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https://en.wikipedia.org/wiki/Autoregressive_integrated_moving_average Autoregressive integrated moving average - Wikipedia moving average autoregressive integrated wikipedia https://online.stat.psu.edu/stat462/node/189/ 10.3 - Regression with Autoregressive Errors | STAT 462 10 3 regression autoregressive errors stat https://arxiv.org/abs/2507.04978v1 [2507.04978v1] Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for... Abstract page for arXiv paper 2507.04978v1: Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading ordinal regression 2507 parameterized diffusion optimization https://www.econstor.eu/handle/10419/92622 EconStor: Comparing tests of autoregressive versus moving average errors in regression models using... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. https://www.econstor.eu/handle/10419/61295 EconStor: Functional coefficient autoregressive models: Estimation and tests of hypotheses EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. autoregressive models econstor functional coefficient estimation https://github.com/GATECH-EIC/Linearized-LLM GitHub - GATECH-EIC/Linearized-LLM: [ICML 2024] When Linear Attention Meets Autoregressive... [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models -... icml 2024 https://openreview.net/forum?id=quNmcjG334&referrer=%5Bthe%20profile%20of%20Arthur%20Gretton%5D(%2Fprofile%3Fid%3D~Arthur_Gretton1) Modeling Molecular Sequences with Learning-Order Autoregressive Models | OpenReview Text-based autoregressive models (ARMs) are popular for SMILES (Simplified Molecular Input Line Entry System) string generation due to their simplicity and... autoregressive models modeling molecular sequences learning https://arxiv.org/abs/2508.19320 [2508.19320] MIDAS: Multimodal Interactive Digital-humAn Synthesis via Real-time Autoregressive... Abstract page for arXiv paper 2508.19320: MIDAS: Multimodal Interactive Digital-humAn Synthesis via Real-time Autoregressive Video Generation digital human https://www.econstor.eu/handle/10419/226817 EconStor: A simple instrument for proxy vector autoregressive analysis EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. econstor simple instrument proxy vector https://www.wolfram.com/mathematica/new-in-9/time-series-and-stochastic-differential-equations/perform-autoregressive-filtering.html Perform Autoregressive Filtering: New in Mathematica 9 new in perform autoregressive filtering mathematica https://aclanthology.org/P19-1288/ Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation - ACL Anthology Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou. Proceedings of the 57th Annual Meeting of the Association for Computational... neural machine translation information for retrieving sequential non https://arxiv.org/abs/2603.16871 [2603.16871] WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying... Abstract page for arXiv paper 2603.16871: WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation https://openreview.net/forum?id=wZsnZkviro Non-autoregressive Conditional Diffusion Models for Time Series Prediction | OpenReview Recently, denoising diffusion models have led to significant breakthroughs in the generation of images, audio and text. However, it is still an open question... time series prediction diffusion models non autoregressive conditional https://openreview.net/forum?id=LloZFVwWvj&referrer=%5Bthe%20profile%20of%20Chenze%20Shao%5D(%2Fprofile%3Fid%3D~Chenze_Shao1) Non-autoregressive Machine Translation with Probabilistic Context-free Grammar | OpenReview Non-autoregressive Transformer(NAT) significantly accelerates the inference of neural machine translation. However, conventional NAT models suffer from limited... context free grammar machine translation non autoregressive probabilistic https://aclanthology.org/2023.findings-acl.760/ Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models - ACL Anthology Hang Cao, Zhiquan Cao, Chi Hu, Baoyu Hou, Tong Xiao, Jingbo Zhu. Findings of the Association for Computational Linguistics: ACL 2023. 2023. grammatical error correction improving autoregressive non models https://openreview.net/forum?id=x4Kk4FxLs3 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation | OpenReview Graph generation has been dominated by autoregressive models due to their simplicity and effectiveness, despite their sensitivity to ordering. Yet diffusion... pard permutation invariant autoregressive diffusion https://arxiv.org/abs/2601.09212 [2601.09212] Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation Abstract page for arXiv paper 2601.09212: Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation speculative decoding https://openreview.net/forum?id=2fsVKyHxca Same Graph, Different Likelihoods: Calibration of Autoregressive Graph Generators via... Autoregressive graph generators