yusuke1997/dblp-id-title huggingface dataset:
AI-Augmented OTDR Fault Localization Framework for Resilient Rural Fiber Networks in the United States
Tensor train solution to uncertain optimization problems with shared sparsity penalty
Computational Study of Ultrathin CNT Films with the Scalable Mesoscopic Distinct Element Method
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach
Decentralized Distributed Graph Coloring II: degree+1-Coloring Virtual Graphs
KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment
Toward a Category Theory Design of Ontological Knowledge Bases
FairFlow: Mitigating Dataset Biases through Undecided Learning
A numerical scheme for stochastic differential equations with distributional drift
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators
Large-Scale Evaluation of Open-Set Image Classification Techniques
A fast exact simulation algorithm for a class of Markov jump processes
Review of Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data
Multiple-criteria Heuristic Rating Estimation
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Accelerating AI Performance using Anderson Extrapolation on GPUs
Speech ReaLLM - Real-time Streaming Speech Recognition with Multimodal LLMs by Teaching the Flow of Time
HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images
Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses
A Traffic Prediction-Based Individualized Driver Warning System to Reduce Red Light Violations
Reinforcement Learning of Contextual MDPs using Spectral Methods
GQA: a new dataset for compositional question answering over real-world images
Hermite-Gaussian model for quantum states
Characterization of input-to-output stability for infinite dimensional systems
Algebraic multigrid methods for saddle point systems arising from mortar contact formulations
Handling Higher-Order Effects
AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures
Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
An adjustable-width window with good dynamic range
MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network
An Active Perception Game for Robust Autonomous Exploration
Temporal network sparsity and the slowing down of spreading
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
Automatic annotation of bioinformatics workflows with biomedical ontologies
Self++: Merging Human and AI for Co-Determined XR Living in the Metaverse
Controllable Complementarity: Subjective Preferences in Human-AI Collaboration
Hot-pressing process modeling for medium density fiberboard (MDF)
Explainable AI in Big Data Fraud Detection
Cost-Driven Ontology-Based Data Access (Extended Version)
Autonomous LLM-driven research from data to human-verifiable research papers
Do Scaling Agile Frameworks Address Global Software Development Risks? An Empirical Study
Approximation Power of Deep Neural Networks: an explanatory mathematical survey
PU-GAN: a Point Cloud Upsampling Adversarial Network
General Video Game AI: Learning from Screen Capture
Perception-driven sparse graphs for optimal motion planning
Global optimization framework for real-time route guidance via variable message sign
Unrestricted Global Phase Bias-Aware Single-channel Speech Enhancement with Conformer-based Metric GAN
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery
Distributed saddle point problems for strongly concave-convex functions
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Online Contention Resolution Schemes for Network Revenue Management and Combinatorial Auctions
client2vec: Towards Systematic Baselines for Banking Applications
Generalization and Overfitting in Matrix Product State Machine Learning Architectures
Compress-and-Forward via Multilevel Coding and Trellis Coded Quantization
Processing of large sets of stochastic signals: filtering based on piecewise interpolation technique
Platforms as Crime Scene, Judge, and Jury: How Victim-Survivors of Non-Consensual Intimate Imagery Report Abuse Online
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
VEGA: Towards an End-to-End Configurable AutoML Pipeline
The Generalized Subterm Criterion in TTT2
The computational landscape of permutation patterns
Two-Stage Boost Inverter for Wave Energy Conversion
Reasoning for Complex Data through Ensemble-based Self-Supervised Learning
Superiorization: An optimization heuristic for medical physics
Relative-error stability of numerical algorithms
New Cardinality Estimation Methods for HyperLogLog Sketches
MS-TVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Dynamic Convolution
Speech Representation Analysis based on Inter- and Intra-Model Similarities
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers
Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
Collaborative Learning as an Agreement Problem
Optimal Siting and Sizing of Energy Storage Systems in Active Distribution Networks to achieve their Dispatchability
Neural language models for text classification in evidence-based medicine
