yusuke1997/dblp-id-title huggingface dataset:
Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?
Enhanced SIRRT*: A Structure-Aware RRT* for 2D Path Planning with Hybrid Smoothing and Bidirectional Rewiring
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation
Sampling Lovász Local Lemma For General Constraint Satisfaction Solutions In Near-Linear Time
First and Second Order Optimal ℋ 2 Model Reduction for Linear Continuous-Time Systems
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
MeROS: Metamodel for ROS-based Systems
NeRF 2 : Neural Radio-Frequency Radiance Fields
The Search-and-Mix Paradigm in Approximate Nash Equilibrium Algorithms
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
Deep Learning-Based Autoencoder for Data-Driven Modeling of an RF Photoinjector
Fast and Green Computing with Graphics Processing Units for solving Sparse Linear Systems
Fast and Accurate Antibody Sequence Design via Structure Retrieval
Collective Model Intelligence Requires Compatible Specialization
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface
Heat diffusion blurs photothermal images with increasing depth
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge
Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
Simulation-based inference of yeast centromeres
Modal Verification Patterns for Systems
Characteristics and Main Threats about Multi-Factor Authentication: A Survey
Society-in-the-Loop: Programming the Algorithmic Social Contract
Constraint satisfaction parameterized by solution size
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement
Explaining generalization in deep learning: progress and fundamental limits
Statistical Reachability Analysis of Stochastic Cyber-Physical Systems under Distribution Shift
Whispy: Adapting STT Whisper Models to Real-Time Environments
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams
Automatic Control Software Synthesis for Quantized Discrete Time Hybrid Systems
Automatic MILP Solver Configuration By Learning Problem Similarities
Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Samples and Features
Data-Driven Models for Traffic Flow at Junctions
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction
Exploring pseudorandom value addition operations in datasets: A layered approach to escape from normal-Gaussian patterns
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
Design and Control of a Novel Variable Stiffness Series Elastic Actuator
An interpretable neural network-based non-proportional odds model for ordinal regression with continuous response
Decidability of Liveness on the TSO Memory Model
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks
Multi-Level Local SGD for Heterogeneous Hierarchical Networks
The current status of large language models in summarizing radiology report impressions
Partial Solvers for Parity Games: Effective Polynomial-Time Composition
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection
Resilient Average Consensus with Adversaries via Distributed Detection and Recovery
Towards Better Object Detection in Scale Variation with Adaptive Feature Selection
Some Properties of Joint Probability Distributions
Probabilistic Flexibility Aggregation of DERs for Ancillary Services Provision
Understanding Overparameterization in Generative Adversarial Networks
Analyzing FOMC Minutes: Accuracy and Constraints of Language Models
Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization
A Comprehensive Survey on Deep Multimodal Learning with Missing Modality
Upper and lower memory capacity bounds of transformers for next-token prediction
H-infinity control problem for general discrete-time systems
Zeroing Neural Networks, an Introduction to, a Survey of, and Predictive Computations for Time-varying Matrix Problems
Galaxy 3D Shape Recovery using Mixture Density Network
Interpretability of Epidemiological Models : The Curse of Non-Identifiability
Structured Sketching for Linear Systems
Recursive input and state estimation: A general framework for learning from time series with missing data
HyperSmooth : calcul et visualisation de cartes de potentiel interactives
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
S2CFormer: Reorienting Learned Image Compression from Spatial Interaction to Channel Aggregation
Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI
IMAD: IMage-Augmented multi-modal Dialogue
Robust Real-Time Tracking of Axis-Symmetric Magnets via Neural Networks
Log-Concave Polynomials III: Mason's Ultra-Log-Concavity Conjecture for Independent Sets of Matroids
A Covert Channel Based on Web Read-time Modulation
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA
Characterization of Minimum Time-Fuel Optimal Control for LTI Systems
Client/Server Based Online Environment for Manual Segmentation of Medical Images
Attention is Naturally Sparse with Gaussian Distributed Input
Depth-3 Arithmetic Circuits for S^2_n(X) and Extensions of the Graham-Pollack Theorem
Solving the clique cover problem on (bull, C 4 )-free graphs
Colorectal cancer diagnosis from histology images: A comparative study
Visibility-aware Cooperative Aerial Tracking with Decentralized LiDAR-based Swarms