define likelihoods via a sequential construction process, but these likelihoods are only meaningful if they are consistent... graph different likelihoods calibration autoregressive https://deepai.org/publication/pose-transformers-potr-human-motion-prediction-with-non-autoregressive-transformers Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers | DeepAI Sep 15, 2021 - 09/15/21 - We propose to leverage Transformer architectures for non-autoregressive human motion prediction. Our approach decodes elements in ... human motion pose transformers potr prediction https://arxiv.org/abs/2603.10188 [2603.10188] ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation Abstract page for arXiv paper 2603.10188: ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation 2603 10188 arche autoregressive residual https://www.nasdaq.com/glossary/a/autoregressive Autoregressive Definition | Nasdaq autoregressive definition nasdaq https://ideas.repec.org/p/bro/econwp/2000-20.html Structural Changes in the Cointegrated Vector Autoregressive Model Downloadable! No abstract is available for this item. in the structural changes vector autoregressive https://www.mathworks.com/matlabcentral/answers/705958-how-to-remove-an-autoregressive-disturbance-of-known-parameters How to remove an autoregressive disturbance of known parameters - MATLAB Answers - MATLAB Central How to remove an autoregressive disturbance of... Learn more about autoregressive model, system identification how to remove https://arxiv.org/abs/2510.05613 [2510.05613] PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail... Abstract page for arXiv paper 2510.05613: PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction https://arxiv.org/abs/2507.08801 [2507.08801] Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified... Abstract page for arXiv paper 2507.08801: Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective https://openreview.net/forum?id=gzRBs4gIbz&referrer=%5Bthe%20profile%20of%20Chenze%20Shao%5D(%2Fprofile%3Fid%3D~Chenze_Shao1) Non-autoregressive Streaming Transformer for Simultaneous Translation | OpenReview Simultaneous machine translation (SiMT) models are trained to strike a balance between latency and translation quality. However, training these models to... simultaneous translation non autoregressive streaming transformer https://www.amazon.science/publications/very-low-complexity-speech-synthesis-using-framewise-autoregressive-gan-fargan-with-pitch-prediction Very low complexity speech synthesis using framewise autoregressive GAN (FARGAN) with pitch... Neural vocoders are now being used in a wide range of speech processing applications. In many of those applications, the vocoder can be the most complex... speech synthesis https://ideas.repec.org/p/fth/cemfdt/9706.html Autoregressive Models with Sample Selectivity for Panel Data The purpose of this paper is to formulate procedures for the analysis of the time series behaviour of micro panel data subject to censoring. We assume an... autoregressive models sample selectivity panel data https://arxiv.org/abs/2412.02202 [2412.02202] 3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D... Abstract page for arXiv paper 2412.02202: 3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation https://openreview.net/forum?id=LSz-gQyd0zE Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation | OpenReview We introduce a fuzzy alignment objective in Directed Acyclic Graph for NAT, setting a new state of the art for NAT on the raw training data. directed acyclic graph https://arxiv.org/abs/2602.01017 [2602.01017] How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of... Abstract page for arXiv paper 2602.01017: How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments https://deepai.org/publication/gl-gin-fast-and-accurate-non-autoregressive-model-for-joint-multiple-intent-detection-and-slot-filling GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot... Jun 3, 2021 - 06/03/21 - Multi-intent SLU can handle multiple intents in an utterance, which has attracted increasing attention. However, the state-of-the-... https://aclanthology.org/2026.eacl-demo.15/ PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models - ACL... Robert Belanec, Ivan Srba, Maria Bielikova. