yusuke1997/dblp-id-title huggingface dataset:
Optimal Exploration Strategy for Regret Minimization in Unconstrained Scalar Optimization Problems
Determination of weight coefficients for additive fitness function of genetic algorithm
Training robust neural networks using Lipschitz bounds
On the in vivo recognition of kidney stones using machine learning
Autonomous Robotic Bone Micro-Milling System with Automatic Calibration and 3D Surface Fitting
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias
Lattice-Based Group Signatures: Achieving Full Dynamicity (and Deniability) with Ease
Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
Hiding Information in Noise: Fundamental Limits of Covert Wireless Communication
An Almost-Surely Terminating Polynomial Protocol for Asynchronous Byzantine Agreement with Optimal Resilience
WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition
An Exploratory Eye Tracking Study on How Developers Classify and Debug Python Code in Different Paradigms
Devil in the Number: Towards Robust Multi-modality Data Filter
Central Limit Theorems for Wavelet Packet Decompositions of Stationary Random Processes
Randomized coordinate gradient descent almost surely escapes strict saddle points
Lessons Learned from Creating a Course Advising Tool
Prototypes-Guided Memory Replay for Continual Learning
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning
What makes for a 'good' social actor? Using respect as a lens to evaluate interactions with language agents
Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments
Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixing
Unposed 3DGS Reconstruction with Probabilistic Procrustes Mapping
Attacks on the Search-RLWE problem with small errors
On margin-based generalization prediction in deep neural networks
Applications of the DFLU flux to systems of conservation laws
Stochastic inference with deterministic spiking neurons
Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression
A Deep-Learning Framework to Predict the Dynamics of a Human-Driven Vehicle Based on the Road Geometry
MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
Dynamic Planar Embedding is in DynFO
Robustness quantification and how it allows for reliable classification, even in the presence of distribution shift and for small training sets
Collapsed Variational Bayes Inference of Infinite Relational Model
Solar Synergy: Innovative Strategies for Data Centers Energy Efficiency and Sustainability
Resolving the Complexity of Some Fundamental Problems in Computational Social Choice
Improving Reliability, Security, and Efficiency of Reconfigurable Hardware Systems
Characterizing the Investigative Methods of Fictional Detectives with Large Language Models
Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis
YTLive: A Dataset of Real-World YouTube Live Streaming Sessions
Some A Priori Torah Decryption Principles
Beam domain secure transmission for massive MIMO communications
Event-Triggered Resilient Filtering for 2-D Systems with Asynchronous-Delay: Handling Binary Encoding Decoding with Probabilistic Bit Flips
Sensors for healthcare: Would you want them in your home?
Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading
Infinite-Task Learning with Vector-Valued RKHSs
Models towards Risk Behavior Prediction and Analysis: A Netherlands Case study
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models
Do Deep Learning Models Have Too Many Parameters? An Information Theory Viewpoint
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study
Uncertainty Estimation For Community Standards Violation In Online Social Networks
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
When the extension property does not hold
WeSpeR: Population spectrum retrieval and spectral density estimation of weighted sample covariance
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models
Activation function impact on Sparse Neural Networks
Hierarchical DWR Error Estimates for the Navier Stokes Equation: h and p Enrichment
A Queuing Approach to Parking: Modeling, Verification, and Prediction
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs
Welfare Diplomacy: Benchmarking Language Model Cooperation
Software Defect Prediction using Autoencoder Transformer Model
Dominating Set is Fixed Parameter Tractable in Claw-free Graphs
Deep Learning-Based Approach for User Activity Detection with Grant-Free Random Access in Cell-Free Massive MIMO
Probing clustering in neural network representations
Crowdsourced Labeling for Worker-Task Specialization Block Model
On Universal Eigenvalues and Eigenvectors of Hypermatrices
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks
Market Equilibria With Buying Rights
User-space library rootkits revisited: Are user-space detection mechanisms futile?
