yusuke1997/dblp-id-title huggingface dataset:
Aligned Manifold Property and Topology Point Clouds for Learning Molecular Properties
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Management of Network Slicing in 5G Radio Access Networks: Functional Framework and Information Models
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification
Design, manufacturing, and inverse dynamic modeling of soft parallel robots actuated by dielectric elastomer actuators
A Novel Neural Network Model Specified for Representing Logical Relations
CauseJudger: Identifying the Cause with LLMs for Abductive Logical Reasoning
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP
Freeform Body Motion Generation from Speech
A Simple and Efficient Lagrange Multiplier Based Mixed Finite Element for Gradient Damage
Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Navigation
Comparing Completion Time, Accuracy, and Satisfaction in Virtual Reality vs. Desktop Implementation of the Common Coordinate Framework Registration User Interface (CCF RUI)
On the Core of the b -Matching Game
Proof that the Kalman gain minimizes the generalized variance
ν-Flows: Conditional Neutrino Regression
Axiomatisability and hardness for universal Horn classes of hypergraphs
Millimeter Wave Doppler Sensor for Nondestructive Evaluation of Materials
Quantum interpolating ensemble: Average entropies and orthogonal polynomials
LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM
Explicit constructions of optimal-access MDS codes with nearly optimal sub-packetization
Forensic Activity Classification Using Digital Traces from iPhones: A Machine Learning-based Approach
Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
A Unifying Framework for Measuring Weighted Rich Clubs by Integrating Randomized Controls
On cyclic self-orthogonal codes over Zpm
Exact Synthesis of Multiqutrit Clifford-Cyclotomic Circuits
How Fragmentation Can Undermine the Public Health Response to COVID-19
Positivity-preserving Well-balanced PAMPA Schemes with Global Flux quadrature for One-dimensional Shallow Water Models
Balancing Profit and Fairness in Risk-Based Pricing Markets
Sugar Shack 4.0: Practical Demonstration of an IIoT-Based Event-Driven Automation System
Sistem penunjang keputusan kelayakan pemberian pinjaman dengna metode fuzzy tsukamoto
Quantum computing and persistence in topological data analysis
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
Extension Complexity of the Correlation Polytope
Mobile Edge Computing: Survey and Research Outlook
GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios
weg2vec: Event embedding for temporal networks
Risk-Sensitive RL with Optimized Certainty Equivalents via Reduction to Standard RL
Language Model Agents Under Attack: A Cross Model-Benchmark of Profit-Seeking Behaviors in Customer Service
Protecting from Malware Obfuscation Attacks through Adversarial Risk Analysis
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
The Quantum Kalman Decomposition: A Gramian Matrix Approach
Dynamic enterprise architecture capabilities and organizational benefits: an empirical mediation study
Low-rank Approximation of Linear Maps
The Investigation of Negative Capacitance Vertical Nanowire FETs Based on SPICE Model at Device-Circuit Level
Literature Review on Endoscopic Robotic Systems in Ear and Sinus Surgery
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
PatchPilot: A Stable and Cost-Efficient Agentic Patching Framework
Spotlight: Identifying and Localizing Video Generation Errors Using VLMs
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
PAPILLON: PrivAcy Preservation from Internet-based and Local Language MOdel ENsembles
Sorting Under Restrictions
A Fully Quantum Algorithm for Hydrodynamic Lattice Gas Cellular Automata
The Smooth Power of the "Neandertal Method"
A New Hybrid Method of IPv6 Addressing in the Internet of Things
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Multipacking in Euclidean Plane
NU-net: An Unpretentious Nested U-net for Breast Tumor Segmentation
Secure Communication Model For Quantum Federated Learning: A Post Quantum Cryptography (PQC) Framework
Rainbow Perfect and Near-Perfect Matchings in Complete Graphs with Edges Colored by Circular Distance
Provably Efficient Multi-Objective Bandit Algorithms under Preference-Centric Customization
Debiased Model-based Interactive Recommendation
Selecting Cybersecurity Requirements: Effects of LLM Use and Professional Software Development Experience
Provable Benefits of Sinusoidal Activation for Modular Addition
On the Role of Conceptualization in Commonsense Knowledge Graph Construction
Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders
Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization
Self-supervised learning on gene expression data
Bag of Coins: A Statistical Probe into Neural Confidence Structures
Joint Source-Channel Coding on a Multiple Access Channel with Side Information
Handling Adversarial Concept Drift in Streaming Data
Moments of Autocorrelation Demerit Factors of Binary Sequences
A scalable framework for annotating photovoltaic cell defects in electroluminescence images
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features
Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models
MISRA C, for Security's Sake!
Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering
Using Latent Binary Variables for Online Reconstruction of Large Scale Systems
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
Error Analysis of Physics-Informed Neural Networks for Approximating Dynamic PDEs of Second Order in Time
Co-Occurrence Patterns in the Voynich Manuscript
Hessian-Free Optimization For Learning Deep Multidimensional Recurrent Neural Networks
Multi-rotor Aerial Vehicles in Physical Interactions: A Survey
Introducing User Feedback-based Counterfactual Explanations (UFCE)
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data
Unable to Forget: Proactive lnterference Reveals Working Memory Limits in LLMs Beyond Context Length
Robust and structural ergodicity analysis of stochastic biomolecular networks involving synthetic antithetic integral controllers
A study of the effect of the illumination model on the generation of synthetic training datasets
Speed Optimization In Unplanned Traffic Using Bio-Inspired Computing And Population Knowledge Base
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection
An Algorithm for Discriminating the Complete Multiplicities of a Parametric Univariate Polynomial
On ultralimits of sparse graph classes
Efficient Visual Computing with Camera RAW Snapshots
Shaping Online Dialogue: Examining How Community Rules Affect Discussion Structures on Reddit
Time Series Forecasting of HIV/AIDS in the Philippines Using Deep Learning: Does COVID-19 Epidemic Matter?
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty
Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots
Algorithms to automatically quantify the geometric similarity of anatomical surfaces
An unified material interpolation for topology optimization of multi-materials
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
The use of GPT-4o and Other Large Language Models for the Improvement and Design of Self-Assessment Scales for Measurement of Interpersonal Communication Skills
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
IoT Wallet: Machine Learning-based Sensor Portfolio Application
Realistic Deep Learning May Not Fit Benignly
An Evaluation of Percentile Measures of Citation Impact, and a Proposal for Making Them Better
Prompting Large Language Models for Zero-shot Essay Scoring via Multi-trait Specialization
Zero-Suppressed Computation: A New Computation Inspired by ZDDs
A Tight Double-Exponentially Lower Bound for High-Multiplicity Bin Packing
The generalized Floquet-Bloch spectrum for periodic thermodiffusive layered materials
Look Before you Speak: Visually Contextualized Utterances
Active Advantage-Aligned Online Reinforcement Learning with Offline Data
On the Interplay between Non-Functional Requirements and Builds on Continuous Integration
LightCAM: A Fast and Light Implementation of Context-Aware Masking based D-TDNN for Speaker Verification
MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)
Interface Between Market and Science
On the Computational Modeling of Meaning: Embodied Cognition Intertwined with Emotion
Difference Learning for Air Quality Forecasting Transport Emulation
On the construction of small subsets containing special elements in a finite field
Quantum automated learning with provable and explainable trainability
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
Ichnos: A Carbon Footprint Estimator for Scientific Workflows
A New Extension of Chubanov's Method to Symmetric Cones
Quantitative Sensitivity Bounds for Nonlinear Programming and Time-varying Optimization
Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility
Scalable and Efficient Aggregation of Energy-Constrained Flexible Loads
Vehicle Powertrain Connected Route Optimization for Conventional, Hybrid and Plug-in Electric Vehicles
PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
Security Analysis and Design for TAGA: a Touch and Go Assistant in the Aerospace Domain
Memristor Load Current Mirror Circuit
Tweets vs Pathogen Spread: A Case Study of COVID-19 in American States
Online Maximum Likelihood Parameter Estimation for Continuously-Monitored Quantum Systems
Federated Learning for Cooperative Inference Systems: The Case of Early Exit Networks
Ontologies for the Integration of Air Quality Models and 3D City Models
Instance based Generalization in Reinforcement Learning
UGAE: A Novel Approach to Non-exponential Discounting
Perceptually-inspired super-resolution of compressed videos
Performance Analysis of Optimized VANET Protocols in Real World Tests
Local learning through propagation delays in spiking neural networks
JaneEye: A 12-nm 2K-FPS 18.9-μJ/Frame Event-based Eye Tracking Accelerator
FSD: Fully-Specialized Detector via Neural Architecture Search
Curvature-Informed SGD via General Purpose Lie-Group Preconditioners
Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
Finite sample expressive power of small-width ReLU networks
DeepTalk: Towards Seamless and Smart Speech Interaction with Adaptive Modality-Specific MoE
Automatic Generation of Vectorized Montgomery Algorithm
DOGE: Differentiable Bezier Graph Optimization for Road Network Extraction
Partially Shared Concept Bottleneck Models
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval
Adversarial examples are useful too!