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume... https://ideas.repec.org/p/ces/ceswps/_990.html Small Sample Properties of Forecasts from Autoregressive Models under Structural Breaks Downloadable! Autoregressive models are used routinely in forecasting and often lead to better performance than more complicated models. However, empirical... autoregressive models small sample properties forecasts https://openreview.net/forum?id=Zh4kJ4JOcHo Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive... Knowledge distillation (KD) is the preliminary step for training non-autoregressive translation (NAT) models, which eases the training of NAT models at the... https://ideas.repec.org/a/eee/econom/v86y1998i2p369-386.html Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov... Downloadable (with restrictions)! No abstract is available for this item. maximum likelihood estimator https://deepai.org/publication/bayesian-volumetric-autoregressive-generative-models-for-better-semisupervised-learning Bayesian Volumetric Autoregressive generative models for better semisupervised learning | DeepAI Jul 26, 2019 - 07/26/19 - Deep generative models are rapidly gaining traction in medical imaging. Nonetheless, most generative architectures struggle to cap... generative models semisupervised learning bayesian volumetric autoregressive https://openreview.net/forum?id=magOSIm8UT Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities |... We investigate the fundamental limits of transformer-based foundation models, extending our analysis to include Visual Autoregressive (VAR) transformers. VAR... fundamental limits visual autoregressive transformers https://openreview.net/forum?id=Skrk3StS2g Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows |... Training normalizing flow generative models can be challenging due to the need to calculate computationally expensive determinants of Jacobians. This paper... free training semi autoregressive energy flows https://arxiv.org/abs/2504.02817 [2504.02817] Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization Abstract page for arXiv paper 2504.02817: Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization 2504 02817 efficient autoregressive shape https://www.scirp.org/journal/paperinformation?paperid=671 Sleep spindles detection from human sleep EEG signals using autoregressive (AR) model: a surrogate... A new algorithm for the detection of sleep spindles from human sleep EEG with surrogate data approach is presented. Surrogate data ap-proach is the state of... https://aclanthology.org/2024.findings-acl.543/ CTC-based Non-autoregressive Textless Speech-to-Speech Translation - ACL Anthology Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng. Findings of the Association for Computational Linguistics: ACL 2024. 2024. ctc based non autoregressive textless https://deepai.org/publication/loopdraw-a-loop-based-autoregressive-model-for-shape-synthesis-and-editing LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing | DeepAI Dec 9, 2022 - 12/09/22 - There is no settled universal 3D representation for geometry with many alternatives such as point clouds, meshes, implicit functio... a loop autoregressive model https://www.mathworks.com/matlabcentral/answers/44641-autoregressive-model-using-yule-walker-method Autoregressive model using Yule-Walker method - MATLAB Answers - MATLAB Central Autoregressive model using Yule-Walker method. Learn more about levinson-durbin, yule-walker, aryule, autoregressive autoregressive model using yule walker method https://nextstep-1.com/ NextStep-1: AI Autoregressive Image Generation NextStep-1 is a 14B autoregressive model paired with a 157M flow matching head for text-to-image generation using continuous tokens. Achieve state-of-the-art... 1 ai nextstep autoregressive image generation https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1920561 Bruggemann, R. (2004) Model Reduction Methods for Vector Autoregressive Processes. Springer-Verlag,... Bruggemann, R. (2004) Model Reduction Methods for Vector Autoregressive Processes. Springer-Verlag, Berlin Heidelberg. https://openreview.net/forum?id=JE9tCwe3lp&referrer=%5Bthe%20profile%20of%20Ting%20Pan%5D(%2Fprofile%3Fid%3D~Ting_Pan1) Autoregressive Video Generation without Vector Quantization | OpenReview This paper presents a novel approach that enables autoregressive video generation with high efficiency. We propose to reformulate the video generation problem... video generation vector quantization autoregressive without openreview https://arxiv.org/abs/2506.21539 [2506.21539] WorldVLA: Towards Autoregressive Action World Model Abstract page for arXiv paper 2506.21539: WorldVLA: Towards Autoregressive Action World Model action world 2506 21539 towards autoregressive https://ideas.repec.org/p/cwl/cwldpp/1224.html Estimation of Autoregressive Roots Near Unity Using Panel Data Downloadable! Time series data are often well modelled by using the device of an autoregressive root that is local to unity. Unfortunately, the localizing... estimation autoregressive roots near unity https://jmlr.org/papers/v24/22-0845.html Autoregressive Networks autoregressive networks https://www.iza.org/en/publications/dp/14862/ethnic-regional-networks-and-immigrants-earnings-a-spatial-autoregressive-network-approach Ethnic Regional Networks and Immigrants' Earnings: A Spatial Autoregressive Network Approach |... The conventional model of immigrant earnings