yusuke1997/dblp-id-title huggingface dataset:
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
Take-home Complexity
Joining Transition Systems of Records: Some Congruency and Language-Theoretic Results
Data-driven aerodynamic shape design with distributionally robust optimization approaches
The Universe of Minds
Talent, Luck, Context and Perspective on Success: a disaggregating simulation using Risk
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Typhoon: Thai Large Language Models
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiers
SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems
A Verified Packrat Parser Interpreter for Parsing Expression Grammars
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models
Data-driven Modeling for Distribution Grids Under Partial Observability
Addressing the Challenges of Planning Language Generation
Agile Scrum Development in an ad hoc Software Collaboration
Convolutional Recurrent Neural Networks for Blood Glucose Prediction
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
The madness of people: rational learning in feedback-evolving games
δ-EMG: A Monotonic Graph Index for Approximate Nearest Neighbor Search
Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents
A formalization of forcing and the unprovability of the continuum hypothesis
Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives
Posterior Distribution for the Number of Clusters in Dirichlet Process Mixture Models
Explainability Matters: Backdoor Attacks on Medical Imaging
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale
Maximal planar graphs that embed as centers
Low Complexity Space-Frequency MIMO OFDM System for Double-Selective Fading Channels
On Minimizing the Average Packet Decoding Delay in Wireless Network Coded Broadcast
Spectral Function Space Learning and Numerical Linear Algebra Networks for Solving Linear Inverse Problems
Technology-assisted Personalized Yoga for Better Health - Challenges and Outlook
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions
Artifacts Detection and Error Block Analysis from Broadcasted Videos
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo
ML and Near-ML Decoding of LDPC Codes Over the BEC: Bounds and Decoding Algorithms
UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving
Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens
EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation
Generalizing Large Language Model Usability Across Resource-Constrained
Optimal Decomposition of Belief Networks
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Dynamics Based Privacy Protection for Average Consensus on Directed Graphs
A Rule-Based Approach For Aligning Japanese-Spanish Sentences From A Comparable Corpora
Characterizations of the Crandall-Pazy Class of C 0 -semigroups on Hilbert Spaces and Their Application to Decay Estimates
Xenakis: Experimenting with Data, Cities, and Sounds
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
Feature Engineering in Learning-to-Rank for Community Question Answering Task
Study on Neural Immune PD Type Tracking Control for DC Actuating Mechanism
Automatic Related Work Generation: A Meta Study
Approaching Miscorrection-free Performance of Product and Generalized Product Codes
Nonnegativity-Enforced Gaussian Process Regression
Collective Upkeep
Graphs, Ideal Flow, and the Transportation Network
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing
Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study
Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings
A review on deep learning techniques for 3D sensed data classification
Geometrical holographic display
STRIPS Planning in Infinite Domains
Effect of top-down connections in Hierarchical Sparse Coding
Quantum Ensemble Classification: A Sampling-based Learning Control Approach
Towards Product Lining Model-Driven Development Code Generators
A Compact Quasi-Yagi Antenna for FMCW Radar-on-Chip based Through-Wall Imaging
A simple probabilistic construction yielding generalized entropies and divergences, escort distributions and q-Gaussians
MSO definable string transductions and two-way finite state transducers
Mixed-Precision Quantization for Language Models: Techniques and Prospects
360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation
A Neurodynamic model of Saliency prediction in V1
OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering
An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction
ExpertNet: A Symbiosis of Classification and Clustering
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique
Takagi-Sugeno Fuzzy Modeling and Control for Effective Robotic Manipulator Motion
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
Dynamical loss functions shape landscape topography and improve learning in artificial neural networks
Polynomial-Delay Enumeration of Large Maximal Matchings
Specular-to-Diffuse Translation for Multi-View Reconstruction
Learning Distributions over Permutations and Rankings with Factorized Representations
The Solution for the CVPR 2023 1st foundation model challenge-Track2
On the Decentralized Generation of theRSA Moduli in Multi-Party Settings
3D Randomized Connection Network with Graph-based Label Inference
Design and Analysis of Cold Gas Thruster to De-Orbit the PSLV Debris
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