Proceedings Workshop on Fixed Points in Computer Science, FICS 2013, Turino, Italy, September 1st, 2013
Compressed Sensing with Probability-based Prior Information
A Case Study of Counting the Number of Unique Users in Linear and Non-Linear Trails - A Multi-Agent System Approach
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives
Optimal Energy Consumption Model for Smart Grid Households with Energy Storage
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer
Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
WSC-Trans: A 3D network model for automatic multi-structural segmentation of temporal bone CT
A Bit of Secrecy for Gaussian Source Compression
An Illumination-Robust Feature Extractor Augmented by Relightable 3D Reconstruction
PolypFlow: Reinforcing Polyp Segmentation with Flow-Driven Dynamics
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models
Point-wise Convolutional Neural Network
From Double to Triple Burden: Gender Stratification in the Latin American Data Annotation Gig Economy
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices
Weighted Parsing for Grammar-Based Language Models over Multioperator Monoids
The Interplay Between High-Level Problems and The Process Instances That Give Rise To Them
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
Quantum Algorithms and Simulation for Parallel and Distributed Quantum Computing
Towards Effective Bug Triage with Towards Effective Bug Triage with Software Data Reduction Techniques
DNA Lossless Differential Compression Algorithm based on Similarity of Genomic Sequence Database
Tracking bitcoin users activity using community detection on a network of weak signals
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings
MOS-2: A Two-Dimension Space for Positioning MAS Organizational Models
CodeDSI: Differentiable Code Search
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications
Maximizing Submodular Functions with the Diminishing Return Property over the Integer Lattice
Low-complexity dominance-based Sphere Decoder for MIMO Systems
CAPODAZ: A Containerised Authorisation and Policy-driven Architecture using Microservices
MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction
Shining Light On Shadow Stacks
Personalized Decision Making - A Conceptual Introduction
Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards
Dual Prompt Tuning for Domain-Aware Federated Learning
Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems
Towards the Internet of Behaviors in airports with a fog-to-cloud approach
The Effect of Social Information in the Dictator Game with a Taking Option
Evaluation of Parameterized Quantum Circuits: on the design, and the relation between classification accuracy, expressibility and entangling capability
Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network
Security Risks of Agentic Vehicles: A Systematic Analysis of Cognitive and Cross-Layer Threats
NVM-in-Cache: Repurposing Commodity 6T SRAM Cache into NVM Analog Processing-in-Memory Engine using a Novel Compute-on-Powerline Scheme
RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
A hybrid framework integrating classical computers and quantum annealers for optimisation of truss structures
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation
A FIRM Approach to Software-Defined Service Composition
Defmod - Parallel multiphysics finite element code for modeling crustal deformation during the earthquake/rifting cycle
Inference via Sparse Coding in a Hierarchical Vision Model
Computation of M -QDR decomposition of tensors and applications
Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming in the Wild
Practical Interpolation for Spectrum Cartography through Local Path Loss Modeling
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization
Channel Equalization and Beamforming for Quaternion-Valued Wireless Communication Systems
Incremental Learning Algorithm for Sound Event Detection
Quantum Random Access Stored-Program Machines
Vernacular Search Query Translation with Unsupervised Domain Adaptation
The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry
A Primal-Dual Extension of the Goemans-Williamson Algorithm for the Weighted Fractional Cut-Covering Problem
Digital Scientific Notations as a Human-Computer Interface in Computer-Aided Research
Generalizable deep learning for photoplethysmography-based blood pressure estimation - A Benchmarking Study
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Twenty Questions Games Always End With Yes
An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images
Evaluation of Xilinx Deep Learning Processing Unit under Neutron Irradiation
Strategic Interaction Among Different Entities in Internet of Things
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images
Tight lower bound on the error exponent of classical-quantum channels
Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages
Delay Minimization in Varying-Bandwidth Direct Multicast with Side Information
Topical: Learning Repository Embeddings from Source Code using Attention
Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data
Towards A Systems Approach To Distributed Programming
Algorithms for realizing degree sequences of directed graphs
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models
Towards diffusion models for large-scale sea-ice modelling
An Isotonic Mechanism for Overlapping Ownership
Decentralized Identifiers and Self-sovereign Identity in 6G
Ethical Challenges in the Human-Robot Interaction Field
Deep interval prediction model with gradient descend optimization method for short-term wind power prediction
Robust multivariate and functional archetypal analysis with application to financial time series analysis
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT
mizar-items: Exploring fine-grained dependencies in the Mizar Mathematical Library
Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration
Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs
SPIDER: Searching Personalized Neural Architecture for Federated Learning
Les mathématiques de la langue : l'approche formelle de Montague
A novel approach to multivariate redundancy and synergy
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints
Proofs and Supplementary Material: Unified Characterization and Precoding for Non-Stationary Channels
Geoint-R1: Formalizing Multimodal Geometric Reasoning with Dynamic Auxiliary Constructions
A Framework for Textbook Enhancement and Learning using Crowd-sourced Annotations
Large Language Models for Mobile GUI Text Input Generation: An Empirical Study
Integer Fine-tuning of Transformer-based Models
Encoding Explanatory Knowledge for Zero-shot Science Question Answering
BitSkip: An Empirical Analysis of Quantization and Early Exit Composition
BODEGA: Benchmark for Adversarial Example Generation in Credibility Assessment
Modelling and Optimization Based Control for Demand Response in Active Distribution Networks
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter
FreqX: What neural networks learn is what network designers say
Generalized Neural Closure Models with Interpretability
MAC Address De-Anonymisation
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
Collision free motion planning on a wedge of circles
Object Delineation in Satellite Images
Stationarity Exploration for Multivariate Time Series Forecasting
Switching Graph Matrix Norm Bounds: from i.i.d. to Random Regular Graphs
Memory-guided Image De-raining Using Time-Lapse Data
Bespoke Nanoparticle Synthesis and Chemical Knowledge Discovery Via Autonomous Experimentations
Android Malware Detection with Unbiased Confidence Guarantees
Speeding-up Dynamic Programming with Representative Sets - An Experimental Evaluation of Algorithms for Steiner Tree on Tree Decompositions
Coded FFT and Its Communication Overhead
The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
From Watch to Imagine: Steering Long-horizon Manipulation via Human Demonstration and Future Envisionment
On Parameter Identification in Three-Dimensional Elasticity and Discretisation with Physics-Informed Neural Networks
Conditional Random Fields, Planted Satisfaction, and Entropy Concentration
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds
Relative position of a parabola or a hyperbola and an ellipse without computing intersection points
On Convex Programming Relaxations for the Permanent
Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models
Multiple Instance Fuzzy Inference Neural Networks
Answering Complex Questions over Text by Hybrid Question Parsing and Execution
On the Diachronic Stability of Irregularity in Inflectional Morphology
Diverse and Controllable Image Captioning with Part-of-Speech Guidance
Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification
Symmetry-Aware Predicate Abstraction for Shared-Variable Concurrent Programs (Extended Technical Report)
Temporal Verification with Answer-Effect Modification
Fair Classification by Direct Intervention on Operating Characteristics
Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation
Geometric Median (GM) Matching for Robust Data Pruning
Two-Step Q-Learning
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting
Quantum software experiments: A reporting and laboratory package structure guidelines
Deciphering Cardiac Destiny: Unveiling Future Risks Through Cutting-Edge Machine Learning Approaches
Inside the clustering threshold for random linear equations
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification
A Novel Approach to Fast Image Filtering Algorithm of Infrared Images based on Intro Sort Algorithm
All-Optical Phase Conjugation Using Diffractive Wavefront Processing
AdversariaL attacK sAfety aLIgnment(ALKALI): Safeguarding LLMs through GRACE: Geometric Representation-Aware Contrastive Enhancement- Introducing Adversarial Vulnerability Quality Index (AVQI)
Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search
ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
On The Number of Different Entries in Involutory MDS Matrices over Finite Fields of Characteristic Two
Quantized Guessing Random Additive Noise Decoding
Using of GPUs for cluster analysis of large data by K-means method
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction
Comparative Analysis of Machine Learning Approaches for Bone Age Assessment: A Comprehensive Study on Three Distinct Models
