Sequence

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Period ending 2026-09-21

2 new papers

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86 papers

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Structure Across Voices: Comparing acoustic-event type accumulation and sequence dependence across four vocal repertoires using frozen audio encoders
Sep 15, 2026Mudit Sinha, Sanika ChavanVocalizations Acoustic Representation
Sequence Recognition in Bharatnatyam dance
Sep 14, 2026Himadri Bhuyan, Rohit Dhaipule, Partha Pratim DasAd Convolutional Neural Networks
Axonal delay dispersion decides whether a neuron detects an event or a sequence, and predicts cortical column diameter
Sep 3, 2026Cheng Bi, Jipeng SunSynaptic Plasticity Binary Spikes
SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign
Sep 3, 2026Jiarui Lu, Yuyang Wang, Yizhe Zhang +4Protein Design Sequence Modeling
Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores
Aug 31, 2026Qiyao Yan, Chenpeng Wang, Liangming PanLarge Language Model Reasoning Reasoning Benchmark
Generative Models Enhanced by Sequence Labelling and Aspect-Code Switching Improve Cross-lingual Aspect-Based Sentiment Analysis
Aug 31, 2026Jakub Šmíd, Pavel Přibáň, Pavel KrálCross-Lingual Consistency Code-Switching
OASIS: Optimizing Attacker Sequences for Hard-Label Black-Box Text Attacks
Aug 30, 2026Qian Chen, Shiliang Xiao, Yuzhi LiangAttacker-Chosen Wrong Answer Sequence
In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship
Aug 21, 2026Zifeng Liu, Yaxin Lu, Xuanhan Wu +6Model Weights Updates
Sequence prediction under a lying oracle
Aug 14, 2026Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan NairSharp Joint-Kl Oracle Theory Sequential Decision Making
HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models
Aug 10, 2026Isuru Herath, Arin Gopakumar, Sharan SahuMessage Passing Neural Networks Sequence Modeling
Beyond Sequence Order: Syntax-Informed Positional Embeddings for Transformers
Aug 6, 2026Haris Riaz, Hyungji Kim, Mihai SurdeanuPositional Encoding Transformer Architectures
DART: Decoded Attention over Recurrent States for Efficient Long-Context Sequence Modeling
Aug 3, 2026Yixiao Qian, Song Chen, Pengkai Wang +3Recurrent State Efficient Long-Context Inference
Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches
Jul 30, 2026Lennart Fertig, Lukas Kirchdorfer, Tobias SesterhennSequence Modeling Next Activity Prediction
Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras
Jul 29, 2026Katharina Bendig, René Schuster, Didier StrickerSequence Bio-Inspired Framework
Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity
Jul 23, 2026Hongnan Ma, Yiwei Shi, Mengyue Yang +1Counterfactual Explanation Time Series
Optimal Recalibration of an Online Predictor
Jul 22, 2026Lunjia Hu, Kevin Tian, Chutong YangRecalibration Multicalibration and Calibration
VAIOM: Continuous-Input, Discrete-Output Decoder-Only Financial Sequence Modeling
Jul 15, 2026Yiming Ma, Xinyu ChenStochastic Volatility Autoregressive Model
A Foundation Model for Multimodal Event Sequences in Financial Applications
Jul 10, 2026Nikita Rusakov, Vladislav Meshkov, Konstantin Zorin +4Multimodal Foundation Model Time Series Foundation Models
Variable-Length Generative Protein Design via Generalized Poisson Flow
Jul 10, 2026Chaoran Cheng, Zhanghan Ni, Yanru Qu +4Protein Design Generative Flow Networks
Scalable Maximal Frequent Episode Mining with Desbordante
Jul 3, 2026Maxim Ivanov, Matvei Smirnov, Alisa Strazdina +1Data Mining Profiling
A Spiking Sequence Generator for Polar Trajectories on Neuromorphic Hardware
Jul 2, 2026William R. P. Nourse, Roger D. QuinnNeuromorphic Hardware Neural Control
The risk of KV cache compression
Jul 1, 2026Lukas Haverbeck, Carmen Amo Alonso, Andres Felipe Posada-Moreno +2Key-Value Cache Compression Context Compression
An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks
Jul 1, 2026Zhipeng Zhang, Wenhui Shou, Wengting Ma +5Fundus Images Medical Imaging
CMSL: Constructive Multi-Sequence Learning for Recommendation Systems
Jun 26, 2026Zikun Cui, Renzhi Wu, Junjie Yang +10Multimodal Recommendation Large-Scale Recommendation Systems
When are likely answers right? On Sequence Probability and Correctness in LLMs
Jun 25, 2026Johannes Zenn, Jonas GeipingCorrectness Self-Consistency
Confidence Sequences for Online Statistical Model Checking of Markov Decision Processes
Jun 24, 2026Konstantin Kueffner, Tobias Meggendorfer, Maximilian Weininger +1Markov Decision Processes Confidence Intervals
Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generation
Jun 23, 2026Shuai Zhang, Yancheng Chen, Chuan Zhou +5Autoregressive Diffusion Autoregressive Generation
Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences
Jun 23, 2026Yujia Chen, Bowen WengSim-To-Real Gap Confidence Intervals
Dynamic estimation of slowly varying sequences
Jun 22, 2026Prashant Gokhale, Mikhail Khodak, Sandeep SilwalEstimators Time-Varying Systems
BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language
Jun 20, 2026Qizhi Pei, Zhimeng Zhou, Yi Duan +9Multimodal Foundation Model Unified Multimodal Models
SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training
Jun 19, 2026Kees Jan de Vries, Mustafa Radha, Mathijs de JongEvent-Driven Computation Self-Supervised
JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling
Jun 17, 2026Daochen Zha, Chun How Tan, Xin Liu +9Sequence Modeling Sequence
Approximate Structured Diffusion for Sequence Labelling
Jun 17, 2026Nicolas Floquet, Joseph Le Roux, Nadi TomehHidden Markov Models Sequence
Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem
Jun 17, 2026Blaž Pšeničnik, Borko Bošković, Jan Popić +1Search Algorithms Thompson Sampling
The Program Is Still There: A Conservation Law for Program Discovery
Jun 11, 2026Jorge Miguel SilvaSearch Algorithms Computable
When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms
Jun 9, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Long-Horizon Forecasting Autoregressive Model
Flexible Flows for Biological Sequence Design
Jun 9, 2026Yogesh Verma, Dani Korpela, Harri Lähdesmäki +1Protein Design Generative Flow Networks
Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery
Jun 3, 2026Wenxiao Li, Yongjian Liu, Qing XieNeural Architectures Sequence Modeling
Scaling Laws for Behavioral Foundation Models over User Event Sequences
Jun 3, 2026Rickard Brüel GabrielssonWireless Foundation Models Scaling Laws
Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data
Jun 3, 2026Jannik Presberger, Alexander Männel, Maynard Koch +3Network Traffic Contrastive Learning
Structure and Scale in Simplicial Sequence Modelling
May 31, 2026Matthew Farrugia-RobertsSequence Modeling Emergence
AMix-2: Establishing Protein as a Native Modality in Large Language Models
May 29, 2026Keyue Qiu, Yixin Wu, Lihao Wang +19Protein Design Protein Data Bank
Universal Multiclass Transductive Online Learning
May 28, 2026Steve Hanneke, Hongao WangTransductive Active Labeling Learning-Augmented Algorithms
Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations
May 27, 2026Kevin Y. Li, Asher Trockman, Ananda Theertha Suresh +1Sequence Modeling Softmax Attention
CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models
May 27, 2026Fengze Yang, Bo Yu, Xuewen Luo +2Large Vision Language Models Vision Encoders
Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap
May 27, 2026Sicong Wang, Ruiting Dong, Yue Liu +7Large Language Model Planning Large-Scale Recommendation Systems
Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM
May 27, 2026Tianyi Wu, Xiaoxi Sun, Yanhua Jiao +5Diffusion Language Models LLM Inference Efficiency
Uncertainty-DTW for Sequences and Visual Tokens
May 24, 2026Lei Wang, Syuan-Hao Li, Yongsheng Gao +1Feature Matching Visual Tokens
Structured-Sparse Attention for Entity Tracking with Subquadratic Sequence Complexity
May 21, 2026Hangyue Zhao, Paul Caillon, Erwan Fagnou +1Dynamic Sparse Attention Sequence
Contradiction Graphs Determine VC Dimension
May 19, 2026Jesse Campbell, Daniel Ibaibarriaga, Lev ReyzinGraph Theory Product Spaces
Rethinking Point Clouds as Sequences: A Causal Next-Token Predictive Learning Framework
May 17, 2026Yumeng Yao, Jingzhi Dong, Haowen Gu +43D Foundation Models Sequence
A Retrieval-Enhanced Transformer for Multi-Step Port-of-Call Sequence Prediction in Global Liner Shipping
May 15, 2026Yanzhao Su, Fang He, Yineng WangMaritime Navigation Trajectory Prediction
Time-Varying Deep State Space Models for Sequences with Switching Dynamics
May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleTime-Varying Systems State Space Models
Given, When, Then, Again: Mining Subscenario Refactoring Candidates in Behaviour-Driven Test Suites with ML Classifiers and LLM-Judge Baselines
May 14, 2026Ali Hassaan Mughal, Noor Fatima, Muhammad BilalCode Refactoring Test Generation
Conditional Attribute Estimation with Autoregressive Sequence Models
May 13, 2026Erica Stutz, Giacomo Marino, Daniella Meeker +2Next-Token Prediction Autoregressive Model
(How) Do Large Language Models Understand High-Level Message Sequence Charts?
May 13, 2026Mohammad Reza MousaviDiagrams Formal Semantics
From Message-Passing to Linearized Graph Sequence Models
May 12, 2026Joël Mathys, Basil Rohner, Saku Peltonen +1Graph Representation Learning Sequence Modeling
Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model
May 12, 2026Chenfeng Wang, Wei He, Xuhan Zhu +10Latent Visual Reasoning Large Vision Language Models
Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging
May 11, 2026Guisong Liu, Xin Gao, Martin Dresler +2Sleep Stage Classification Sleep
SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification
May 10, 2026Akarsh Gupta, Kenneth Rodrigues, Sagnik ChatterjeeSequence Representation Learning

Sep 15, 2026 · cs.SDJ/K move · Enter open · S save

Structure Across Voices: Comparing acoustic-event type accumulation and sequence dependence across four vocal repertoires using frozen audio encoders

Mudit Sinha, Sanika Chavan

Independent Researcher, San Bruno, California 94066, United States

Vocal repertoires can differ in acoustic-event type accumulation and temporal organization, yet direct comparison is difficult because corpora use different native events and unequal amounts of sequence. We compare sperm whale codas, human speech phones, Bengalese finch syllables, and common marmoset calls using the same frozen-audio-encoder procedure while matching event count and local sequence opportunity. Whale shows the fastest type accumulation; Finch shows the strongest immediate dependence and repeated-subsequence recurrence. Physically interpretable acoustics recover complementary parts of this profile, continuous analyses without clustering support broad Whale acoustic coverage, and source- and position-preserving nulls retain both Finch order effects. Extending predictive context shifts the comparison toward Whale. Thus repertoire differences depend on the acoustic property and temporal scale measured rather than forming a single hierarchy.

Vocalizations Acoustic Representation Audio Fish Sequence Bangla

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