yusuke1997/dblp-id-title huggingface dataset:
Fault tolerant reversible logic synthesis: Carry look-ahead and carry-skip adders
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video
Stochastic Hyperparameter Optimization through Hypernetworks
HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations
ViSTR-GP: Online Cyberattack Detection via Vision-to-State Tensor Regression and Gaussian Processes in Automated Robotic Operations
Decoding The Digital Fuku: Deciphering Colonial Legacies to Critically Assess ChatGPT in Dominican Education
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
Ensuring domain consistency in an adaptive framework with distributed topology for fluid flow simulations
On Performance of Logical-Clustering Of Flow-Sensors
Organizing the Aggregate: Languages for Spatial Computing
Lightweight Monte Carlo Algorithm for Markov Decision Processes
Two Answers to a Common Question on Diagonalization
OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data
GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability
Data refinement for true concurrency
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity
EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling
Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimization
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning
Flow Matching at Scale: A Machine Learning Framework for Efficient Large-Size Sampling of Many-Body Systems
Enhanced forecasting of stock prices based on variational mode decomposition, PatchTST, and adaptive scale-weighted layer
A New Dataset and Methodology for Malicious URL Classification
Strings And Colorings Of Topological Coding Towards Asymmetric Topology Cryptography
Modeling self-organized systems interacting with few individuals: from microscopic to macroscopic dynamics
Integrating Physics-Based Modeling with Machine Learning: A Survey
Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models
SEAM: A Stochastic Benchmark for Multi-Document Tasks
On Enhancing Delay SLAs in TCP Networks through Joint Routing and Transport Assistant Deployment
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration
Reconstruction of Sound Field through Diffusion Models
From 5G to 6G: Revolutionizing Satellite Networks through TRANTOR Foundation
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
On Quantified Modal Theorem Proving for Modeling Ethics
Generalization Error of the Tilted Empirical Risk
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback
OpenTripPlanner, OpenStreetMap, General Transit Feed Specification: Tools for Disaster Relief and Recovery
Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
The Better Solution Probability Metric: Optimizing QAOA to Outperform its Warm-Start Solution
Matched sample selection with GANs for mitigating attribute confounding
Summary-Mediated Repair: Can LLMs use code summarisation as a tool for program repair?
A modeling and simulation study of anaerobic digestion in plug-flow reactors
Streaming PTAS for Binary 𝓁 0 -Low Rank Approximation
A New Self-Stabilizing Maximal Matching Algorithm
Key to Network Controllability
Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles
Some Theoretical Properties of a Network of Discretely Firing Neurons
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction
Topology Discovery Using Path Interference
Extract and Merge: Merging extracted humans from different images utilizing Mask R-CNN
Universal Meshes: A new paradigm for computing with nonconforming triangulations
A Thermodynamically Consistent Fractional Visco-Elasto-Plastic Model with Memory-Dependent Damage for Anomalous Materials
Autoregressive Belief Propagation for Decoding Block Codes
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
Embedded Safety-Aligned Intelligence via Differentiable Internal Alignment Embeddings
Numerical Analysis of Unsupervised Learning Approaches for Parameter Identification in PDEs
COMMET: A System for Human-Induced Conflicts in Mobile Manipulation of Everyday Tasks
Zames-Falb Multipliers: don't panic
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures
Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation
An Adaptive System for Wearable Devices to Detect Stress Using Physiological Signals
Higher education assessment practice in the era of generative AI tools
SADA: Safe and Adaptive Inference with Multiple Black-Box Predictions
Self-Stabilizing Balancing Algorithm for Containment-Based Trees
Manifold Gaussian Processes for Regression
Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes
Color Blending in Outdoor Optical See-through AR: The Effect of Real-world Backgrounds on User Interface Color
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Zero-shot Classification using Hyperdimensional Computing
Stratification and enumeration of Boolean functions by canalizing depth
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting
ISO-Bench: Benchmarking Multimodal Causal Reasoning in Visual-Language Models through Procedural Plans
Wind power ramp prediction algorithm based on wavelet deep belief network
A recursive divide-and-conquer approach for sparse principal component analysis
Pyramid-Driven Alignment: Pyramid Principle Guided Integration of Large Language Models and Knowledge Graphs
Ensembles of Quantum Classifiers
Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels
Building LLM Agents by Incorporating Insights from Computer Systems
On The Achievable Rate Region of a New Wiretap Channel With Side Information
Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
PhyloGrid: a development for a workflow in Phylogeny
Neuromorphic Computing with Multi-Frequency Oscillations: A Bio-Inspired Approach to Artificial Intelligence
A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges
PreResQ-R1: Towards Fine-Grained Rank-and-Score Reinforcement Learning for Visual Quality Assessment via Preference-Response Disentangled Policy Optimization
Anthropic decision theory
A Novel Generative Neural Approach for InSAR Joint Phase Filtering and Coherence Estimation
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training
Reconciler: A Workflow for Certifying Computational Research Reproducibility
The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist
Data Stream Classification using Random Feature Functions and Novel Method Combinations
Accelerated Training through Iterative Gradient Propagation Along the Residual Path
Graph Partitioning With Limited Moves
Tighter Estimates for epsilon-nets for Disks
Visual saliency detection: a Kalman filter based approach
Computational Power of P Systems with Small Size Insertion and Deletion Rules
Caching Policy for Cache-enabled D2D Communications by Learning User Preference
Smooth Quadratic Prediction Markets
A proposal for an incident regime that tracks and counters threats to national security posed by AI systems
Neural News Recommendation with Negative Feedback
Metamath Zero: The Cartesian Theorem Prover
3D-EDM: Early Detection Model for 3D-Printer Faults
On Robustness of Massive MIMO Systems Against Passive Eavesdropping under Antenna Selection
Sitting closer to friends than enemies, revisited
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
Optimal Control of an SIR Model with Noncompliance as a Social Contagion
Optimising Virtual Resource Mapping in Multi-Level NUMA Disaggregated Systems
Reasoning LLMs are Wandering Solution Explorers
Local algorithms for the prime factorization of strong product graphs
Benchmarking Specialized Databases for High-frequency Data
Chaos in Binary Category Computation
A construction-free coordinate-descent augmented-Lagrangian method for embedded linear MPC based on ARX models
Statistical-Based Privacy-Preserving Scheme with Malicious Consumers Identification for Smart~Grid
Binarized ResNet: Enabling Automatic Modulation Classification at the resource-constrained Edge
Amorphous packings of hard spheres in large space dimension
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations
Secure Pinching Antenna-aided ISAC
Towards Efficient Prompt-based Continual Learning in Distributed Medical AI
Structure-Preserving Transfer of Grad-Shafranov Equilibria to Magnetohydrodynamic Solvers
Improving Compression Based Dissimilarity Measure for Music Score Analysis
Deep-Dive Analysis of Selfish and Stubborn Mining in Bitcoin and Ethereum
Test-Time Modality Generalization for Medical Image Segmentation
'Alexa, Do You Know Anything?' The Impact of an Intelligent Assistant on Team Interactions and Creative Performance Under Time Scarcity
Theoretical framework for constructing matching algorithms in biometric authentication systems
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction
6G-Enabled Smart Railways
Distribution of scientific journals impact factor
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions
Resilient and Efficient Allocation for Large-Scale Autonomous Fleets via Decentralized Coordination
Natural-artificial hybrid swarm: Cyborg-insect group navigation in unknown obstructed soft terrain
Lost in Edits? A λ-Compass for AIGC Provenance
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting
The contribution of star scientists to overall sex differences in research productivity
Origami: (un)folding the abstraction of recursion schemes for program synthesis
Rendezvous of Agents with Different Speeds
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space
Persistent Data Layout and Infrastructure for Efficient Selective Retrieval of Event Data in ATLAS
Trapping LLM Hallucinations Using Tagged Context Prompts
Principles of modal and vector theory of formal intelligence systems
What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers
SCALER: SAM-Enhanced Collaborative Learning for Label-Deficient Concealed Object Segmentation
Dance Generation by Sound Symbolic Words
A New Semi-Structured Algebraic Multigrid Method
The state-of-the-art in web-scale semantic information processing for cloud computing
Designing a Self-Decoupled 16 Channel Transmitter for Human Brain Magnetic Resonance Imaging at 447MHz
Practical optimization of Steiner Trees via the cavity method
PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
Q-valued neural network as a system of fast identification and pattern recognition
Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
Vision Transformers: the threat of realistic adversarial patches
Logical Semantics and Commonsense Knowledge: Where Did we Go Wrong, and How to Go Forward, Again
Colocating Real-time Storage and Processing: An Analysis of Pull-based versus Push-based Streaming
Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
Separated response surfaces for flows in parametrised domains: comparison of a priori and a posteriori PGD algorithms
Topical Change Detection in Documents via Embeddings of Long Sequences
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
RaftMLP: Do MLP-based Models Dream of Winning Over Computer Vision?
