yusuke1997/dblp-id-title huggingface dataset:
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
On Von Schelling Formula for the Generalized Coupon Collector Problem
A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting
Approximate Sampling of Graphs with Near-P-stable Degree Intervals
SAD: State-Action Distillation for In-Context Reinforcement Learning under Random Policies
Environmental sound conversion from vocal imitations and sound event labels
Canoe Paddling Quality Assessment Using Smart Devices: Preliminary Machine Learning Study
Using a Telepresence System to Investigate Route Choice Behavior
Magnifying Networks for Images with Billions of Pixels
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution
Instrumenting Transaction Trace Properties in Smart Contracts: Extending the EVM for Real-Time Security
Mathematical foundations of matrix syntax
Using Self-Organising Mappings to Learn the Structure of Data Manifolds
Multimodal Proposal for an AI-Based Tool to Increase Cross-Assessment of Messages
Matching with Couples Revisited
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
DiSC-AMC: Token- and Parameter-Efficient Discretized Statistics In-Context Automatic Modulation Classification
On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing Data
Resource Optimization in Device-to-Device Cellular Systems Using Time-Frequency Hopping
On Dual-Finite Volume Methods for Extended Porous Medium Equations
An Analysis of 1-to-First Matching in Iris Recognition
A QUBO Algorithm to Compute Eigenvectors of Symmetric Matrices
Quantifying Articulatory Coordination as a Biomarker for Schizophrenia
Token Exchange Games
What to Do When Privacy Is Gone
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning
A Techno-economic Analysis of Network Migration to Software-Defined Networking
Data-Driven Application Maintenance: Views from the Trenches
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels - Attacks and Defenses
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models
Exchangeable equilibria contradict exactness of the Papadimitriou-Roughgarden algorithm
Choosing is Losing: How to combine the benefits of shallow and deep embeddings through reflection
Investigating operation of the Internet in orbit: Five years of collaboration around CLEO
Deep Generative Adversarial Network for Occlusion Removal from a Single Image
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs
On Evaluation Validity in Music Autotagging
Advancing the Foundation Model for Music Understanding
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples
Structures Without Scattered-Automatic Presentation
Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images
LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation
SafeBench-Seq: A Homology-Clustered, CPU-Only Baseline for Protein Hazard Screening with Physicochemical/Composition Features and Cluster-Aware Confidence Intervals
Recursive Reward Aggregation
Two Remarkable Computational Competencies of the Simple Genetic Algorithm
Factored World Models for Zero-Shot Generalization in Robotic Manipulation
H 2 R: Hierarchical Hindsight Reflection for Multi-Task LLM Agents
Order Statistics Based List Decoding Techniques for Linear Binary Block Codes
OTCE: Hybrid SSM and Attention with Cross Domain Mixture of Experts to construct Observer-Thinker-Conceiver-Expresser
LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference
Texture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter
Machine Learning for Malware Evolution Detection
Texture analysis using deterministic partially self-avoiding walk with thresholds
Sequent Calculi for Data-Aware Modal Logics
An Introduction to Person Re-identification with Generative Adversarial Networks
ABC-Net: Semi-Supervised Multimodal GAN-based Engagement Detection using an Affective, Behavioral and Cognitive Model
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation
Seeing the Unseen in Low-light Spike Streams
Pressure2Motion: Hierarchical Motion Synthesis from Ground Pressure with Text Guidance
Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
On Distributed Routing in Underwater Optical Wireless Sensor Networks
Choir Transformer: Generating Polyphonic Music with Relative Attention on Transformer
A novel approach to graph distinction through GENEOs and permutants
Secure and Energy-Efficient Data Aggregation in Wireless Sensor Networks
Quantum Bayesian decision-making
Online learning in motion modeling for intra-interventional image sequences
Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex
Dynamics of Algorithmic Content Amplification on TikTok
A nonlinear preconditioner for experimental design problems
Toward Optimal Coupon Allocation in Social Networks: An Approximate Submodular Optimization Approach
Source Coding with in-Block Memory and Causally Controllable Side Information
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
End-to-End Fingerprints Liveness Detection using Convolutional Networks with Gram module
A Brain Emotional Learning-inspired Model For the Prediction of Geomagnetic Storms
Development of Automatic Speech Recognition for Kazakh Language using Transfer Learning
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
Dissipativity-Based Distributed Stability Analysis for Networks with Heterogeneous Nonlinear Agents
Impact of Mistiming on the Achievable Information Rate of Rake Receivers in DS-UWB Systems
Strategies of Code-switching in Human-Machine Dialogs
Novelty and Collective Attention
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching
On Disentangled and Locally Fair Representations
Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey
Self-evolving Agents with reflective and memory-augmented abilities
Creating Scalable AGI: the Open General Intelligence Framework
Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively
High Recall Data-to-text Generation with Progressive Edit
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks
How Many Nodes are Effectively Accessed in Complex Networks?