Understanding GANs: the LQG Setting
Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems
Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions
Near-Field Joint Localization and Synchronization
Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data
Self-Supervised learning with cross-modal transformers for emotion recognition
Calibrated Chaos: Variance Between Runs of Neural Network Training is Harmless and Inevitable
Predictive Real-Time Control Optimization of a Stormwater Management System
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
Correcting Real-Word Spelling Errors: A New Hybrid Approach
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks
Co-occurrence matrix analysis-based semi-supervised training for object detection
Flow-based linear embedding for Bayesian filtering of nonlinear stochastic dynamical systems
Photonics for artificial intelligence and neuromorphic computing
A Time-Power Series Based Semi-Analytical Approach for Power System Simulation
Exploring Gender Bias in Remote Pair Programming among Software Engineering Students: The twincode Original Study and First External Replication
Efficient Computation of Whole-Body Control Utilizing Simplified Whole-Body Dynamics via Centroidal Dynamics
Numerical solution of an inverse random source problem for the time fractional diffusion equation via PhaseLift
Deflanderization for Game Dialogue: Balancing Character Authenticity with Task Execution in LLM-based NPCs
Data Augmentation Imbalance For Imbalanced Attribute Classification
Dynamic Constraint-based Influence Framework and its Application in Stochastic Modeling of Load Balancing
Generalizing Roberts' characterization of unit interval graphs
Image Completion via Dual-path Cooperative Filtering
Towards the optimization of ballistics in proton therapy using genetic algorithms: implementation issues
On iterated interpolation
RAG based Question-Answering for Contextual Response Prediction System
HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation
Real-time chaotic video encryption based on multithreaded parallel confusion and diffusion
Sequence Analysis of Learning Behavior in Different Consecutive Activities
Cluster-Based Random Forest Visualization and Interpretation
Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting
Polar Codes with exponentially small error at finite block length
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets
On Secrecy Performance of RIS-Assisted MISO Systems over Rician Channels with Spatially Random Eavesdroppers
Self Clocked Digital LDO for Cryogenic Power Management in 22nm FDSOI with 98 Percent Efficiency
Chain-of-Though (CoT) prompting strategies for medical error detection and correction
Data Complexity of Querying Description Logic Knowledge Bases under Cost-Based Semantics
Information Credibility in the Social Web: Contexts, Approaches, and Open Issues
Interpretable and flexible non-intrusive reduced-order models using reproducing kernel Hilbert spaces
Move to See Better: Towards Self-Supervised Amodal Object Detection
Combining visual contrast information with sound can produce faster decisions
Coding with Noiseless Feedback over the Z-channel
Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems
Towards understanding the performance of IEEE 802.11 MAC in heterogeneous traffic conditions
Locality and applications to subsumption testing and interpolation in $\mathcal{EL}$ and some of its extensions
A partially decentralized EKF scheme for cooperative localization over unreliable communication links
Computation in generalised probabilistic theories
Hierarchical Demand Forecasting Benchmark for the Distribution Grid
Robust Collaborative Online Learning
Knowledge-aware Autoencoders for Explainable Recommender Sytems
Two-Level Distributed Interference Management for Large-Scale HAPS-Empowered vHetNets
Robust control of quantum gates via sequential convex programming
Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos
S2LET: A code to perform fast wavelet analysis on the sphere
Modified SI Epidemic Model for Combating Virus Spread in Spatially Correlated Wireless Sensor Networks
Systematic edge uncertainty in attributed social networks and its effects on rankings of minority nodes
Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free
LIO-MARS: Non-uniform Continuous-time Trajectories for Real-time LiDAR-Inertial-Odometry
Polar Codes for Nonasymmetric Slepian-Wolf Coding
A Tutorial on Formulating QUBO Models
An index-resolved fixed-point homotopy and potential energy landscapes
A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Safe Returning FaSTrack with Robust Control Lyapunov-Value Functions
Comparative Multi-View Language Grounding
Conservative data-driven finite element formulation
Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach
Error Correcting Codes From General Linear Groups
Band-wise Hyperspectral Image Pansharpening using CNN Model Propagation
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals
An Analysis of the Correctness and Computational Complexity of Path Planning in Payment Channel Networks
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Discovering substantive disagreement with review articles?