does not account for the correlation of outcomes across immigrant ethnic networks. We apply a spatial aut... regional networks ethnic immigrants https://www.iza.org/de/publications/dp/14862/ethnic-regional-networks-and-immigrants-earnings-a-spatial-autoregressive-network-approach Ethnic Regional Networks and Immigrants' Earnings: A Spatial Autoregressive Network Approach |... The conventional model of immigrant earnings does not account for the correlation of outcomes across immigrant ethnic networks. We apply a spatial aut... regional networks ethnic immigrants https://ideas.repec.org/a/spr/alstar/v90y2006i1p75-88.html Structural vector autoregressive analysis for cointegrated variables Downloadable (with restrictions)! Vector autoregressive (VAR) models are capable of capturing the dynamic structure of many time series variables. Impulse... structural vector autoregressive analysis variables https://openreview.net/forum?id=C03Ajc-NS5W An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch | OpenReview We consider the problem of generating 3D molecular geometries from scratch. While multiple methods have been developed for generating molecular graphs,... https://arxiv.org/html/2603.09488 Streaming Autoregressive Video Generation via Diagonal Distillation video generation streaming autoregressive via diagonal https://www.cqvip.com/doc/journal/00854JP1MNC08JVW6HCO2JP1MPDO8?sign=6e4832c09599ce2a4f351db4260c4f74e94f5f990c8a11b51671203976af28c3&expireTime=1791926679821&resourceId=00854JP1MNC08JVW6HCO2JP1MPDO8&type=1 A dual-stage autoregressive integrated moving average model for power grid integrated wind power... This paper proposes a robust hybrid forecasting framework for short-term renewable generation in distribution networks with high wind and solar penetration.... moving average model https://www.econstor.eu/handle/10419/236809 EconStor: A Bayesian analysis of complete multiple breaks in a panel autoregressive (CMB-PAR(1))... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. https://magi-ai.org/ MAGI-1: Autoregressive Video Generation at Scale Meet MAGI-1, the groundbreaking open-source video generation model from Sand.ai. Leveraging diffusion and autoregression, MAGI-1 delivers exceptional quality,... video generation magi 1 autoregressive scale https://sites.google.com/site/dimitriskorobilis/matlab/panel_var_restrictions Dimitris Korobilis - Model Uncertainty in Panel Vector Autoregressive Models This code replicates the results in the paper Koop, G. and Korobilis, D. (2016). Model Uncertainty in Panel Vector Autoregressive Models, European Economic... dimitris model uncertainty panel vector https://openreview.net/forum?id=mJYllFw85A Transformer Neural Autoregressive Flows | OpenReview Density estimation, a central problem in machine learning, can be performed using Normalizing Flows (NFs). NFs comprise a sequence of invertible... transformer neural autoregressive flows openreview https://github.com/kakaobrain/rq-vae-transformer GitHub - kakaobrain/rq-vae-transformer: The official implementation of Autoregressive Image... The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22) - kakaobrain/rq-vae-transformer the official github rq vae transformer https://openreview.net/forum?id=Ny8NiVfi95&referrer=%5Bthe%20profile%20of%20Alon%20Ziv%5D(%2Fprofile%3Fid%3D~Alon_Ziv1) Masked Audio Generation using a Single Non-Autoregressive Transformer | OpenReview We introduce MAGNeT, a masked generative sequence modeling method that operates directly over several streams of audio tokens. Unlike prior work, MAGNeT is... audio generation masked using single non https://openreview.net/forum?id=S09B5wNa6J ZipAR: Parallel Autoregressive Image Generation through Spatial Locality | OpenReview In this paper, we propose ZipAR, a training-free, plug-and-play parallel decoding framework for accelerating autoregressive (AR) visual generation. The... image generation spatial locality parallel autoregressive openreview https://www.econstor.eu/handle/10419/230326 EconStor: Modeling Azerbaijan's inflation and output using a factor-augmented vector autoregressive... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. https://openreview.net/forum?id=7mFSaP6IiN When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient... Autoregressive Large Language Models (LLMs) have achieved impressive performance in language tasks but face two significant bottlenecks: (1) quadratic... more effective linear attention meets autoregressive https://openreview.net/forum?id=Hyo9zDuIz&referrer=%5Bthe%20profile%20of%20Stefan%20Winkler%5D(%2Fprofile%3Fid%3D~Stefan_Winkler1) Autoregressive Generative Adversarial Networks | OpenReview Generative Adversarial Networks (GANs) learn a generative model by playing an adversarial game between a generator and an auxiliary discriminator, which... adversarial networks autoregressive generative openreview https://aclanthology.org/2023.emnlp-main.156/ NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders - ACL Anthology Livio Baldini Soares, Daniel Gillick, Jeremy R. Cole, Tom Kwiatkowski. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.... nail lexical retrieval indices https://magivideogen.github.io/ Taming Teacher Forcing for Masked Autoregressive Video Generation teacher forcing taming masked autoregressive video https://slides.com/hugohadfield/joint-autoregressive-and-hierarchical-priors-forlearned-image-compression/fullscreen Joint Autoregressive and Hierarchical Priors for Learned Image Compression This presentation is a summary of a paper on deep learning for Image Compression. For more technical content check out my website http://hh409.user.srcf.net joint autoregressive hierarchical priors learned https://respace.mnbucher.com/ ReSpace: Text-Driven Autoregressive 3D Indoor Scene Synthesis and Editing text driven autoregressive 3d indoor https://www.bankofcanada.ca/2024/03/staff-working-paper-2024-10/ Forecasting Recessions in Canada: An Autoregressive Probit Model Approach - Bank of Canada We forecast recessions in Canada using an autoregressive (AR) probit model. The results highlight the short-term predictive power of the US economic activity... in canada probit model forecasting recessions https://nextstep1.org/ NextStep-1: AI Autoregressive Image Generation Discover NextStep-1, a groundbreaking 14B autoregressive model that generates high-fidelity images using continuous tokens. Explore state-of-the-art... 1 ai nextstep autoregressive image generation https://openreview.net/forum?id=YsTotIsCys Implementing Adaptations for Vision AutoRegressive Model | OpenReview Vision AutoRegressive model (VAR) was recently introduced as an alternative to Diffusion Models (DMs) in image generation domain. In this work we focus on its... autoregressive model implementing adaptations vision openreview https://github.com/eleutherai/gpt-neox GitHub - EleutherAI/gpt-neox: An implementation of model parallel autoregressive transformers on... An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries - EleutherAI/gpt-neox an implementation https://openreview.net/forum?id=VMU-hMsonit Training and Inference on Any-Order Autoregressive Models the Right Way | OpenReview We improve Any-Order Autoregressive Models by selecting univariate conditionals in a clever way during training and inference. the right way https://arxiv.org/abs/2508.01119 [2508.01119] The Promise of RL for Autoregressive Image Editing Abstract page for arXiv paper 2508.01119: The Promise of RL for Autoregressive Image Editing the promise 2508 01119 rl autoregressive https://openreview.net/forum?id=MO1OLAKcsJ Seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models | OpenReview Joint-embedding predictive architecture (JEPA) is a self-supervised learning (SSL) paradigm with the capacity of world modeling via action-conditioned... predictive learning world models seq jepa autoregressive https://aclanthology.org/2025.naacl-long.591/ Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech - ACL... Eric Battenberg, RJ Skerry-Ryan, Daisy Stanton, Soroosh Mariooryad, Matt Shannon, Julian Salazar, David Teh-Hwa Kao. Proceedings of the 2025 Conference of the... https://www.scirp.org/journal/paperinformation?paperid=83939 Stability of a Non-Linear Exponential Autoregressive Model In this paper, a non-linear exponential autoregressive model has been studied by applying the local linearization technique. The obtained results have been... non linear stability exponential autoregressive model https://arxiv.org/abs/2506.08009v1 [2506.08009v1] Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Abstract page for arXiv paper 2506.08009v1: Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion https://huggingface.co/papers/2105.00211 Paper page - Autoregressive Hidden Markov Models with partial knowledge on latent space applied to... Join the discussion on this paper page https://openreview.net/forum?id=TK_6nNb_C7q Hierarchical Autoregressive Modeling for Neural Video Compression | OpenReview Recent work by Marino et al. (2020) showed improved performance in sequential density estimation by combining masked autoregressive flows with hierarchical... autoregressive modeling video compression hierarchical neural openreview https://sites.research.google/parti/ Parti: Pathways Autoregressive Text-to-Image Model text to image parti pathways autoregressive model https://arxiv.org/abs/2603.06302 [2603.06302] DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models Abstract page for arXiv paper 2603.06302: DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models https://openreview.net/forum?id=E3HN48zjam Autoregressive fragment-based diffusion for pocket-aware ligand design | OpenReview In this work, we