Practical Recovery Solution for Information Loss in Real-Time Network Environment
A Novel Two-Stage Dynamic Decision Support based Optimal Threat Evaluation and Defensive Resource Scheduling Algorithm for Multi Air-borne threats
A computational study of algebraic coarse spaces for two-level overlapping additive Schwarz preconditioners
Training of CC4 Neural Network with Spread Unary Coding
Benchmarking Evolutionary Community Detection Algorithms in Dynamic Networks
Exact solution of the full RMSA problem in elastic optical networks
YOLO-Based Pipeline Monitoring in Challenging Visual Environments
Learning from Millions of 3D Scans for Large-scale 3D Face Recognition
RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration
Making an $H$-Free Graph $k$-Colorable
UOOR: Seamless and Traceable Requirements
Extensions of Configuration Structures
ABBA: A quasi-deterministic Intrusion Detection System for the Internet of Things
Learned Optimizers for Analytic Continuation
Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
TFill: Image Completion via a Transformer-Based Architecture
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation
Timing Model Extraction for Sequential Circuits Considering Process Variations
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
Training neural networks to have brain-like representations improves object recognition performance
EnerVerse-AC: Envisioning Embodied Environments with Action Condition
The Dispersion of Universal Joint Source-Channel Coding for Arbitrary Sources and Additive Channels
Differentially Private Finite Population Estimation via Survey Weight Regularization
Computing Palindromic Trees for a Sliding Window and Its Applications
User Constrained Thumbnail Generation using Adaptive Convolutions
RCdpia: A Renal Carcinoma Digital Pathology Image Annotation dataset based on pathologists
Fault Injection Attacks on Machine Learning-based Quantum Computer Readout Error Correction
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning
Securing DRAM at Scale: ARFM-Driven Row Hammer Defense with Unveiling the Threat of Short tRC Patterns
Optimal Locally Repairable and Secure Codes for Distributed Storage Systems
AI-native Memory 2.0: Second Me
Truncated Nonsmooth Newton Multigrid for phase-field brittle-fracture problems
A Note On Square-free Sequences and Anti-unification Type
Mining Crash Fix Patterns
Security Type Systems as Recursive Predicates
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models
Sinogram-consistency learning in CT for metal artifact reduction
Enhanced Information Fusion Network for Crowd Counting
Network Alignment with Transferable Graph Autoencoders
Generative Modeling with Quantum Neurons
ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
A reduction of the dynamic time warping distance to the longest increasing subsequence length
SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments
Managing Hybrid Solid-State Drives Using Large Language Models
Online Learning for Distribution-Free Prediction
Social learning with complex contagion
Machine Learning in Ethnobotany - a first experiment
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Joint Resource Estimation and Trajectory Optimization for eVTOL-involved CR network: A Monte Carlo Tree Search-based Approach
TEASEL: A Transformer-Based Speech-Prefixed Language Model
DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering
FDive: Learning Relevance Models using Pattern-based Similarity Measures
Flip Graphs for Polynomial Multiplication
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
Understanding Computer Science Students' Career Fair Experiences: Goals, Preparation, and Outcomes
Evaluating Personal Assistants on Mobile devices
Generalized Multi-cluster Game under Partial-decision Information with Applications to Management of Energy Internet
Assessing Large Language Models for Structured Medical Order Extraction
Which Blockchain to choose? A decision support tool to guide the choice of a Blockchain technology
PyUAT: Open-source Python framework for efficient and scalable cell tracking
On Identifying Disaster-Related Tweets: Matching-based or Learning-based?
Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks
Implementation and Evaluation of Data Center Congestion Controller with Switch Assistance
Domination above r-independence: does sparseness help?