Algebraic characterization of temporal logics on forests
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Spectral Efficiency of Multiple Access Fading Channels with Adaptive Interference Cancellation
From Projection to Prediction: Beyond Logits for Scalable Language Models
A Rosenbrock framework for tangential interpolation of port-Hamiltonian descriptor systems
On the expressive power of non-deterministic and unambiguous Petri nets over infinite words
Interpretive Efficiency: Information-Geometric Foundations of Data Usefulness
Cost Efficient Design of Reversible Adder Circuits for Low Power Applications
Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation
Discrete Entropy Power Inequalities via Sperner Theory
Joint alignment of multiple protein-protein interaction networks via convex optimization
Stability and Delay of Zero-Forcing SDMA with Limited Feedback
Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
Bounded-Rate Multi-Mode Systems Based Motion Planning
Multi-Region Matrix Interpolation for Dynamic Analysis of Aperiodic Structures under Large Model Parameter Perturbations
Tactile Neural De-rendering
Asynchronous Decentralized 20 Questions for Adaptive Search
Automated Inference of Past Action Instances in Digital Investigations
Goal-Driven Query Answering over First- and Second-Order Dependencies with Equality
Multimodal Classification of Teaching Activities from University Lecture Recordings
Outlier Detection in Large Radiological Datasets using UMAP
Between Copyright and Computer Science: The Law and Ethics of Generative AI
Optimal Resource Allocation for Network Protection: A Geometric Programming Approach
GesturePrint: Enabling User Identification for mmWave-based Gesture Recognition Systems
Examining Needs and Opportunities for Supporting Students Who Experience Discrimination
Forget-free Continual Learning with Soft-Winning SubNetworks
Ergodic capacity evaluation of wireless THz fiber extenders
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models
New wrapper method based on normalized mutual information for dimension reduction and classification of hyperspectral images
Spacetime Autoencoders Using Local Causal States
Toolbox for Developing Physics Informed Neural Networks for Power Systems Components
Context-aware Cascade Attention-based RNN for Video Emotion Recognition
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning
MNL-Bandit in non-stationary environments
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
Towards Healthy AI: Large Language Models Need Therapists Too
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop
An Efficient Indoor Navigation Technique To Find Optimal Route For Blinds Using QR Codes
Krasovskii Passivity for Sampled-data Stabilization and Output Consensus
Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks
AZRA: Extending the Affective Capabilities of Zoomorphic Robots using Augmented Reality
Preserving background sound in noise-robust voice conversion via multi-task learning
Deep Clustering using Auto-Clustering Output Layer
Fighting deepfakes by detecting GAN DCT anomalies
RoRecomp: Enhancing Reasoning Efficiency via Rollout Response Recomposition in Reinforcement Learning
Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation
Policy Gradient Method for LQG Control via Input-Output-History Representation: Convergence to O(ε)-Stationary Points
How visual discomfort changes with horizontal viewing angle on stereoscopic display
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing
Probabilistic Gathering Of Agents With Simple Sensors
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
Relax, Tensors Are Here: Dependencies in International Processes
Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
A Computational Pipeline for Patient-Specific Modeling of Thoracic Aortic Aneurysm: From Medical Image to Finite Element Analysis
SurgMAE: Masked Autoencoders for Long Surgical Video Analysis
Detecting Short Reset Words Parameterized by Number of States
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
MSCoRe: A Benchmark for Multi-Stage Collaborative Reasoning in LLM Agents
The Partition Weight Enumerator of MDS Codes and its Applications
Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
DualView: Data Attribution from the Dual Perspective
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge
Scalability of High-Performance PDE Solvers
Massively parallel CMA-ES with increasing population
Feature Hashing for Large Scale Multitask Learning
Automatic Generation of Language-Independent Features for Cross-Lingual Classification
Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference
A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves
Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
Girth-reducibility and the algorithmic barrier for coloring
Bridging Perception and Planning: Towards End-to-End Planning for Signal Temporal Logic Tasks
Weighted Mean Curvature