QoS Routing and Performance Evaluation for Mobile Ad Hoc Networks using OLSR Protocol
SOARAN: A Service-oriented Architecture for Radio Access Network Sharing in Evolving Mobile Networks
Practical error bounds for properties in plane-wave electronic structure calculations
Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
Modelling of a Permanent Magnet Synchronous Machine Using Isogeometric Analysis
Projected Model Counting
From rankings to funnel plots: the question of accounting for uncertainty when measuring university research performance
CloudCast - Total Cloud Cover Nowcasting with Machine Learning
W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Amortized Safe Active Learning for Real-Time Decision-Making: Pretrained Neural Policies from Simulated Nonparametric Functions
Human acceptability judgements for extractive sentence compression
On the Role of Infrastructure sharing for Mobile Network Operators in Emerging Markets
Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements
Planetary Terrain Datasets and Benchmarks for Rover Path Planning
Quantum Clustering with k-Means: a Hybrid Approach
Learned Image Compression for Machine Perception
A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication
MEPIC: Memory Efficient Position Independent Caching for LLM Serving
Exploring Network Economics
Sl-EDGE: Network Slicing at the Edge
AI-based Programming Assistants for Privacy-related Code Generation: The Developers' Experience
RIS-assisted Data Collection and Wireless Power Transfer in Low-altitude Wireless Networks
A Generative Conditional Distribution Equality Testing Framework and Its Minimax Analysis
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
Co-Optimization of Damage Assessment and Restoration: A Resilience-Driven Dynamic Crew Allocation for Power Distribution Systems
Autoencoder-based holographic image restoration
Parallel Multi-step Spectral Indicator Method for Nonlinear Eigenvalue Problems
Distortion Outage Probability in MIMO Block-Fading Channels
Deep Probabilistic Feature-metric Tracking
Dataless Quadratic Neural Networks for the Maximum Independent Set Problem
On the Complexity of Community-aware Network Sparsification
Cross Site Request Forgery on Android WebView
Rewrite Rule Inference Using Equality Saturation
TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy
Performance of Stanford and Minipar Parser on Biomedical Texts
WXSOD: A Benchmark for Robust Salient Object Detection in Adverse Weather Conditions
Enhancing Secrecy with Multi-Antenna Transmission in Wireless Ad Hoc Networks
Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization
Exploiting The Laws of Order in Smart Contracts
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate
Lower Bounds and properties for the average number of colors in the non-equivalent colorings of a graph
HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks
LUNDIsim: model meshes for flow simulation and scientific data compression benchmarks
BiGS: Bidirectional Gaussian Primitives for Relightable 3D Gaussian Splatting
State Estimation-Based Robust Optimal Control of Influenza Epidemics in an Interactive Human Society
Below all subsets for Minimal Connected Dominating Set
Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data
New Benchmarks for Accountable Text-based Visual Re-creation
A Proof of the Front-Door Adjustment Formula
A Space-Efficient Dynamic Dictionary for Multisets with Constant Time Operations
Experimental validation of UAV search and detection system in real wilderness environment
Energy Efficient Transmitter Creation by Consuming Free Energy in Molecular Communication
AgentBalance: Backbone-then-Topology Design for Cost-Effective Multi-Agent Systems under Budget Constraints
HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis
Simple quadrature rules for a nonparametric nonconforming quadrilateral element
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization
Automatic Image Transformation for Inducing Affect
Agile Deliberation: Concept Deliberation for Subjective Visual Classification
Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing
Deep Learning for Deepfakes Creation and Detection
Active Search for High Recall: a Non-Stationary Extension of Thompson Sampling
Additive Schwarz methods for serendipity elements
Lai Loss: A Novel Loss for Gradient Control
Intrusion Detection Systems for Flying Ad-hoc Networks
Empowering Lightweight MLLMs with Reasoning via Long CoT SFT
Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages
Sequence-Length Requirement of Distance-Based Phylogeny Reconstruction: Breaking the Polynomial Barrier
Composite Cyclotomic Fourier Transforms with Reduced Complexities
KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations
Improving Network Efficiency by Removing Energy Holes in WSNs
NN-grams: Unifying neural network and n-gram language models for Speech Recognition
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization
Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
Large Language Models as Span Annotators
AlignDiff: Learning Physically-Grounded Camera Alignment via Diffusion
Safety Analysis for Laser-based Optical Wireless Communications: A Tutorial
MHER: Model-based Hindsight Experience Replay
Where do Large Vision-Language Models Look at when Answering Questions?
