yusuke1997/dblp-id-title huggingface dataset:
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Higher Order Information Identifies Tie Strength
Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets
Real-Time Probabilistic Programming
Decoupling of clusters in independent sets in a percolated hypercube
Finite-Sum Compositional Stochastic Optimization: Theory and Applications
ChemLog: Making MSOL Viable for Ontological Classification and Learning
On The Eventual Periodicity of Fractional Order Dispersive Wave Equations Using RBFs and Transform
A full scale atmospheric flight experimental research environment for the Mars helicopter
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?
Unsupervised MKL in Multi-layer Kernel Machines
KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event Search in KamLAND-Zen
Paper to Screen: Processing Historical Scans in the ADS
Evaluation of Semantic Metadata Pair Modelling Using Data Clustering
Wavelet-based Global Orientation and Surface Reconstruction for Point Clouds
The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process
Multiscale Analysis of Spreading in a Large Communication Network
Micro-Navigation for Urban Bus Passengers: Using the Internet of Things to Improve the Public Transport Experience
Towards Deploying VLA without Fine-Tuning: Plug-and-Play Inference-Time VLA Policy Steering via Embodied Evolutionary Diffusion
Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
Combining Pyramid Pooling and Attention Mechanism for Pelvic MR Image Semantic Segmentaion
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning
Maximum Pagenumber-k Subgraph is NP-Complete
Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks
Towards Robust and Reproducible Active Learning Using Neural Networks
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
Characterizing Data Dependencies Then and Now
KeyDrown: Eliminating Keystroke Timing Side-Channel Attacks
Derivatives in Proton CT
On the Distance Identifying Set meta-problem and applications to the complexity of identifying problems on graphs
Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification
Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
A New Upper Bound on the Maximal Error Resilience of Interactive Error-Correcting Codes
DRIFT: Deep Reinforcement Learning for Functional Software Testing
Certain new M-matrices and their properties and applications
Inference of the three-dimensional chromatin structure and its temporal behavior
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup
Flow-optimized Cooperative Transmission for the Relay Channel
BACKRUNNER: Mitigating Smart Contract Attacks in the Real World
Learning PSD-valued functions using kernel sums-of-squares
Automatic Machine Learning Derived from Scholarly Big Data
Will Sanders Supporters Jump Ship for Trump? Fine-grained Analysis of Twitter Followers
InstructionCP: A fast approach to transfer Large Language Models into target language
Beyond Universality: Cultural Diversity in Music and Its Implications for Sound Design and Sonification
Towards Integrated and Open COVID-19 Data
Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues
Reddit is all you need: Authorship profiling for Romanian
Transition Property For Cube-Free Words
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions
VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace
The encoding of proprioceptive inputs in the brain: knowns and unknowns from a robotic perspective
Page-Differential Logging: An Efficient and DBMS-independent Approach for Storing Data into Flash Memory
Woven Graph Codes: Asymptotic Performances and Examples
Generative thermodynamic computing
Position Coding
Fair Group-Shared Representations with Normalizing Flows
Collaborative Low-Rank Adaptation for Pre-Trained Vision Transformers
Integration Checker of JAVA P2P distributed System with Auto Source Code Composition
Error-correcting codes for low latency streaming over multiple link relay networks
Fine-grained Correlation Loss for Regression
Growing Winning Subnetworks, Not Pruning Them: A Paradigm for Density Discovery in Sparse Neural Networks
Discrete-Time Linear Dynamical System Control Using Sparse Inputs With Time-Varying Support
Information-Theoretic State Variable Selection for Reinforcement Learning
Threefold Post Correspondence System
Brief for the Canada House of Commons Study on the Implications of Artificial Intelligence Technologies for the Canadian Labor Force: Generative Artificial Intelligence Shatters Models of AI and Labor
Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering
Proceedings of the 1st International Workshop on Methods and Tools for Rigorous System Design, MeTRiD@ETAPS 2018, Thessaloniki, Greece, 15th April 2018
Set Selection under Explorable Stochastic Uncertainty via Covering Techniques
Wicked Implications for Human Interaction with IoT Sensor Data
The AI Cosmologist I: An Agentic System for Automated Data Analysis
Consistency of P-time event graphs is decidable in polynomial time (extended version)
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders
Randomness from causally independent processes
Data-driven quantum Koopman method for simulating nonlinear dynamics
Recovering Nonuniform Planted Partitions via Iterated Projection
