yusuke1997/dblp-id-title huggingface dataset:
DEMI: Discriminative Estimator of Mutual Information
High-speed multiwavelength photonic temporal integration using silicon photonics
The Moral Foundations Weibo Corpus
Homomorphisms Are a Good Basis for Counting Small Subgraphs
Contextual Bandits for Evaluating and Improving Inventory Control Policies
USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents
Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing
A doubly composite Chernoff-Stein lemma and its applications
PRINS: Scalable Model Inference for Component-based System Logs
Distribution Steering for Discrete-Time Uncertain Ensemble Systems
Whale Optimization Based Energy-Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD
The 4D Human Embryonic Brain Atlas: spatiotemporal atlas generation for rapid anatomical changes using first-trimester ultrasound from the Rotterdam Periconceptional Cohort
On the Modeling and Performance Assessment of Random Access with SIC
Efficient Sensor Fault Detection Using Group Testing
Hybrid Method of Moments and Generalized Scattering Matrix: Applications to Antennas in Radomes, Reflectors, and Implantable Media
Coevolutionary networks of reinforcement-learning agents
Neural network feedback controller for inertial platform
Sparse tensor recovery via N-mode FISTA with support augmentation
Mathematical Models of Radicalization and Terrorism
Prediction method of Soundscape Impressions using Environmental Sounds and Aerial Photographs
The Schützenberger product for syntactic spaces
A variational approach to the analysis of the continuous space-time FEM for the wave equation
The Target-Charging Technique for Privacy Accounting across Interactive Computations
A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)
The mechanization of science illustrated by the Lean formalization of the multi-graded Proj construction
Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm
Election Control with Voters' Uncertainty: Hardness and Approximation Results
Rerailing Automata
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
A higher order numerical method for singularly perturbed elliptic problems with characteristic boundary layers
Human-like Working Memory from Artificial Intrinsic Plasticity Neurons
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
HMVLM: Human Motion-Vision-Lanuage Model via MoE LoRA
Proposing a Localized Relevance Vector Machine for Pattern Classification
Optimal Relay Probing in Millimeter Wave Cellular Systems with Device-to-Device Relaying
A Tensor-Product Finite Element Cochain Complex with Arbitrary Continuity
Counting and localizing defective nodes by Boolean network tomography
A Monadic Formalization of ML5
Flow Matching for Accelerated Simulation of Atomic Transport in Materials
Minimal Binary Linear Codes from Vectorial Boolean Functions
New algorithms for girth and cycle detection
Diabetes Lifestyle Medicine Treatment Assistance Using Reinforcement Learning
Digital-analog quantum learning on Rydberg atom arrays
Social Determinants of Recidivism: A Machine Learning Solution
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders
Unsupervised Representation Learning of Complex Time Series for Maneuverability State Identification in Smart Mobility
Image Question Answering: A Visual Semantic Embedding Model and a New Dataset
Laser Pulse Duration Optimization With Numerical Methods
Describing A Cyclic Code by Another Cyclic Code
BuildArena: A Physics-Aligned Interactive Benchmark of LLMs for Engineering Construction
Designing Sound Collaboratively - Perceptually Motivated Audio Synthesis
HGCA: Hybrid GPU-CPU Attention for Long Context LLM Inference
A Techno-Economic Cost Framework for Satellite Networks Applied to Low Earth Orbit Constellations: Assessing Starlink, OneWeb and Kuiper
Panda: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations
Natural Language Interaction to Facilitate Mental Models of Remote Robots
A Business Intelligence Model to Predict Bankruptcy using Financial Domain Ontology with Association Rule Mining Algorithm
On the Uplink Transmission of Multi-user Extra-large Scale Massive MIMO Systems
A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval
Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm
Interpret the Internal States of Recommendation Model with Sparse Autoencoder
On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks
No Free Lunch for Defending Against Prefilling Attack by In-Context Learning
Collaborative Regret Minimization in Multi-Armed Bandits
Architectural Techniques to Enable Reliable and Scalable Memory Systems
Sistem Informasi Geografis Potensi Wilayah Kabupaten Banyuasin Berbasis Web
The Impact of Working From Home on the Success of Scrum Projects: A Multi-Method Study
A Conditional Diffusion Model for Building Energy Modeling Workflows
Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
Cultural Dimensions of Artificial Intelligence Adoption: Empirical Insights for Wave 1 from a Multinational Longitudinal Pilot Study
Reinforcement Learning-based Threat Assessment
Neural Networks as Universal Finite-State Machines: A Constructive Deterministic Finite Automaton Theory
On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis
Reachability and Safety Games under TSO Semantics (Extended Version)
On $(P_5,\bar{P_5})$-sparse graphs and other families
Risk Analysis of Flowlines in the Oil and Gas Sector: A GIS and Machine Learning Approach
Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training
SoK: Machine Learning with Confidential Computing
A Robust Scheme for 3D Point Cloud Copy Detection
Beyond Hirsch Conjecture: walks on random polytopes and smoothed complexity of the simplex method
Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis
Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
Proximal Approximate Inference in State-Space Models
Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection
Computation Load Balancing Real-Time Model Predictive Control in Urban Traffic Networks
The Pareto Record Frontier
On the Comparison between Cyclic Sampling and Random Reshuffling
Statistical Complexity and Fisher-Shannon Information. Applications
Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators
Search Algorithms for Automated Hyper-Parameter Tuning
An Output Feedback Stabilizer for MIMO Nonlinear Systems with Uncertain Input Gain: Nonlinear Nominal Model
A multiobjective Tabu framework for the optimization and evaluation of wireless systems
HYDRA: HYbrid knowledge Distillation and spectral Reconstruction Algorithm for high channel hyperspectral camera applications
A discrete event simulator for policy evaluation in liver allocation in Eurotransplant
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
Aspects of Multi-Dimensional Modelling of Substellar Atmospheres
Context Steering: A New Paradigm for Compression-based Embeddings by Synthesizing Relevant Information Features
Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion
High Level Synthesis Implementation of a Three-dimensional Systolic Array Architecture for Matrix Multiplications on Intel Stratix 10 FPGAs
A Non-cooperative Differential Game Model for Frequency Reuse based Channel Allocation in Satellite Networks
Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
Speech-Declipping Transformer with Complex Spectrogram and Learnerble Temporal Features
Omni-Mol: Exploring Universal Convergent Space for Omni-Molecular Tasks
Link Prediction via Generalized Coupled Tensor Factorisation
Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
Recognize then Resolve: A Hybrid Framework for Understanding Interaction and Cooperative Conflict Resolution in Mixed Traffic
Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation
Theoretically Guaranteed Distribution Adaptable Learning
Assessing and Supplying the Health of Videos Games via Formal Semantics
Minimizing The Expected Distortion Using Multi-layer Coding Approach In Two-Hop Networks
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision
Enhancing Omics Cohort Discovery for Research on Neurodegeneration through Ontology-Augmented Embedding Models
Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead
Assessing GPTZero's Accuracy in Identifying AI vs. Human-Written Essays
ThermSense: Smartphone-based Breathing Sensing Platform using Noncontact Low-Cost Thermal Camera
Efficient Traffic Control of VoD System
Subspace Segmentation by Successive Approximations: A Method for Low-Rank and High-Rank Data with Missing Entries
Receive Antenna Selection for Secure Pre-coding Aided Spatial Modulation
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Buying Privacy: User Perceptions of Privacy Threats from Mobile Apps
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
Fully-Dynamic Bin Packing with Limited Repacking
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar
Ask Again, Then Fail: Large Language Models' Vacillations in Judgement
Generative AI in Mafia-like Game Simulation
EpidermaQuant: Unsupervised detection and quantification of epidermal differentiation markers on H-DAB-stained images of reconstructed human epidermis
Training Variational Quantum Circuits Using Particle Swarm Optimization
A mathematical approach to resilience
Evaluation of the power frequency magnetic field generated by three-core armored cables through 3D finite element simulations
Optimizing Model Selection for Compound AI Systems
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
Inapproximability of Maximum Biclique Problems, Minimum $k$-Cut and Densest At-Least-$k$-Subgraph from the Small Set Expansion Hypothesis
CupNet - Pruning a network for geometric data
A Trust and Reputation System for IoT Exploiting Distributed Ledger Technology
A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
Practical Differential Privacy for SQL Queries Using Elastic Sensitivity
Three-Dimensional Channel Modeling for Molecular Communications in Tubular Environments with Heterogeneous Boundary Conditions
Meta-Value Learning: a General Framework for Learning with Learning Awareness
Element-Saving Hexahedral 3-Refinement Templates
Model Predictive Control for Finite Input Systems using the D-Wave Quantum Annealer
Voyager: An End-to-End Framework for Design-Space Exploration and Generation of DNN Accelerators
Joint Detection and Localization of an Unknown Number of Sources Using Algebraic Structure of the Noise Subspace
Grid Data Management in Action: Experience in Running and Supporting Data Management Services in the EU DataGrid Project
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
Stair Climbing using the Angular Momentum Linear Inverted Pendulum Model and Model Predictive Control
The Amazing Power of Randomness: NP=RP
Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from a Single 2D Image
Bayesian Active Learning With Abstention Feedbacks
Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions
SpatialTouch: Exploring Spatial Data Visualizations in Cross-reality
Entangled Schrödinger Bridge Matching
L-STEC: Learned Video Compression with Long-term Spatio-Temporal Enhanced Context
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective
Online Connected Dominating Set Leasing
Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving
Zak-OTFS for Identification of Linear Time-Varying Systems
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
DiMeR: Disentangled Mesh Reconstruction Model
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward
Multitask diffusion adaptation over networks with common latent representations
Unary Primitive Recursive Functions
Error Estimates for a Linearized Fractional Crank-Nicolson FEM for Kirchhoff type Quasilinear Subdiffusion Equation with Memory
Transductive Zero-Shot Learning using Cross-Modal CycleGAN
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imagery
Terrain-Enhanced Resolution-aware Refinement Attention for Off-Road Segmentation
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations
A Budget Feasible Peer Graded Mechanism For IoT-Based Crowdsourcing
A Location-Based Movie Recommender System Using Collaborative Filtering
FedGAI: Federated Style Learning with Cloud-Edge Collaboration for Generative AI in Fashion Design
Burnt area extraction from high-resolution satellite images based on anomaly detection
FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling
Block Diagonalization of Quaternion Circulant Matrices with Applications to Quaternion Tensor Singular Value Decomposition
Fairshare Data Pricing for Large Language Models
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Learning High-Dimensional Mixtures of Graphical Models
Manifold Clustering with Schatten p-norm Maximization
Boltzmann Samplers for Colored Combinatorial Objects
Even shorter proofs without new variables
Retrieval-augmented Generation for GenAI-enabled Semantic Communications
The Development and Prospect of Code Clone
Clipping over dissipation in turbulence models
Toward hyper-adaptive AI-enabled 6G networks for energy efficiency: techniques, classifications and tradeoffs
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations
A Note on a Communication Game
Lower Dimensional Kernels for Video Discriminators
Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning
Inferring community structure in attributed hypergraphs using stochastic block models
Assessing the Precision and Recall of msTALI as Applied to an Active-Site Study on Fold Families
Generalizing from a few environments in safety-critical reinforcement learning
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion
Autonomous bot with ML-based reactive navigation for indoor environment
Recycling MMGKS for large-scale dynamic and streaming data
Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition
Taming Wild Branches: Overcoming Hard-to-Predict Branches using the Bullseye Predictor
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
Recent Advances in Model-Based Fault Diagnosis for Lithium-Ion Batteries: A Comprehensive Review
HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens
Locally Repairable Codes and Matroid Theory
Structural time series grammar over variable blocks
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence
Connect the dots: Dataset Condensation, Differential Privacy, and Adversarial Uncertainty
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
Exploring Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet B7 for Improved Classification
Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild
Reasoning about Algebraic Data Types with Abstractions
"Principal Components" Enable A New Language of Images
Prompt Optimisation with Random Sampling
Domain Theory: An Introduction
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
Continual learning autoencoder training for a particle-in-cell simulation via streaming
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement Learning
Learning the Delay Using Neural Delay Differential Equations
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery
Analytical Derivatives for Efficient Mechanical Simulations of Hybrid Soft Rigid Robots
Verifying generalised and structural soundness of workflow nets via relaxations
Non-monetary fair scheduling --- cooperative game theory approach
ARCO:Adaptive Multi-Agent Reinforcement Learning-Based Hardware/Software Co-Optimization Compiler for Improved Performance in DNN Accelerator Design
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels
Image enhancement using fusion by wavelet transform and laplacian pyramid
Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarks
Semantic-Driven Initial Image Construction for Guided Image Synthesis in Diffusion Model
Guided Discrete Diffusion for Constraint Satisfaction Problems
Deep learning-based super-resolution in coherent imaging systems
Extended High Utility Pattern Mining: An Answer Set Programming Based Framework and Applications
PASA: A Priori Adaptive Splitting Algorithm for the Split Delivery Vehicle Routing Problem
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning
A New Dynamical Domain Decomposition Method for Parallel Molecular Dynamics Simulation on Grid
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System
PlanAlyzer: Assessing Threats to the Validity of Online Experiments
Cyber Security Requirements for Platforms Enhancing AI Reproducibility
Is Your Text-to-Image Model Robust to Caption Noise?