Evaluating Document Representations for Content-based Legal Literature Recommendations
EAGLE: Towards Efficient Arbitrary Referring Visual Prompts Comprehension for Multimodal Large Language Models
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
An Automatic Method of Finding Topic Boundaries
A Post-Processing Tool and Feasibility Study for Three-Dimensional Imaging with Electrical Impedance Tomography During Deep Brain Stimulation Surgery
When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks
Efficient Federated Unlearning under Plausible Deniability
SafeBet: Secure, Simple, and Fast Speculative Execution
How to Minimize the Weighted Sum AoI in Multi-Source Status Update Systems: OMA or NOMA?
Deformable Models for Surgical Simulation: A Survey
INADVERT: An Interactive and Adaptive Counterdeception Platform for Attention Enhancement and Phishing Prevention
SCALAR-NeRF: SCAlable LARge-scale Neural Radiance Fields for Scene Reconstruction
VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts
Hybrid LSTM-Transformer Models for Profiling Highway-Railway Grade Crossings
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification
Using the C4ISR Architecture Framework as a Tool to Facilitate VV&A for Simulation Systems within the Military Application Domain
Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm
Negative Margin Matters: Understanding Margin in Few-shot Classification
Heterogeneous Programming with Single Operation Multiple Data
Obstruction characterization of co-TT graphs
Hierarchical Label Inference for Video Classification
Brain-language fusion enables interactive neural readout and in-silico experimentation
A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern
GATlab: Modeling and Programming with Generalized Algebraic Theories
Regression-aware decompositions
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition
PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models
Multi-scale super-resolution generation of low-resolution scanned pathological images
What explains the success of cross-modal fine-tuning with ORCA?
Vulnerability of multi-layer networks under malware spreading
Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2
Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR
On entropy-constrained Gaussian channel capacity via the moment problem
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
Representation Learning in Low-rank Slate-based Recommender Systems
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems
Topic and genre in dialogue
Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice
On the relation between trainability and dequantization of variational quantum learning models
Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems
Deep Magnification-Arbitrary Upsampling over 3D Point Clouds
Some facts on Permanents in Finite Characteristics
Behavior Trees for Robust Task Level Control in Robotic Applications
How Much is Enough? The Diminishing Returns of Tokenization Training Data
Learnable Evolutionary Multi-Objective Combinatorial Optimization via Sequence-to-Sequence Model
An Elementary Predictor Obtaining 2√T Distance to Calibration
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk
On Wellposedness and Convergence of UPML method for analyzing wave scattering in layered media
Learning Cross-modal Contrastive Features for Video Domain Adaptation
A methodology for detection and localization of fruits in apples orchards from aerial images
A multiprecision matrix calculation library and its extension library for a matrix-product-state simulation of quantum computing
Injecting Measurement Information Yields a Fast and Noise-Robust Diffusion-Based Inverse Problem Solver
Structural Health Monitoring Using Neural Network Based Vibrational System Identification
A Memory-Augmented LLM-Driven Method for Autonomous Merging of 3D Printing Work Orders
After the Party: Navigating the Mapping From Color to Ambient Lighting
Multiscale Computations on Neural Networks: From the Individual Neuron Interactions to the Macroscopic-Level Analysis
Automated conjecturing in mathematics with TxGraffiti
Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification
Do regularization methods for shortcut mitigation work as intended?
Performance of Buchberger's Improved Algorithm using Prime Based Ordering
An Integrated Framework for Multi-Granular Explanation of Video Summarization
Distributed Adaptive and Resilient Control of Multi-Robot Systems with Limited Field of View Interactions using Q-Learning
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series
Kernel Code for DNA Digital Data Storage
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices
Towards faster isomorphism tests for bounded-degree graphs
DOLMA: A Data Object Level Memory Disaggregation Framework for HPC Applications
LSMVOS: Long-Short-Term Similarity Matching for Video Object
On the Correctness of Inverted Index Based Public-Key Searchable Encryption Scheme for Multi-time Search
A Brief Overview of Unsupervised Neural Speech Representation Learning
ADPerf: Investigating and Testing Performance in Autonomous Driving Systems