Metaverse Support Groups for LGBTQ+ Youth: An Observational Study on Safety, Self-Expression, and Early Intervention
An ontological approach to compliance verification of the NIS 2 directive
Deep Learning for One-dimensional Consolidation
Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
On finitely ambiguous Büchi automata
Offline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Review of Methodological Approaches and Their Application
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
Learning Representations Using Complex-Valued Nets
Residual-Aided End-to-End Learning of Communication System without Known Channel
LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement
p-multilevel Monte Carlo for acoustic scattering from large deviation rough random surfaces
Ride Sharing & Data Privacy: An Analysis of the State of Practice
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness
Non rigid geometric distortions correction - Application to atmospheric turbulence stabilization
Design of intentional backdoors in sequential models
Do Not (Always) Look Right: Investigating the Capabilities of Decoder-Based Large Language Models for Sequence Labeling
KamiWaAi - Interactive 3D Sketching with Java Based on Cl(4, 1) Conformal Model of Euclidean Space
A Wavenumber Integration Model of Underwater Acoustic Propagation in Arbitrary Horizontally Stratified Media Based on a Spectral Method
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training
Recent Trends in Linear Text Segmentation: a Survey
Generalized Insider Attack Detection Implementation using NetFlow Data
Category Theory and Model-Driven Engineering: From Formal Semantics to Design Patterns and Beyond
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection
Calibration of 3D Single-pixel Imaging Systems with a Calibration Field
On Higher-order Moments in Adam
Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
Universal Adversarial Perturbations: Efficiency on a small image dataset
Evaluating Financial Model Performance: An Empirical Analysis of Some North Sea Investments
Uniformly balanced words with linear complexity and prescribed letter frequencies
Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning
Trace Anything: Representing Any Video in 4D via Trajectory Fields
Evaluation of large-scale synthetic data for Grammar Error Correction
Programmable Cellular Automata Based Efficient Parallel AES Encryption Algorithm
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts
ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases
A deep network approach to multitemporal cloud detection
A Multilevel Reinforcement Learning Framework for PDE-based Control
AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer
Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting
Measuring science: irresistible temptations, easy shortcuts and dangerous consequences
Weakly Supervised Vulnerability Localization via Multiple Instance Learning
Invertible Syntax without the Tuples (Functional Pearl)
Optimization of Chaos-based Coded Modulations for Compensation of Amplifier Nonlinearities
Experimenting with Energy-Awareness in Edge-Cloud Containerized Application Orchestration
A New Approach for Measuring Sentiment Orientation based on Multi-Dimensional Vector Space
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
The Crouzeix-Raviart Element for non-conforming dual mixed methods: A Priori Analysis
AiR-ViBeR: Exfiltrating Data from Air-Gapped Computers via Covert Surface ViBrAtIoNs
Cybersecurity for Autonomous Vehicles
EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images
Cyberbiosecurity: DNA Injection Attack in Synthetic Biology
Aleatoric Uncertainty from AI-based 6D Object Pose Predictors for Object-relative State Estimation
Between Filters and Feeds: Investigating Douyin and WeChat's Influence on Chinese Adolescent Body Image
Deep de Finetti: Recovering Topic Distributions from Large Language Models
Coherent Multi-Sentence Video Description with Variable Level of Detail
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Context Information Based Initial Cell Search for Millimeter Wave 5G Cellular Networks
Advancing Transformative Education: Generative AI as a Catalyst for Equity and Innovation
Admission Control and Resource Reservation for Prioritized Slice Requests with Guaranteed SLA under Uncertainties
Stochastic stabilization of dynamical systems over communication channels
An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation
Neural surrogates for designing gravitational wave detectors
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction
Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures
Humans disagree with the IoU for measuring object detector localization error
MedUnA: Language guided Unsupervised Adaptation of Vision-Language Models for Medical Image Classification
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Configurational-force-driven adaptive refinement and coarsening in topology optimization
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
Stream State-tying for Sign Language Recognition
Expand Neurons, Not Parameters
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration
TAPER: query-aware, partition-enhancement for large, heterogenous, graphs
Does context matter in digital pathology?