Fabricating Holiness: Characterizing Religious Misinformation Circulators on Arabic Social Media
Multilevel correction type of adaptive finite element method for Hartree-Fock equation
Distributionally Robust Feature Selection
Enhanced countering adversarial attacks via input denoising and feature restoring
Modelling hydrogen integration in energy system models: Best practices for policy insights
One-Shot Identity-Preserving Portrait Reenactment
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
Improved pseudorandom generators from pseudorandom multi-switching lemmas
Flow Graph-Based Classification of Defects4J Faults
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
Estimating Blink Probability for Highlight Detection in Figure Skating Videos
Fractional Order Hybrid Systems and Their Stability
VG3T: Visual Geometry Grounded Gaussian Transformer
An Overview of Causal Inference using Kernel Embeddings
Negative Pre-aware for Noisy Cross-modal Matching
Design And Modelling An Attack on Multiplexer Based Physical Unclonable Function
Combining Model and Parameter Uncertainty in Bayesian Neural Networks
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers
A high-order velocity-based discontinuous Galerkin scheme for the shallow water equations: local conservation, entropy stability, well-balanced property, and positivity preservation
An axiomatic study of objective functions for graph clustering
ARPA: A Novel Hybrid Model for Advancing Visual Word Disambiguation Using Large Language Models and Transformers
Analysis of Power-aware Buffering Schemes in Wireless Sensor Networks
SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection
An Object-Oriented Metamodel for Bunge-Wand-Weber Ontology
Learning a 3D Morphable Face Reflectance Model from Low-cost Data
covLLM: Large Language Models for COVID-19 Biomedical Literature
Meta-Learning Adversarial Bandits
Major Limitations of Satellite images
Cybernetic Interpretation of the Riemann Zeta Function
Distributed Query Processing Plans generation using Teacher Learner Based Optimization
Image Captioning in news report scenario
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
Towards a Fairer Non-negative Matrix Factorization
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency
A Comprehensive Review of Advancements in Powering and Charging Systems for Unmanned Aerial Vehicles
Robotic Process Automation - A Systematic Literature Review and Assessment Framework
TaoSearchEmb: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
Protect Against Unintentional Insider Threats: The risk of an employee's cyber misconduct on a Social Media Site
Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
Properties and Complexity of Fan-Planarity
Distance-Based Formation Tracking with Unknown Bounded Reference Velocities
Visilence: An Interactive Visualization Tool for Error Resilience Analysis
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
Towards a Complete Framework for Virtual Data Center Embedding
Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data
VeriStruct: AI-assisted Automated Verification of Data-Structure Modules in Verus
On the pseudorandomness of Parry-Bertrand automatic sequences
A Decentralized Mechanism for Computing Competitive Equilibria in Deregulated Electricity Markets
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery
Limiting the Spread of Fake News on Social Media Platforms by Evaluating Users' Trustworthiness
Optimal Handover Strategies in LEO Satellite Networks
Guilty Artificial Minds
Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker
A new front-tracking Lagrangian model for the modeling of dynamic and post-dynamic recrystallization
How many continuous measurements are needed to learn a vector?