MIVE: New Design and Benchmark for Multi-Instance Video Editing
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Partial Observability during DRL for Robot Control
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
Estimation Algorithm Non-Stationary Frequency of the Sinusoidal Signal
Visual Exploration and Knowledge Discovery from Biomedical Dark Data
A Confidence Interval for the ℓ 2 Expected Calibration Error
Optimal sequential fingerprinting: Wald vs. Tardos
Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling
Recommender Systems by means of Information Retrieval
Generalized Few-Shot Object Detection without Forgetting
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training
Co-Designing Multimodal Systems for Accessible Asynchronous Dance Instruction
Polymonadic Programming
Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
Planted matching problems on random hypergraphs
GeoTravel: Harvesting Ambient Geographic Footprints from GPS Trajectories
A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials
A Two-Sided Quaternion Higher-Order Singular Value Decomposition
Design and Analysis of Massive Uncoupled Unsourced Random Access with Bayesian Joint Decoding
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
Mod-DeepESN: Modular Deep Echo State Network
There is no Reliable Way to Detect Hacked Ballot-Marking Devices
Decomposing Prediction Mechanisms for In-Context Recall
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
SWEnergy: An Empirical Study on Energy Efficiency in Agentic Issue Resolution Frameworks with SLMs
Active Learning with Multiple Kernels
Constant Approximation for k-Median and k-Means with Outliers via Iterative Rounding
Simultaneous state estimation and control for nonlinear systems subject to bounded disturbances
Safe Predictors for Enforcing Input-Output Specifications
Royal Reveals: LiDAR Mapping of Kronborg Castle, Echoes of Hamlet's Halls
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance
Pathology Segmentation using Distributional Differences to Images of Healthy Origin
The Stochastic Logarithmic Norm for Stability Analysis of Stochastic Differential Equations
A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates
Distributed Compressive Sensing
The LHCb ultra-fast simulation option, Lamarr: design and validation
PUREsuggest: Citation-based Literature Search and Visual Exploration with Keyword-controlled Rankings
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups
Towards Cross-domain Few-shot Graph Anomaly Detection
Semi-supervised t-SNE for Millimeter-wave Wireless Localization
Analytical Derivation and Comparison of Alarm Similarity Analysis Methods
Deep Learning for Medical Image Segmentation with Imprecise Annotation
Warning: Humans Cannot Reliably Detect Speech Deepfakes
Asteroids Detection Technique: Classic "Blink" An Automated Approch
Randomized Exploration is Near-Optimal for Tabular MDP
Why do AI agents communicate in human language?
RoLoMa: Robust Loco-Manipulation for Quadruped Robots with Arms
Source Coding with a Side Information "Vending Machine"
Multi-user Communication Networks: A Coordinated Multi-armed Bandit Approach
Efficient ConvNets for Analog Arrays
Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
Min (A)cyclic Feedback Vertex Sets and Min Ones Monotone 3-SAT
Wireless Sensing of Temperature, Strain and Crack Growth in 3D-Printed Metal Structures via Magnetoelastic and Thermomagnetic Inclusions
Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms
Approximate counting of permutation patterns
Cost-Recovering Bayesian Algorithmic Mechanism Design
Surrogate assisted active subspace and active subspace assisted surrogate - A new paradigm for high dimensional structural reliability analysis
A Knowledge Representation Approach to Automated Mathematical Modelling
Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scale
Protein Folding with Neural Ordinary Differential Equations
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Three representations of the fractional p-Laplacian: semigroup, extension and Balakrishnan formulas
Symbolic quantum programming for supporting applications of quantum computing technologies
Circuit proposition for copying the value of a resistor into a memristive device supported by HSPICE simulation
Physically-Feasible Reactive Synthesis for Terrain-Adaptive Locomotion
Vehicle Routing Problem with Vector Profits (VRPVP) with Max-Min Criterion
RFUniverse: A Physics-based Action-centric Interactive Environment for Everyday Household Tasks
Generative Query Reformulation for Effective Adhoc Search
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches
Gaussian limits for multidimensional random sequential packing at saturation (extended version)
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
Wavenumber-explicit hp-FEM analysis for Maxwell's equations with impedance boundary conditions
Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?