Keyphrase Prediction With Pre-trained Language Model
A Higher-Order Abstract Syntax Approach to the Verified Compilation of Functional Programs
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Security Issues on Cloud Computing
Encircling General 2-D Boundaries by Mobile Robots with Collision Avoidance: A Vector Field Guided Approach
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
A Boosting Method to Face Image Super-resolution
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition
Efficient Generation of Multimodal Fluid Simulation Data
Aggregating Algorithm for Prediction of Packs
The rank of random matrices over finite fields
Improving LLM-Based Fault Localization with External Memory and Project Context
Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning
A Deterministic Algorithm for the Discrete Logarithm Problem in a Semigroup
Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks
Anomalous Contagion and Renormalization in Dynamical Networks with Nodal Mobility
Error estimates for a bilinear optimal control problem of Maxwell's equations
Traffic-aware Gateway Placement and Queue Management in Flying Networks
Development and Testing of a Vine Robot for Urban Search and Rescue in Confined Rubble Environments
SumQE: a BERT-based Summary Quality Estimation Model
A Heuristic Method to Generate Better Initial Population for Evolutionary Methods
DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery
Rethinking Dialogue State Tracking with Reasoning
DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
Computing rational beliefs under limited foresight
Safe and Efficient Trajectory Optimization for Autonomous Vehicles using B-spline with Incremental Path Flattening
Enhancing Reinforcement learning in 3-Dimensional Hydrophobic-Polar Protein Folding Model with Attention-based layers
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution
Jordan Normal and Rational Normal Form Algorithms
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
OmniPlantSeg: Species Agnostic 3D Point Cloud Organ Segmentation for High-Resolution Plant Phenotyping Across Modalities
Optimizing MGRIT and Parareal coarse-grid operators for linear advection
Few-shot Anomaly Detection in Text with Deviation Learning
Unique Rashomon Sets for Robust Active Learning
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving
Influence of Reviewer Interaction Network on Long-term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics
RISC-V V Vector Extension (RVV) with reduced number of vector registers
In Search of Metrics to Guide Developer-Based Refactoring Recommendations
Mobile Sequencers
Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing
VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks
Denoising Distillation Makes Event-Frame Transformers as Accurate Gaze Trackers
Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search
What social media told about us in the time of COVID-19: a scoping review
A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks
AisLSM: Revolutionizing the Compaction with Asynchronous I/Os for LSM-tree
Distillation Improves Visual Place Recognition for Low-Quality Queries
Fact sheet: Automatic Self-Reported Personality Recognition Track
Instruction sequence based non-uniform complexity classes
Science Communications for Explainable Artificial Intelligence
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans
Multi-cell Edge Coverage Enhancement Using Mobile UAV-Relay
Study of Distributed Robust Beamforming with Low-Rank and Cross-Correlation Techniques
Estimation of Fireproof Structure Class and Construction Year for Disaster Risk Assessment
Monitoring Hyperproperties over Observed and Constructed Traces
Non-local Neural Networks
SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation
Spectrally Grouped Total Variation Reconstruction for Scatter Imaging Using ADMM
A fast mesh-free boundary integral method for two-phase flow with soluble surfactant
Identity Prove Limited Information Governance Policy against cyber security persistent threats