U-Mamba2: Scaling State Space Models for Dental Anatomy Segmentation in CBCT
Coarse-to-Fine Searching for Efficient Generative Adversarial Networks
Deep Parametric Shape Predictions using Distance Fields
Approximating Subset Sum is equivalent to Min-Plus-Convolution
Tackling COVID-19 Infodemic using Deep Learning
Epidemic Spreading on Activity-Driven Networks with Attractiveness
Radial Basis Function Techniques for Neural Field Models on Surfaces
An integral equation method for closely interacting surfactant-covered droplets in wall-confined Stokes flow
Cyber Physical Systems: Prospects and Challenges
Hierarchical Planning and Scheduling for Reconfigurable Multi-Robot Disassembly Systems under Structural Constraints
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning
Impact of Artificial Intelligence on Electrical and Electronics Engineering Productivity in the Construction Industry
Bitcoin Address Clustering Method Based on Multiple Heuristic Conditions
The Isomorphism Relation Between Tree-Automatic Structures
The style transformer with common knowledge optimization for image-text retrieval
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
High Fidelity Noise-Tolerant State Preparation of a Heisenberg spin-1/2 Hamiltonian for the Kagome Lattice on a 16 Qubit Quantum Computer
Robust Task Clustering for Deep Many-Task Learning
Robust Mediators in Large Games
Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and Computing
Entrywise Approximate Matrix Inversion
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
The Engineering of a Scalable Multi-Site Communications System Utilizing Quantum Key Distribution (QKD)
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
Test cases as a measurement instrument in experimentation
Trust Challenges in Reusing Open Source Software: An Interview-based Initial Study
Statistical analysis of chess games: space control and tipping points
Detecting hierarchical and overlapping network communities using locally optimal modularity changes
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Trust and Reliance in XAI - Distinguishing Between Attitudinal and Behavioral Measures
Price of Anarchy for Revenue
Auto-active Verification of Floating-point Programs via Nonlinear Real Provers
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity
Sustainable Research Software Hand-Over
A Chain Rule for the Expected Suprema of Bernoulli Processes
Towards the Blockchain Massive Adoption with Permissionless Storage
Random Projection Neural Networks of Best Approximation: Convergence theory and practical applications
A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation
Reverse Engineering Code Dependencies: Converting Integer-Based Variability to Propositional Logic
InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography
Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection
Methodological Framework for Quantifying Semantic Test Coverage in RAG Systems
A3RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots
How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?
Review Mining for Feature Based Opinion Summarization and Visualization
ECG synthesis with Neural ODE and GAN models
Visual and textual prompts for enhancing emotion recognition in video
Are problems in Quantum Information Theory (un)decidable?
Random Access Concatenated Libraries and dd enable a short-latency high-content website on an inexpensive shared server
SyncTalk++: High-Fidelity and Efficient Synchronized Talking Heads Synthesis Using Gaussian Splatting
Latent Map Gaussian Processes for Mixed Variable Metamodeling
LiDAR Registration with Visual Foundation Models
Structured Prediction of Sequences and Trees using Infinite Contexts
Demonstrating Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics
Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything
Fractional Iterates and Oscillatory Convergence
Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues
The Internet Pendulum: On the periodicity of Internet Topology Measurements
Categorical Liveness Checking by Corecursive Algebras
ActorRL: A Novel Distributed Reinforcement Learning for Autonomous Intersection Management
A Causal Lens for Evaluating Faithfulness Metrics
Privacy-aware Gaussian Process Regression
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems
Formal Modeling and Verification of Publisher-Subscriber Paradigm in ROS 2
Is the Lecture Engaging for Learning? Lecture Voice Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System
Traffic Differentiation in Dense Collision-free WLANs
Finite difference schemes for Hamilton-Jacobi equation on Wasserstein space on graphs
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale
Phylogenetic Convolutional Neural Networks in Metagenomics
∇NABLA: Neighborhood Adaptive Block-Level Attention
Responsibility Management through Responsibility Networks
Similarity Downselection: A Python implementation of a heuristic search algorithm for finding the set of the n most dissimilar items with an application in conformer sampling
Generalizing cyclomatic complexity via path homology
BTPK-based learning: An Interpretable Method for Named Entity Recognition
Character-level Transformer-based Neural Machine Translation
On-line Handwritten Devanagari Character Recognition using Fuzzy Directional Features
An Empirical Study of Scaling Laws for Transfer
Message Authentication and Secret Key Agreement in VANETs via Angle of Arrival