:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fathi, Nima, Scholak, Torsten, Noël, Pierre-André
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2504.06416
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
by: Singh, Vaibhav, et al.
Published: (2025)

Destruction is a General Strategy to Learn Generation; Diffusion's Strength is to Take it Seriously; Exploration is the Future
by: Noël, Pierre-André
Published: (2026)

AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation
by: Fathi, Nima, et al.
Published: (2025)

Bidirectional Representations Augmented Autoregressive Biological Sequence Generation
by: Zhang, Xiang, et al.
Published: (2025)

On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
by: Yang, Chenxiao, et al.
Published: (2025)

FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation
by: Kiruluta, Andrew, et al.
Published: (2025)

Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
by: Skalski, Piotr, et al.
Published: (2024)

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
by: Zhao, Lingxiao, et al.
Published: (2024)

Parallelizing Autoregressive Generation with Variational State Space Models
by: Lambrechts, Gaspard, et al.
Published: (2024)

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
by: Aleksandrov, Preslav, et al.
Published: (2025)

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
by: Cundy, Chris, et al.
Published: (2023)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens
by: Fan, Lijie, et al.
Published: (2025)

Mol-CADiff: Causality-Aware Autoregressive Diffusion for Molecule Generation
by: Ahamed, Md Atik, et al.
Published: (2025)

TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2025)

K-Means Based TinyML Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)
by: Albaiz, Abdulrahman, et al.
Published: (2026)

Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs Using Power Side-Channel Data
by: Albaiz, Abdulrahman, et al.
Published: (2026)

FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing
by: Sainsbury, Chris, et al.
Published: (2026)

Autoregressive Action Sequence Learning for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)

SEGB: Self-Evolved Generative Bidding with Local Autoregressive Diffusion
by: Gao, Yulong, et al.
Published: (2025)

Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
by: Shpilevskiy, Frederick, et al.
Published: (2025)

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models
by: Meintz, Michel, et al.
Published: (2025)

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation
by: Cheng, Dongjie, et al.
Published: (2026)

Watermarking Autoregressive Image Generation
by: Jovanović, Nikola, et al.
Published: (2025)

Unified Cross-Scale 3D Generation and Understanding via Autoregressive Modeling
by: Lu, Shuqi, et al.
Published: (2025)

A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
by: Lee, Junghyun, et al.
Published: (2024)

Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion
by: Ma, Linrui, et al.
Published: (2026)

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training
by: Ostapenko, Oleksiy, et al.
Published: (2025)

Discriminator Guidance for Autoregressive Diffusion Models
by: Kelvinius, Filip Ekström, et al.
Published: (2023)

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
by: Chen, Junhao, et al.
Published: (2025)

ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction
by: Chung, Hyungjin, et al.
Published: (2024)

AGDC: Autoregressive Generation of Variable-Length Sequences with Joint Discrete and Continuous Spaces
by: Shin, Yeonsang, et al.
Published: (2026)

Scalable Sample-Level Causal Discovery in Event Sequences via Autoregressive Density Estimation
by: Math, Hugo, et al.
Published: (2026)

Decentralized Autoregressive Generation
by: Maschan, Stepan, et al.
Published: (2026)

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

MUDiff: Unified Diffusion for Complete Molecule Generation
by: Hua, Chenqing, et al.
Published: (2023)

GUD: Generation with Unified Diffusion
by: Gerdes, Mathis, et al.
Published: (2024)

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
by: Tumma, Neehal, et al.
Published: (2026)

Perplexed: Understanding When Large Language Models are Confused
by: Cooper, Nathan, et al.
Published: (2024)

DEER: Draft with Diffusion, Verify with Autoregressive Models
by: Cheng, Zicong, et al.
Published: (2025)

JetFormer: An Autoregressive Generative Model of Raw Images and Text
by: Tschannen, Michael, et al.
Published: (2024)