introduce AutoFragDiff, a fragment-based autoregressive diffusion model for generating 3D molecular structures conditioned on target protein... ligand design autoregressive fragment based diffusion https://deepai.org/publication/armp-autoregressive-motion-planning-for-quadruped-locomotion-and-navigation-in-complex-indoor-environments ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor... Mar 28, 2023 - 03/28/23 - Generating natural and physically feasible motions for legged robots has been a challenging problem due to its complex dynamics. I... motion planning quadruped locomotion https://www.minneapolisfed.org/research/staff-reports/the-maximum-likelihood-estimation-of-parameters-in-mixed-autoregressive-movingaverage-multivariate-models The Maximum Likelihood Estimation of Parameters in Mixed Autoregressive Moving-Average Multivariate... maximum likelihood estimation autoregressive moving average https://openreview.net/forum?id=-1AAgrS5FF ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis |... Autoregressive models and their sequential factorization of the data likelihood have recently demonstrated great potential for image representation and... bidirectional context multinomial diffusion autoregressive https://www.easychair.org/publications/keyword/tQTG Keyword: Threshold Autoregressive Model keyword threshold autoregressive model https://arxiv.org/abs/2510.05040v1 [2510.05040v1] Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts Abstract page for arXiv paper 2510.05040v1: Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts https://www.nber.org/papers/w10220 Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach... Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings... https://openreview.net/forum?id=D5mJSNtUtv Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression | OpenReview Learned lossless data compression has garnered significant attention recently due to its superior compression ratios compared to traditional compressors.... finite state entropy coding lossless compression autoregressive https://slides.com/hugohadfield/joint-autoregressive-and-hierarchical-priors-forlearned-image-compression Joint Autoregressive and Hierarchical Priors for Learned Image Compression This presentation is a summary of a paper on deep learning for Image Compression. For more technical content check out my website http://hh409.user.srcf.net joint autoregressive hierarchical priors learned https://www.scirp.org/reference/ReferencesPapers?ReferenceID=2145160 Johansen, S. (1996). Likelihood Based Inference in Cointegrated Vector Autoregressive Models.... Johansen, S. (1996). Likelihood Based Inference in Cointegrated Vector Autoregressive Models. Oxford Oxford University Press. johansen 1996 likelihood based https://openreview.net/forum?id=ZsuPbCxPnA&referrer=%5Bthe%20profile%20of%20Yu%20Zhang%5D(%2Fprofile%3Fid%3D~Yu_Zhang36) Non-autoregressive Text Editing with Copy-aware Latent Alignments | OpenReview Recent work has witnessed a paradigm shift from Seq2Seq to Seq2Edit in the field of text editing, with the aim of addressing the slow autoregressive inference... text editing non autoregressive copy aware https://openreview.net/forum?id=Ubc74gTVo3 Self-supervision through Random Segments with Autoregressive Coding (RandSAC) | OpenReview Inspired by the success of self-supervised autoregressive representation learning in natural language (GPT and its variants), and advances in recent visual... self supervision random segments autoregressive https://openreview.net/forum?id=P9yrqWaunl&referrer=%5Bthe%20profile%20of%20Zhixin%20Zhou%5D(%2Fprofile%3Fid%3D~Zhixin_Zhou1) Deinterleaving of Pulse Streams With Conditional Autoregressive Kernel Mixture Network | OpenReview Deinterleaving emitters with complex patterns presents a significant challenge for electronic support measure systems. In this article, we address this issue... pulse streams https://ojp.gov/ncjrs/virtual-library/abstracts/stationarity-and-invertibility-regions-low-order-starma-space-time STATIONARITY AND INVERTIBILITY REGIONS FOR LOW ORDER STARMA (SPACE TIME AUTOREGRESSIVE MOVING... https://ideas.repec.org/p/kud/kuiedp/0727.html Likelihood Inference for a Nonstationary Fractional Autoregressive Model Downloadable! This paper discusses model based inference in an autoregressive model for fractional processes based on the Gaussian likelihood. The model allows... for a likelihood inference fractional autoregressive https://deepai.org/publication/learned-lossless-image-compression-with-combined-autoregressive-models-and-attention-modules Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules |... Aug 30, 2022 - 08/30/22 - Lossless image compression is an essential research field in image compression. Recently, learning-based image compression methods... lossless image compression autoregressive models learned