The On-Board Computer of the AcubeSAT Mission
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators
Defending Grey Attacks by Exploiting Wavelet Analysis in Collaborative Filtering Recommender Systems
Time Series Generation with Masked Autoencoder
Sign Language Recognition based on YOLOv5 Algorithm for the Telugu Sign Language
Achieving Fairness Across Local and Global Models in Federated Learning
Image compositing is all you need for data augmentation
Median QMC method for unbounded integrands over ℝ s in unanchored weighted Sobolev spaces
Subspace Detection from Structured Union of Subspaces via Linear Sampling
Incentivizing Collaborative Breach Detection
HUGO - Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach
Dynamical phase transition due to preferential cluster growth of collective emotions in online communities
Filling gaps in trustworthy development of AI
Dynamic Graph Neural Networks
Explaining Latent Factor Models for Recommendation with Influence Functions
Aggregate Representation Measure for Predictive Model Reusability
TPP: Transparent Page Placement for CXL-Enabled Tiered Memory
HWL-HIN: A Hypergraph-Level Hypergraph Isomorphism Network as Powerful as the Hypergraph Weisfeiler-Lehman Test with Application to Higher-Order Network Robustness
Identification of Unmodeled Objects from Symbolic Descriptions
TMI! How Knowledge Platforms Tame the Information Overload and Advance Global Development Through Technology
Towards Medical Knowmetrics: Representing and Computing Medical Knowledge using Semantic Predications as the Knowledge Unit and the Uncertainty as the Knowledge Context
DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors
A Hybrid Both Filter and Wrapper Feature Selection Method for Microarray Classification
Segmentation-guided Layer-wise Image Vectorization with Gradient Fills
Bounds-constrained finite element approximation of time-dependent partial differential equations
A Study on Domain Generalization for Failure Detection through Human Reactions in HRI
GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling
K-Space Transformer for Fast MRI Reconstruction with Implicit Representation
A Neural Prototype for a Virtual Chemical Spectrophotometer
Optimizing SMS Reminder Campaigns for Pre- and Post-Diagnosis Cancer Check-Ups using Socio-Demographics: An In-Silco Investigation Into Bladder Cancer
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP
A Linear Kernel for Independent Set Reconfiguration in Planar Graphs
SmartSpatial: Enhancing the 3D Spatial Arrangement Capabilities of Stable Diffusion Models and Introducing a Novel 3D Spatial Evaluation Framework
I-Nema: A Biological Image Dataset for Nematode Recognition
From Prompt to Product: A Human-Centered Benchmark of Agentic App Generation Systems
Tuning LLM Judges Hyperparameters
Fibonacci and k-Subsecting Recursive Feature Elimination
Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market
A Multi-Evidence Framework Rescues Low-Power Prognostic Signals and Rejects Statistical Artifacts in Cancer Genomics
Physics-Informed Generator-Encoder Adversarial Networks with Latent Space Matching for Stochastic Differential Equations
GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network
Automatic Detection of Node-Replication Attack in Vehicular Ad-hoc Networks
DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification
Reasoning and Generalization in RL: A Tool Use Perspective
Physics-constrained Deep Learning for Robust Inverse ECG Modeling
SENT Map - Semantically Enhanced Topological Maps with Foundation Models
An Effectiveness Study Across Baseline and Neural Network-based Force Estimation Methods on the da Vinci Research Kit Si System
Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions
Universal Pooling Method of Multi-layer Features from Pretrained Models for Speaker Verification
Manifold Relevance Determination: Learning the Latent Space of Robotics
Towards Practicable Sequential Shift Detectors
Concurrent Gaussian elimination
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc
Image Super-resolution Inspired Electron Density Prediction
Online bagging for recommendation with incremental matrix factorization
Characterizing the Action-Generalization Gap in Deep Q-Learning
A Joint Reinforcement-Learning Enabled Caching and Cross-Layer Network Code for Sum-Rate Maximization in F-RAN with D2D Communications
A Simple Proof of the Existence of a Planar Separator
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator
Multi-planner intervention in network games with community structures
Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies
Eye in the Sky: Detection and Compliance Monitoring of Brick Kilns using Satellite Imagery
Real-time separation of non-stationary sound fields on spheres
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization
Schrodinger AI: A Unified Spectral-Dynamical Framework for Classification, Reasoning, and Operator-Based Generalization
Genetic Programming with Model Driven Dimension Repair for Learning Interpretable Appointment Scheduling Rules
Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Review
Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood
Degenerate neutrality creates evolvable fitness landscapes
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition
FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
On the relevance of avoided crossings away from quantum critical point to the complexity of quantum adiabatic algorithm
Adaptive Bivariate Quarklet Tree Approximation via Anisotropic Tensor Quarklets
Mapping Disruption Sources in the Power Grid and Implications for Resilience
Deep Learning for Mean Field Games with non-separable Hamiltonians
A Branch-and-Cut Algorithm for Mixed Integer Bilevel Linear Optimization Problems and Its Implementation
Intriguing Properties of Dynamic Sampling Networks
An Ecosystem for Ontology Interoperability
Managing Quality Requirements Using Activity-Based Quality Models
IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval
LoRA-Enhanced Distillation on Guided Diffusion Models
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France
Exploring Binary Classification Loss For Speaker Verification
A simple diffuse interface approach for compressible flows around moving solids of arbitrary shape based on a reduced Baer-Nunziato model
From Text to Knowledge with Graphs: modelling, querying and exploiting textual content
DOGE: Towards Versatile Visual Document Grounding and Referring
EasyUUV: An LLM-Enhanced Universal and Lightweight Sim-to-Real Reinforcement Learning Framework for UUV Attitude Control
Combining Partial Order Alignment and Progressive Near-Optimal Alignment
PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
LLMs as Sparse Retrievers:A Framework for First-Stage Product Search
Competitive Equilibria with Indivisible Goods and Generic Budgets
Exploring Trust and Risk during Online Bartering Interactions
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework
Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning
Communication systems using LabVIEW
Robust Transmission Scheduling for UAV-assisted Millimeter-Wave Train-Ground Communication System
Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration
Curse of dimensionality reduction
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Why some heaps support constant-amortized-time decrease-key operations, and others do not
Differential Privacy for Credit Risk Model
Space filling positionality and the Spiroformer
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
TabMixNN: A Unified Deep Learning Framework for Structural Mixed Effects Modeling on Tabular Data
Inferencing into the void: problems with implicit populations Comments on 'Empirical software engineering experts on the use of students and professionals in experiments'
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels
A Remote Control Painting System for Exterior Walls of High-Rise Buildings through Robotic System
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
Analysis of Signal Distortion in Molecular Communication Channels Using Frequency Response
Linear Functions to the Extended Reals
A Game Theoretical Approach to Modeling Full-Duplex Information Dissemination
Visualization and Optimization Techniques for High Dimensional Parameter Spaces
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
Optimal Control and Zero-Sum Games for Markov Chains of Mean-Field Type
Trinity: A Distributed Publish/Subscribe Broker with Blockchain-based Immutability
A closer look at the training dynamics of knowledge distillation
AsicBoost - A Speedup for Bitcoin Mining
Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid
Dipole Codes Attractively Encode Glue Functions
Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval
RFID Exploitation and Countermeasures
A note on large deviations for interacting particle dynamics for finding mixed equilibria in zero-sum games
Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations
A Survey on Non-rigid 3D Shape Analysis
Kernel functions based on triplet similarity comparisons
A Context-aware Delayed Agglomeration Framework for EM Segmentation
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
ChildlikeSHAPES: Semantic Hierarchical Region Parsing for Animating Figure Drawings
Towards the Certification of Hybrid Architectures: Analysing Interference on Hardware Accelerators through PML
Assessing the Bias in Communication Networks Sampled from Twitter
Semisupervised Classifier Evaluation and Recalibration
Robust Optimal Eco-driving Control with Uncertain Traffic Signal Timing
The Robust Orlicz Risk with an Application to the Green Photovoltaic Power Generation
UnifySpeech: A Unified Framework for Zero-shot Text-to-Speech and Voice Conversion
Complete Agent-driven Model-based System Testing for Autonomous Systems
PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision
Verbal Focus-of-Attention System for Learning-from-Demonstration
Fast-SEnSeI: Lightweight Sensor-Independent Cloud Masking for On-board Multispectral Sensors
Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey
Weak Resilience of Networked Control Systems