Enhancing Knowledge Transfer in Hyperspectral Image Classification via Cross-scene Knowledge Integration
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models
SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech
Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability
Equivariant Flows: exact likelihood generative learning for symmetric densities
The substantive and practical significance of citation impact differences between institutions: Guidelines for the analysis of percentiles using effect sizes and confidence intervals
Learning a Latent Simplex in Input-Sparsity Time
Neural equilibria for long-term prediction of nonlinear conservation laws
Attractors of Parikh mapping iterations
Transfinite game values in infinite draughts
Estimating the Effects of Sample Training Orders for Large Language Models without Retraining
Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
An Approach to Parameterized Resiliency Problems Using Integer Linear Programming
Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank
Causal Operator Discovery in Partial Differential Equations via Counterfactual Physics-Informed Neural Networks
SiMpLIfy: A Toolbox for Structured Model Reduction
UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation
Modeling sequences and temporal networks with dynamic community structures
From Assistance to Autonomy - A Researcher Study on the Potential of AI Support for Qualitative Data Analysis
Improvements of the 3D images captured with Time-of-Flight cameras
A Simulation Study of Functional Electrical Stimulation for An Upper Limb Rehabilitation Robot using Iterative Learning Control (ILC) and Linear models
CyberMoraba: A game-based approach enhancing cybersecurity awareness
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Lipschitz Selectors may not Yield Competitive Algorithms for Convex Body Chasing
On the closed-form solution of the rotation matrix arising in computer vision problems
Formation Control for Multi-Agent Systems with Connectivity Preservation and Event-Triggered Controllers
Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning
On the Optimal Boolean Function for Prediction under Quadratic Loss
Uniformly sampling graphs with self-loops and a given degree sequence
Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming
Safety Enhancement in Planetary Rovers: Early Detection of Tip-over Risks Using Autoencoders
A Novel Approach to Document Classification using WordNet
SIDME: Self-supervised Image Demoiréing via Masked Encoder-Decoder Reconstruction
ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis
On the convergence of Broyden's method and some accelerated schemes for singular problems
List-Decodable Regression via Expander Sketching
On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks?
On the Completeness and Complexity of the Lifted Dynamic Junction Tree Algorithm
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis
MiniBEE: A New Form Factor for Compact Bimanual Dexterity
Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning
BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield images
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation
GAF: Gaussian Action Field as a Dynamic World Model for Robotic Manipulation
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
Integrating Material Selection with Design Optimization via Neural Networks
PRISMe: A Novel LLM-Powered Tool for Interactive Privacy Policy Assessment
Intuitive visualization of the intelligence for the run-down of terrorist wire-pullers
ZTBus: A Dataset of 1000+ Complete, Second-Resolved Driving Missions of Inner-City Transit Buses
hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images
Assessing effect sizes, variability, and power in the on-line study of language production
AnoML-IoT: An End to End Re-configurable Multi-protocol Anomaly Detection Pipeline for Internet of Things
Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection
Rank diversity of languages: Generic behavior in computational linguistics
FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design
Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety
A Bayesian Two-part Hurdle Quantile Regression Model for Citation Analysis
Delay Minimization for Hybrid BAC-NOMA Offloading in MEC Networks
Towards Long-window Anchoring in Vision-Language Model Distillation
Scalable and Programmable Look-Up Table based Neural Acceleration (LUT-NA) for Extreme Energy Efficiency
A Continuum Theory for Unstructured Mesh Generation in Two Dimensions
ChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems
SALTED: A Framework for SAlient Long-Tail Translation Error Detection
Image Vectorization: a Review
Yes, DLGM! A novel hierarchical model for hazard classification
Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors
Systematic Literature Review of AI-enabled Spectrum Management in 6G and Future Networks
A Reliable Link-adaptive Position-based Routing Protocol for Flying Ad hoc Network