearization
by: Erdogan, Mete, et al.
Published: (2025)

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
by: Arriola, Marianne, et al.
Published: (2025)

FOAM: Blocked State Folding for Memory-Efficient LLM Training
by: Wen, Ziqing, et al.
Published: (2025)

Joint Encoding of KV-Cache Blocks for Scalable LLM Serving
by: Kampeas, Joseph, et al.
Published: (2026)

RT-Transformer: The Transformer Block as a Spherical State Estimator
by: Racioppo, Peter
Published: (2026)

Sparsely Multimodal Data Fusion
by: Bjorgaard, Josiah
Published: (2024)

SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
by: Huang, Ting-Ji, et al.
Published: (2025)

FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors
by: Wang, Henan, et al.
Published: (2026)

Think in Blocks: Adaptive Reasoning from Direct Response to Deep Reasoning
by: Zhu, Yekun, et al.
Published: (2025)

Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
by: Da Costa, Lancelot, et al.
Published: (2025)

Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training
by: Liu, Zeyu, et al.
Published: (2025)

Graphlets as Building Blocks for Structural Vocabulary in Knowledge Graph Foundation Models
by: Amouzouvi, Kossi, et al.
Published: (2026)

Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devices
by: Lee, Hayun, et al.
Published: (2024)

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
by: Ding, Dexuan, et al.
Published: (2024)

Model Fusion via Neuron Transplantation
by: Öz, Muhammed, et al.
Published: (2025)

BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression
by: Meo, Cristian, et al.
Published: (2025)

Efficient State Space Model via Fast Tensor Convolution and Block Diagonalization
by: Liang, Tongyi, et al.
Published: (2024)

Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
by: Lee, Minho, et al.
Published: (2024)

Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis
by: Xu, Haowen, et al.
Published: (2024)

Gradient Based Method for the Fusion of Lattice Quantizers
by: Zhang, Liyuan, et al.
Published: (2025)