How to train your conditional GAN: An approach using geometrically structured latent manifolds
CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing
Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection
Doppler Radiance Field-Guided Antenna Selection for Improved Generalization in Multi-Antenna Wi-Fi-based Human Activity Recognition
Empirical Insights for Designing Information and Communication Technology for International Disaster Response
Industrial Scene Change Detection using Deep Convolutional Neural Networks
Material Measurement Units: Foundations Through a Survey
Graph representations of 3D data for machine learning
Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive Analysis
Event-based Feature Extraction Using Adaptive Selection Thresholds
Developers Task Satisfaction and Performance during the COVID-19 Pandemic
DReLUs: Dual Rectified Linear Units
S2CTrans: Building a bridge from SPARQL to Cypher
A 𝒞R-rotated Q 1 nonconforming finite element method for Stokes interface problems on local anisotropic fitted mixed meshes
Modified group non-membership is in AWPP
Digital Asset Valuation: A Study on Domain Names, Email Addresses, and NFTs
Parameterizations of Logarithmic-Space Reductions, Stack-State Complexity of Nonuniform Families of Pushdown Automata, and a Road to the LOGCFL⊆LOGDCFL/poly Question
Press F1 for help: participatory design for dealing with on-line and real life security of older adults
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
A Framework for Inherently Interpretable Optimization Models
Enhancing polynomial approximation of continuous functions by composition with homeomorphisms
Data Curves Clustering Using Common Patterns Detection
KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation
Collecting a Swarm in a Grid Environment Using Shared, Global Inputs
Class-aware Information for Logit-based Knowledge Distillation
How humans evaluate AI systems for person detection in automatic train operation: Not all misses are alike
A proposed new metric for the conceptual diversity of a text
Time stepping adaptation for subdiffusion problems with non-smooth right-hand sides
Freeze and Conquer: Reusable Ansatz for Solving the Traveling Salesman Problem
A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery
Interpolation of Dense and Sparse Rational Functions and other Improvements in FireFly
Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model
"Customization is Key": Four Characteristics of Textual Affordances for Accessible Data Visualization
Task-relevant Representation Learning for Networked Robotic Perception
Semantic Motion Correction Via Iterative Nonlinear Optimization and Animation
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis
Ramifications and Diminution of Image Noise in Iris Recognition System
Highly Efficient Compact Pose SLAM with SLAM++
Computing the Fréchet Distance Between Folded Polygons
A network with tunable clustering, degree correlation and degree distribution, and an epidemic thereon
A Scalable MARL Solution for Scheduling in Conflict Graphs
Modelling influence and opinion evolution in online collective behaviour
Introductory review to quantum information retrieval
Quality analysis and evaluation prediction of RAG retrieval based on machine learning algorithms
A ⋆-Product Approach for Analytical and Numerical Solutions of Nonautonomous Linear Fractional Differential Equations
Agafonov's Theorem for finite and infinite alphabets and probability distributions different from equidistribution
Some Strategies to Capture Karaka-Yogyata with Special Reference to apadana
Boosting Deep Ensembles with Learning Rate Tuning
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
Data-driven Joint Detection and Localization of Acoustic Reflectors
A note on real similarity to a diagonal dominant matrix
On-manifold Decentralized State Estimation using Pseudomeasurements and Preintegration
Can AI be Accountable?
A Topological Machine Learning Pipeline for Classification
An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model
TokenWeave: Efficient Compute-Communication Overlap for Distributed LLM Inference
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation
Analysis and implementation of nanotargeting on LinkedIn based on publicly available non-PII
Anatomical Similarity as a New Metric to Evaluate Brain Generative Models
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer
Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation
KAN-Therm: A Lightweight Battery Thermal Model Using Kolmogorov-Arnold Network
Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform
Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Deep Learning for Audio Transcription on Low-Resource Datasets
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer
Beyond tight deadlines: what are the business causes for technical debt?