A Review on Single-Problem Multi-Attempt Heuristic Optimization
Containment for Binary Guarded Monotone SNP
Shape-aware Instance Segmentation
Incoherent Beliefs & Inconsistent Actions in Large Language Models
Myrmics: Scalable, Dependency-aware Task Scheduling on Heterogeneous Manycores
Secret Sharing using Non-Commutative Groups and the Shortlex Order
Semantic Host-free Trojan Attack
Protograph LDPC Codes with Block Thresholds: Extension to Degree-1 and Generalized Nodes
Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging
A theory of meta-factorization
Process Description, Behavior, and Control
Conditional graph entropy as an alternating minimization problem
Author Once, Publish Everywhere: Portable Metadata Authoring with the CEDAR Embeddable Editor
Object Learning and Robust 3D Reconstruction
Randomized Subspace Learning Algorithms with Subspace Structure Preservation Guarantees
From Simple to Professional: A Combinatorial Controllable Image Captioning Agent
Beamforming in Two-Way Fixed Gain Amplify-and-Forward Relay Systems with CCI
Factorized Multimodal Transformer for Multimodal Sequential Learning
Tracing Halpha Fibrils through Bayesian Deep Learning
Magnitude-based Neuron Pruning for Backdoor Defens
Supervised Pretraining for Molecular Force Fields and Properties Prediction
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Complete Entailment Checking for Separation Logic with Inductive Definitions
A Search for the Underlying Equation Governing Similar Systems
On The Robustness of Channel Allocation in Joint Radar And Communication Systems: An Auction Approach
PointNorm: Normalization is All You Need for Point Cloud Analysis
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo
Position-guided Text Prompt for Vision-Language Pre-training
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation
System-Level Efficient Performance of EMLA-Driven Heavy-Duty Manipulators via Bilevel Optimization Framework with a Leader-Follower Scenario
Tangential-Normal Decompositions of Finite Element Differential Forms
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification
A Tractable Probability Distribution with Applications in Three-Dimensional Statistics
Application of Machine Learning Methods in Inferring Surface Water Groundwater Exchanges using High Temporal Resolution Temperature Measurements
UMA-Split: unimodal aggregation for both English and Mandarin non-autoregressive speech recognition
DIPP - Distributed Parallel Pursuit
NORESQA - A Framework for Speech Quality Assessment using Non-Matching References
Revisiting Direct Encoding: Learnable Temporal Dynamics for Static Image Spiking Neural Networks
Linear and Non Linear Behaviour of Mechanical Resonators for Optimized Inertial Electromagnetic Microgenerators
Real-Time Reconfiguration and Connectivity Maintenance for AUVs Network Under External Disturbances using Distributed Nonlinear Model Predictive Control
Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies
Accurate Profiling of Microbial Communities from Massively Parallel Sequencing using Convex Optimization
New Bounds for Permutation Codes in Ulam Metric
Virtualization Architecture for NoC-based Reconfigurable Systems
Attribute Propagation Network for Graph Zero-shot Learning
Using Intelligent Agents to Understand Management Practices and Retail Productivity
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
Sharp error estimates for spatial-temporal finite difference approximations to fractional sub-diffusion equation without regularity assumption on the exact solution
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
Do Not Trust Power Management: Challenges and Hints for Securing Future Trusted Execution Environments
T3DM: Test-Time Training-Guided Distribution Shift Modelling for Temporal Knowledge Graph Reasoning
CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
Optimal Direct Sum Results for Deterministic and Randomized Decision Tree Complexity
A Fast Decision Technique for Hierarchical Hough Transform for Line Detection
TinyGiantVLM: A Lightweight Vision-Language Architecture for Spatial Reasoning under Resource Constraints
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction
Network coding in undirected graphs is either very helpful or not helpful at all
Lessons from Biophilic Design: Rethinking Affective Interaction Design in Built Environments
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks
Deep Planar Parallax for Monocular Depth Estimation
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss
Artistic Arbitrary Style Transfer
Two-Variable Logic with Two Order Relations
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Hermitian Self-dual Twisted Generalized Reed-Solomon Codes
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
Curve and surface construction based on the generalized toric-Bernstein basis functions
Complexity of Resolution of Parametric Systems of Polynomial Equations and Inequations
Spatially-Aware Transformer for Embodied Agents
Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems
Systematic Evaluation and Usability Analysis of Formal Tools for Railway System Design