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
Accelerating Particle-Mesh Algorithms with FPGAs and OmpSs@OpenCL
DAG-Inducing Problems and Algorithms
Evaluating Picture Description Speech for Dementia Detection using Image-text Alignment
How Many Samples is a Good Initial Point Worth?
Making WOM Codes Decodable Using Short Synchronous WOM Codes
SPIM Architecture for MVC based Web Applications
Test of two hypotheses explaining the size of populations in a system of cities
DocPuzzle: A Process-Aware Benchmark for Evaluating Realistic Long-Context Reasoning Capabilities
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis
Dealing With 4-Variables by Resolution: An Improved MaxSAT Algorithm
LLM/Agent-as-Data-Analyst: A Survey
Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study
Are Data-driven Explanations Robust against Out-of-distribution Data?
An O(k log n) algorithm for prefix based ranked autocomplete
Assessing the Students' Understanding and their Mistakes in Code Review Checklists - An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students
Using IKAROS to provide Scalable I/O bandwidth
Intel SGX Enabled Key Manager Service with OpenStack Barbican
Numerical pricing of American options under two stochastic factor models with jumps using a meshless local Petrov-Galerkin method
Space-efficient K-MER algorithm for generalized suffix tree
Time series saliency maps: explaining models across multiple domains
Towards Improving Validation, Verification, Crash Investigations, and Event Reconstruction of Flight-Critical Systems with Self-Forensics
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs
Universal Neyman-Pearson Classification with a Known Hypothesis
Hub Star Modeling 2.0 for Medallion Architecture
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack
ITCM: A Real Time Internet Traffic Classifier Monitor
Numerical Derivatives, Projection Coefficients, and Truncation Errors in Analytic Hilbert Space With Gaussian Measure
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks
Identifying Necessary Elements for BERT's Multilinguality
Bio-inspired reconfigurable stereo vision for robotics using omnidirectional cameras
A Cascade Neural Network Architecture investigating Surface Plasmon Polaritons propagation for thin metals in OpenMP
Geodesic Models with Convexity Shape Prior
NeRF-Accelerated Ecological Monitoring in Mixed-Evergreen Redwood Forest
CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing
Fuzzy Feature Selection with Key-based Cryptographic Transformations
Iterative MILP Methods for Vehicle Control Problems
A-infinity structure on simplicial complexes
Rendering Spatial Sound for Interoperable Experiences in the Audio Metaverse
Analysis of Zero Day Attack Detection Using MLP and XAI
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
A new approach to integrals of discretizations by polarization
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
The field-standardized average impact of national research systems compared to world average: the case of Italy
The Search for Relevance: A Context-Aware Paradigm Shift in Semantic and Task-Oriented V2X Communications
A Parameter-Free Learning Automaton Scheme
V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models
Exponential lower bounds on fixed-size psd rank and semidefinite extension complexity
AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods
Robust Matrix Completion with Deterministic Sampling via Convex Optimization
WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning
DP 2 O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
3D Shape Completion with Multi-view Consistent Inference
Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators
Octupoles for octahedral symmetry
Privacy-Preserving Graph Neural Network for Node Classification
The hull of two classical propagation rules and their applications
SPARK: Synergistic Policy And Reward Co-Evolving Framework
Pattern Formation Problem for Synchronous Mobile Robots in the Three Dimensional Euclidean Space
Analyzing the Impact of Sentiments of Scientific Articles on COVID-19 Vaccination Rates
Robot Data Curation with Mutual Information Estimators
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems
Making Web Annotations Persistent over Time
Assessing the Performance of Question-and-Answer Communities Using Survival Analysis
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Using Machine Teaching to Boost Novices' Robot Teaching Skill
Asymptotic stability and capacity results for a broad family of power adjustment rules: Expanded discussion
Generalized Lyapunov conditions for k-contraction: analysis and feedback design
A Guide of Fingerprint Based Radio Emitter Localization using Multiple Sensors
From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
On a Functional Definition of Intelligence
Emotion-cause pair extraction method based on multi-granularity information and multi-module interaction
Aitken-Schwarz heterogeneous Domain Decomposition for EMT-TS Simulation
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
CityDreamer4D: Compositional Generative Model of Unbounded 4D Cities
Automatic creation of urban velocity fields from aerial video
From Fake Focus to Real Precision: Confusion-Driven Adversarial Attention Learning in Transformers
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
Network Reconfiguration Impact on Renewable Energy System and Energy Storage System in Day-Ahead Scheduling
A CASP-based Solution for Traffic Signal Optimisation
OpTC - A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
Relation-aware Language-Graph Transformer for Question Answering
A Declarative Semantics for CLP with Qualification and Proximity
MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code
Converses for Secret Key Agreement and Secure Computing
Introspective Tips: Large Language Model for In-Context Decision Making
Quality of Transmission Estimation for Network Planning: how to handle single-channel nonlinear effects?
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Effect of Bursty Traffic on Caching Helpers: A Simple Scenario
Lateral Ego-Vehicle Control without Supervision using Point Clouds
Reasoning Riddles: How Explainability Reveals Cognitive Limits in Vision-Language Models
Convex Optimization of Initial Perturbations toward Quantitative Weather Control
Artificial neural networks on graded vector spaces
Integrated Intelligent and Predictive Control: A Multi-Agent Adaptive Type-2 Fuzzy Control Architecture
Increasing Profitability and Confidence by using Interpretable Model for Investment Decisions
Spatial multi-LRU Caching for Wireless Networks with Coverage Overlaps
How Unique is Your .onion? An Analysis of the Fingerprintability of Tor Onion Services
Rate Analysis and Deep Neural Network Detectors for SEFDM FTN Systems
A Survey on Large Language Model based Autonomous Agents
Nonbinary stabilizer codes over finite fields
Design, Results and Industry Implications of the World's First Insurance Large Language Model Evaluation Benchmark
The General Graph Matching Game: Approximate Core
A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem
Efficient Spiking Transformer Enabled By Partial Information
Tree species classification from hyperspectral data using graph-regularized neural networks
ELANA: A Simple Energy and Latency Analyzer for LLMs
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Sound Representation and Classification Benchmark for Domestic Robots
Optical tracking in team sports
Audio-Visual Active Speaker Extraction for Sparsely Overlapped Multi-talker Speech
Understanding Literary Texts by LLMs: A Case Study of Ancient Chinese Poetry
Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates
Problems and Solutions of Continuous Deployment: A Systematic Review
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders
Attestable builds: compiling verifiable binaries on untrusted systems using trusted execution environments
Statistical efficiency of structured cpd estimation applied to Wiener-Hammerstein modeling
Hardware System Implementation for Human Detection using HOG and SVM Algorithm
Reducing Meshing Requirements for Electrostatic Problems using a Galerkin Boundary Element Method
Modelling Delay Jitter in Voice over IP
Metonymy Interpretation Using X NO Y Examples
Covert Communications in STAR-RIS-Aided Rate-Splitting Multiple Access Systems
Graph-Controlled Insertion-Deletion Systems
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
Shape Guided Gradient Voting for Domain Generalization
From Niche to Mainstream: Community Size and Engagement in Social Media Conversations
Parameterized quantum circuits as machine learning models
Sign language segmentation with temporal convolutional networks
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments
Growing Isotropic Neural Cellular Automata
A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA
Self-assembly of the discrete Sierpinski carpet and related fractals
Counterfactual Explanations for k-means and Gaussian Clustering
Linear Algorithms for Computing the Lyndon Border Array and the Lyndon Suffix Array
Stroke Modeling Enables Vectorized Character Generation with Large Vectorized Glyph Model
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language
Automating grapevine LAI features estimation with UAV imagery and machine learning
Unsupervised Learning of Harmonic Analysis Based on Neural HSMM with Code Quality Templates
Reverse Thinking Enhances Missing Information Detection in Large Language Models
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals
Hybrid RIS-Aided Digital Over-the-Air Computing for Edge AI Inference: Joint Feature Quantization and Active-Passive Beamforming Design
Software-Distributed Shared Memory for Heterogeneous Machines: Design and Use Considerations