Being Kind Isn't Always Being Safe: Diagnosing Affective Hallucination in LLMs
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model
Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for Rapid Geometry Acquisition
Flow-based reputation with uncertainty: Evidence-Based Subjective Logic
Achieving Group Fairness through Independence in Predictive Process Monitoring
RegNLP in Action: Facilitating Compliance Through Automated Information Retrieval and Answer Generation
Embed System for Robotic Arm with 3 Degree of Freedom Controller using Computational Vision on Real-Time
REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation
Towards security defect prediction with AI
Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy
Proportionally dense subgraph of maximum size: complexity and approximation
Joint Estimation and Contention-Resolution Protocol for Wireless Random Access
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization
The Lax-Wendroff theorem for Patankar-type methods applied to hyperbolic conservation laws
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
The Janus System: Multi-paradigm Programming in Prolog and Python
On the Stability of Contention Resolution Diversity Slotted ALOHA
On the Battery Recharge Time in a Stochastic Energy Harvesting System
Randomized Kaczmarz with tail averaging
Learning Automata with Name Allocation
Unlocking Interpretability for RF Sensing: A Complex-Valued White-Box Transformer
NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images
Monotonicity of quantum relative entropy and recoverability
Equilibrium Distributions and Stability Analysis of Gaussian Process State Space Models
Mesh Denoising and Inpainting using the Total Variation of the Normal
The One-Way Communication Complexity of Group Membership
A General Model of Vehicle Routing Guidance Systems based on Distributive Learning Scheme
SuperHF: Supervised Iterative Learning from Human Feedback
Linear Logic by Levels and Bounded Time Complexity
Extreme Quantum Advantage for Rare-Event Sampling
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Improved Synthetic Training for Reading Comprehension
Holographic MIMO Communications: What is the benefit of closely spaced antennas?
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
Measuring the Impact of Student Gaming Behaviors on Learner Modeling
3D Points Splatting for Real-Time Dynamic Hand Reconstruction
How Not to Characterize Planar-emulable Graphs
Physical Modelling and Cancellation of External Passive Intermodulation in FDD MIMO
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo
Quickest Change Point Detection and Identification Across a Generic Sensor Array
Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics
Pseudo strong labels for large scale weakly supervised audio tagging
Unsupervised Visual and Textual Information Fusion in Multimedia Retrieval - A Graph-based Point of View
Cognitive-YOLO: LLM-Driven Architecture Synthesis from First Principles of Data for Object Detection
A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem
Experimental Evidence on Negative Impact of Generative AI on Scientific Learning Outcomes
Embodied Active Learning of Generative Sensor-Object Models
Secret Sharing based Secure Regressions with Applications
Optimizing Kernel Machines using Deep Learning
The Manufacture of Political Echo Chambers by Follow Train Abuse on Twitter
Confidence Sets in Time--Series Filtering
You Only Look One-level Feature
Edge- and Node-Disjoint Paths in P Systems
Quantum Pattern Recognition in Photonic Circuits
Multi-Robot Patrol Algorithm with Distributed Coordination and Consciousness of the Base Station's Situation Awareness
Joint Model-based Model-free Diffusion for Planning with Constraints
A Bayesian Deep Learning Technique for Multi-Step Ahead Solar Generation Forecasting
Scene-based nonuniformity correction with homography transformation
Blind proxy voting
Spatial frequency information fusion network for few-shot learning
Reconstruction of Network Coded Sources From Incomplete Datasets
LVFace: Large Vision model for Face Recogniton
User-specific Adaptive Fine-tuning for Cross-domain Recommendations
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Hamming Compressed Sensing
An Algorithm for L ∞ Approximation by Step Functions
COMIX: Generalized Conflict Management in O-RAN xApps - Architecture, Workflow, and a Power Control case
Proximal Iteration for Nonlinear Adaptive Lasso
Asymptotic Characterisation of Regularised Zero-Forcing Receiver for Imperfect and Correlated Massive MIMO Systems with Optimal Power Allocation
SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
How to Tune Autofocals: A Comparative Study of Advanced Tuning Methods
An Information Theoretic Charachterization of Channel Shortening Receivers
A Proof of the 2004 Albert-Grossman-Nowakowski-Wolfe Conjecture on Alternating Linear Clobber
DNN Filter for Bias Reduction in Distribution-to-Distribution Scan Matching
Deep neural networks for geometric multigrid methods
Fast Parallel I/O on Cluster Computers
Server-side Fingerprint-Based Indoor Localization Using Encrypted Sorting
MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Dynamic beats fixed: on phase-based algorithms for file migration
How does the primate brain combine generative and discriminative computations in vision?
LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation
A Distributed Force-Directed Algorithm on Giraph: Design and Experiments
Optimal Bounds on the VC-dimension
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation