yusuke1997/dblp-id-title huggingface dataset:
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
Authenticating Transactions using Bank-Verified Biometrics
Modeling the dynamical interaction between epidemics on overlay networks
Optimal and Suboptimal Routing Based on Partial CSI in Random Ad-hoc Networks
The role of dimensionality reduction in linear classification
Optimizing ship detection efficiency in SAR images
Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
A Minimal Propositional Type Theory
Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
Deep-Learning Inversion Method for the Interpretation of Noisy Logging-While-Drilling Resistivity Measurements
Renal digital pathology visual knowledge search platform based on language large model and book knowledge
Less Memory Means smaller GPUs: Backpropagation with Compressed Activations
Inferring entropy production in many-body systems using nonequilibrium MaxEnt
LucidDream: Controlled Temporally-Consistent DeepDream on Videos
An Efficient Network Coding based Retransmission Algorithm for Wireless Multicasts
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
Two Cases of Deduction with Non-referring Descriptions
Quantifying over boolean announcements
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge
Optimizers Qualitatively Alter Solutions And We Should Leverage This
Fair and Safe: A Real-Time Hierarchical Control Framework for Intersections
Ontology Enabled Hybrid Modeling and Simulation
Can We Reliably Predict the Fed's Next Move? A Multi-Modal Approach to U.S. Monetary Policy Forecasting
Unifying Classification Schemes for Software Engineering Meta-Research
Millimeter Wave Picocellular System Evaluation for Urban Deployments
Duality-Based Algorithm and Numerical Analysis for Optimal Insulation Problems on Non-Smooth Domains
Mean Height Aided Post-Processing for Pedestrian Detection
The effect of scene context on weakly supervised semantic segmentation
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs
Syntactic Complexity of Prefix-, Suffix-, and Bifix-Free Languages
Modeling and Analyzing Release Trajectory based on the Process of Issue Tracking
Broadcast Channels with Confidential Messages by Randomness Constrained Stochastic Encoder
Factorial Convolution Neural Networks
Multi-stage Deep Learning Artifact Reduction for Computed Tomography
SARAL-Bot: Autonomous Robot for Strawberry Plant Care
Asymptotic Analysis for Greedy Initialization of Threshold-Based Distributed Optimization of Persistent Monitoring on Graphs
DMA Collectives for Efficient ML Communication Offloads
CIUV: Collaborating Information Against Unreliable Views
Privacy of Agents' Costs in Peer-to-Peer Distributed Optimization
Sentence Encoding with Tree-constrained Relation Networks
The Application of Blockchain-Based Crypto Assets for Integrating the Physical and Financial Supply Chains in the Construction & Engineering Industry
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
Adaptive Sampling for Estimating Multiple Probability Distributions
Deficient Excitation in Parameter Learning
Neural NMPC through Signed Distance Field Encoding for Collision Avoidance
Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
New Constructions of SSPDs and their Applications
ChatGPT in education: A discourse analysis of worries and concerns on social media
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving
Compressive Mechanism: Utilizing Sparse Representation in Differential Privacy
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
Optimal regularizations for data generation with probabilistic graphical models
Efficient multi-level hp-finite elements in arbitrary dimensions
Low memory implementation of Orthogonal Matching Pursuit like greedy algorithms: Analysis and Applications
AETAS: Analysis of Evolving Temporal Affect and Semantics for Legal History
A Novel Control-Oriented Cell Transition Model Including Service Stations on Highways
Anatomically Constrained Tractography of the Fetal Brain
Participatory Evolution of Artificial Life Systems via Semantic Feedback
A Simulation-Based Test of Identifiability for Bayesian Causal Inference
Fault Isolation for the Ink Deposition Process in High-End Industrial Printers
Multi-Scale Attention Neural Network for Acoustic Echo Cancellation
Distributed Fault-Tolerant Control for Heterogeneous MAS with Prescribed Performance under Communication Failures
Spectral Learning of Binomial HMMs for DNA Methylation Data
An Upper Confidence Bound Approach to Estimating the Maximum Mean
Distributed Compression and Multiparty Squashed Entanglement
Combinatorial Auctions with Decreasing Marginal Utilities
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
Observational Auditing of Label Privacy
The scaling of goals via homeostasis: an evolutionary simulation, experiment and analysis
High-Speed Signature Matching in Network Interface Device using Bloom Filters
Layer-Wise Evolution of Representations in Fine-Tuned Transformers: Insights from Sparse AutoEncoders
Microservices, Continuous Architecture, and Technical Debt Interest: An Empirical Study
Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao
Three Tools for Practical Differential Privacy
A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning
Privacy in Search Logs
Does Vision Accelerate Hierarchical Generalization of Neural Language Learners?
Developing a Multi-Platform Speech Recording System Toward Open Service of Building Large-Scale Speech Corpora
A parameterized halting problem, Δ 0 truth and the MRDP theorem
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Improved approximation for 3-dimensional matching via bounded pathwidth local search
Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
VizRec: A framework for secure data exploration via visual representation
Model-based Digital Twins of Medicine Dispensers for Healthcare IoT Applications
Optimal Resource Allocation for Cellular Networks with MATLAB Instructions
Learning Automata of PLCs in Production Lines Using LSTM
AIDetection: A Generative AI Detection Tool for Educators Using Syntactic Matching of Common ASCII Characters As Potential 'AI Traces' Within Users' Internet Browser
Learning Referring Video Object Segmentation from Weak Annotation
Energy Balance and Optical Theorem for Time-Modulated Subwavelength Resonator Arrays
Real3D: Scaling Up Large Reconstruction Models with Real-World Images
Computationally Efficient Tree Variants of Gromov-Wasserstein
Random walk model that universally generates inverse square Lévy walk by eliminating search cost minimization constraint
Zero-Shot Duet Singing Voices Separation with Diffusion Models
DTization: A New Method for Supervised Feature Scaling
A Large-scale Analysis of App Inventor Projects
Towards thinner convolutional neural networks through Gradually Global Pruning
Analyse de la rigidité des machines outils 3 axes d'architecture parallèle hyperstatique
Semi-Supervised Learning with Heterophily
BenTo: Benchmark Task Reduction with In-Context Transferability
Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk
Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh Recovery
Gabliteration: Adaptive Multi-Directional Neural Weight Modification for Selective Behavioral Alteration in Large Language Models
A characterization of combinatorial demand
Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models
Visual Subpopulation Discovery and Validation in Cohort Study Data
Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
List-decoding homomorphism codes with arbitrary codomains
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
SkillWrapper: Generative Predicate Invention for Skill Abstraction
Algorithmic aspects of Brascamp-Lieb inequalities
"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs
Reducing Topological Minor Containment to the Unique Linkage Theorem
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
Proceedings of the first International Workshop On Open Data, WOD-2012
A global quadratic speed-up for computing the principal eigenvalue of Perron-like operators
Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems
Advancing GDP Forecasting: The Potential of Machine Learning Techniques in Economic Predictions
SIMulator: SIM Tracing on a (Pico-)Budget
Private Selection from Private Candidates
The Discontinuity Problem
Variance-Reducing Couplings for Random Features: Perspectives from Optimal Transport
MonoDream: Monocular Vision-Language Navigation with Panoramic Dreaming
Machine Learning for Consistency Violation Faults Analysis
Towards the Impossibility of Non-Signalling Privacy Amplification from Time-Like Ordering Constraints
Implicit like time discretization for the one-phase Hele-Shaw problem with surface tension
On cardinality of the lower sets and universal discretization
Decompositional Reasoning for Graph Retrieval with Large Language Models
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability
Using Sentiment Induction to Understand Variation in Gendered Online Communities
ICANN and Antitrust
Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
Toward Automated Website Classification by Deep Learning
A Multilayer Approach to Multiplexity and Link Prediction in Online Geo-Social Networks
Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network
DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation
Proceedings of the LOCATA Challenge Workshop - a satellite event of IWAENC 2018
Machine Translation with Large Language Models: Decoder Only vs. Encoder-Decoder
What makes multilingual BERT multilingual?
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Attention Is Not All You Need: The Importance of Feedforward Networks in Transformer Models
Not with my name! Inferring artists' names of input strings employed by Diffusion Models
On TCP-based Session Initiation Protocol (SIP) Server Overload Control
Analyzing Performance Issues of Virtual Reality Applications
On Algorithms Based on Joint Estimation of Currents and Contrast in Microwave Tomography
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework
End-to-end Alternating Optimization for Blind Super Resolution
A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles
The Importance of the Digital Object Identifier (DOI) in Enhancing the Credibility of Scientific Research: An Analytical Data Study
Towards Prediction Explainability through Sparse Communication
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
Real-time rail vehicle localisation using spatially resolved magnetic field measurements
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling
End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning
Effects for Funargs
Quantum-Based Combinatorial Optimization for Structural Health Monitoring Applications
Neural Network Module Decomposition and Recomposition
Targeting HIV-related Medication Side Effects and Sentiment Using Twitter Data
Backward Reachability for Polynomial Systems on A Finite Horizon
Risk-based Triggering of Bio-inspired Self-Preservation to Protect Robots from Threats
What is the Metaverse? An Immersive Cyberspace and Open Challenges
Constructing and Sampling Graphs with a Prescribed Joint Degree Distribution
LLM-Driven Multi-Agent Curation and Expansion of Metal-Organic Frameworks Database
A Data-Parallel Version of Aleph
Stabilized velocity post-processings for Darcy flow in heterogeneous porous media
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bands
A Novel Dependency Framework for Enhancing Discourse Data Analysis
Learned Local Attention Maps for Synthesising Vessel Segmentations
Enhancing Web Agents with Explicit Rollback Mechanisms
A Fast Pseudo-Stochastic Sequential Cipher Generator Based on RBMs
Reconstructing seen images from human brain activity via guided stochastic search
First Responders' Perceptions of Semantic Information for Situational Awareness in Robot-Assisted Emergency Response
Automatic Navigation and Voice Cloning Technology Deployment on a Humanoid Robot
LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention
Parameterized Synthesis Case Study: AMBA AHB
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect
Car sharing through the data analysis lens
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
Decarbonization of aviation via hydrogen propulsion: technology performance targets and energy system impacts
Exploring the Composition of Unit Test Suites
Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes
Show Us the Way: Learning to Manage Dialog from Demonstrations
Utility of general and specific word embeddings for classifying translational stages of research
Monotone Neural Control Barrier Certificates
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning
MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks
Towards Statistical Methods for Minimizing Effects of Failure Cascades
Fair Decision Making using Privacy-Protected Data
Persian Speech Emotion Recognition by Fine-Tuning Transformers
Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback
Few-shot Image Generation via Style Adaptation and Content Preservation
A Markovian Analysis of IEEE 802.11 Broadcast Transmission Networks with Buffering
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation
A Tutorial on Doubly Robust Learning for Causal Inference
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
Multiphonic modeling using Impulse Pattern Formulation (IPF)
Capacity Bounds for Relay Channels with Inter-symbol Interference and Colored Gaussian Noise
Emotion Recognition in Conversation using Probabilistic Soft Logic
Latency Analysis of Consortium Blockchained Federated Learning
Generalized Deterministic-Random Tradeoff in Integrated Sensing and Communications: The Sensing-Optimal Operating Point
#COVID-19 on Twitter: Bots, Conspiracies, and Social Media Activism
Fast PINN Eigensolvers via Biconvex Reformulation
Simple Control Baselines for Evaluating Transfer Learning
Novel Sparse-Coded Ambient Backscatter Communication for Massive IoT Connectivity
Subspace power method for symmetric tensor decomposition and generalized PCA
Self-Attention for Raw Optical Satellite Time Series Classification
Vision Language Models Are Not (Yet) Spelling Correctors
Towards Blockchain-enabled Open Architectures for Scalable Digital Asset Platforms
Simulation-Based Analytics for Fabrication Quality-Associated Decision Support
Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable
Control for Coalitions in Parliamentary Elections
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
A Comparison of Five Probabilistic View-Size Estimation Techniques in OLAP
Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs
Heterogeneous knowledge representation using a finite automaton and first order logic: a case study in electromyography
Grammatical cues are largely, but not completely, redundant with word meanings in natural language
Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach
Measurement of the Granularity of Vowel Production Space By Just Producible Different (JPD) Limens
Write Channel Model for Bit-Patterned Media Recording
Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation
High Date-Rate Single-Symbol ML Decodable Distributed STBCs for Cooperative Networks
PEEPLL: Privacy-Enhanced Event Pseudonymisation with Limited Linkability
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation
Population Density-based Hospital Recommendation with Mobile LBS Big Data
A Discussion on Solving Partial Differential Equations using Neural Networks
SPECWANDS: An Efficient Priority-based Scheduler Against Speculation Contention Attacks
A Shape Lemma for Ideals of Differential Operators
Multi-level Monte Carlo Variational Inference
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models
Synthesis of Maximally Permissive Covert Attackers Against Unknown Supervisors by Using Observations
Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data
Kantian fractionalization predicts the conflict propensity of the international system
Products of Recursive Programs for Hypersafety Verification
Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System
Restless Bandits with Many Arms: Beating the Central Limit Theorem
Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation
Memory Lens: How Much Memory Does an Agent Use?
Connectivity-Preserving Cortical Surface Tetrahedralization
New Binary Self-Dual Cyclic Codes with Square-Root-Like Minimum Distances
Preprint Virtual Reality Based GIS Analysis Platform
Neural L1 Adaptive Control of Vehicle Lateral Dynamics
Jamming Bandits
Graph modification of bounded size to minor-closed classes as fast as vertex deletion
On the Resilience of an Ant-based System in Fuzzy Environments. An Empirical Study
Extrapolation by Association: Length Generalization Transfer in Transformers
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
Extreme Low Resolution Activity Recognition with Spatial-Temporal Attention Transfer
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
Natural Illumination from Multiple Materials Using Deep Learning
Ensemble perspective for understanding temporal credit assignment
FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System
On Quantum and Classical Error Control Codes: Constructions and Applications
Split-kl and PAC-Bayes-split-kl Inequalities
"I thought it was my mistake, but it's really the design": A Critical Examination of the Accessibility of User-Enacted Moderation Tools on Facebook and X
Diagnostic Reasoning in Natural Language: Computational Model and Application
FCCDN: Feature Constraint Network for VHR Image Change Detection
EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks
The trouble with tensor ring decompositions
A Modified BGK Collision Operator for Exact Conservation in Numerical Solutions of Boltzmann-BGK
Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation
Recognition of Logically Related Regions Based Heap Abstraction
Enhance accuracy in Software cost
Embeddings and labeling schemes for A
The effect of discrete vs. continuous-valued ratings on reputation and ranking systems
An inequality for the Fourier spectrum of parity decision trees
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control
Two-stage Textual Knowledge Distillation to Speech Encoder for Spoken Language Understanding
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments
Towards Fairness in Online Service with k Servers and its Application on Fair Food Delivery
Database Reasoning Over Text
Errata Note: Discovering Order Dependencies through Order Compatibility
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes
Diagnosing Convolutional Neural Networks using their Spectral Response
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
Optimizing the Long-Term Behaviour of Deep Reinforcement Learning for Pushing and Grasping
Personalizing Intervention Probabilities By Pooling
A Study on the Behavior of a Neural Network for Grouping the Data
The Probabilistic Rabin Tree Theorem
From Neuron to Neural Networks dynamics
MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
Bounded Termination of Monotonicity-Constraint Transition Systems
Computational Social Dynamics: Analyzing the Face-level Interactions in a Group
Distributed Dual Gradient Tracking for Economic Dispatch in Power Systems with Noisy Information
Thompson Sampling for Linear Bandit Problems with Normal-Gamma Priors
MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch
Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions
Investigation Of The Distinguishability Of Giraud-Verneuil Atomic Blocks
Explainable Equivariant Neural Networks for Particle Physics: PELICAN
How to Avoid Reidentification with Proper Anonymization
MoQa: Rethinking MoE Quantization with Multi-stage Data-model Distribution Awareness
Emerging archetypes in massive artificial societies for literary purposes using genetic algorithms
Modelling 1/f Noise in TRNGs via Fractional Brownian Motion
FreqCross: A Multi-Modal Frequency-Spatial Fusion Network for Robust Detection of Stable Diffusion 3.5 Generated Images
Non-Asymptotic Lower Bounds For Training Data Reconstruction
Boosting Video Captioning with Dynamic Loss Network