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Stability analysis of the split-step Fourier method on the background of a soliton of the nonlinear Schrödinger equation
NeCGS: Neural Compression for 3D Geometry Sets
Mechanical State Estimation with a Polynomial-Chaos-Based Statistical Finite Element Method
Interpretable Data Mining of Follicular Thyroid Cancer Ultrasound Features Using Enhanced Association Rules
Automated Scene Flow Data Generation for Training and Verification
Cospanning characterizations of antimatroids and convex geometries
Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
SkyLiTE: End-to-End Design of Low-Altitude UAV Networks for Providing LTE Connectivity
Machine learning and machine learned prediction in chest X-ray images
Well-Definedness and Semantic Type-Checking in the Nested Relational Calculus and XQuery
Semi-Supervised Music Tagging Transformer
TKUS: Mining Top-K High-Utility Sequential Patterns
Literature Review to Collect Conceptual Variables of Scenario Methods for Establishing a Conceptual Scenario Framework
Finding permutations containing long cycles in finite alternating and symmetric groups acting on subsets
Open-source Frame Semantic Parsing
Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks
Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment
Train on Validation: Squeezing the Data Lemon
Robust Transceiver Design for AF MIMO Relay Systems with Column Correlations
Augmented Subspace Scheme for Eigenvalue Problem by Weak Galerkin Finite Element Method
Reversing information flow: retrodiction in semicartesian categories
SVM Model for Identification of human GPCRs
Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities
Random Projection and Its Applications
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)
Data-Driven Model Reduction by Two-Sided Moment Matching
Distributed Bayesian inference for consistent labeling of tracked objects in non-overlapping camera networks
Robust Native Language Identification through Agentic Decomposition
Role of New Kernel Function in Complexity Analysis of an Interior Point Algorithm for Semi definite Linear Complementarity Problem
Radar Meets Vision: Robustifying Monocular Metric Depth Prediction for Mobile Robotics
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
Personal space of autonomous car's passengers sitting in the driver's seat
A high throughput Intrusion Detection System (IDS) to enhance the security of data transmission among research centers
Unsupervised Learning of Semantic Mappings
What Is the Price of Data? A Measurement Study of Commercial Data Marketplaces
μ-Bench: A Vision-Language Benchmark for Microscopy Understanding
!-graphs with trivial overlap are context-free
Wisdom of Crowds Effects under Antagonistic Interactions and Correlated Opinions
Steering Deep Feature Learning with Backward Aligned Feature Updates
Scaling Pseudonymous Authentication for Large Mobile Systems
Assigning AI: Seven Approaches for Students, with Prompts
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks
Dynamic mean field programming
Enumerating Defensive Alliances
Machine Learning enhanced parametric Reynolds-averaged Navier-Stokes equations at the full and reduced order levels
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
Convergence of sequences: a survey
Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned
Threshold-Coloring of Archimedean and Laves Lattices
Stochastic continuum armed bandit problem of few linear parameters in high dimensions
Distributed Coordination Based on Quantum Entanglement
A Framework of Sparse Online Learning and Its Applications
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment
Playtime Measurement with Survival Analysis
Large-scale Video Classification guided by Batch Normalized LSTM Translator
Modeling Methane Intensity of Oil and Gas Upstream Activities by Production Profile
Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving
PromptBridge: Cross-Model Prompt Transfer for Large Language Models
Efficient ray tracing on 3D regular grids for fast generation of digitally reconstructed radiographs in iterative tomographic reconstruction techniques
Scalable Distributed Vector Search via Accuracy Preserving Index Construction
LiDAR-based Quadrotor for Slope Inspection in Dense Vegetation
Applying machine learning to the problem of choosing a heuristic to select the variable ordering for cylindrical algebraic decomposition
SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification
Dual-Matrix Domain-Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes
Joint Point Cloud and Image Based Localization For Efficient Inspection in Mixed Reality
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation
A note on concentration of submodular functions
Joint Equalization and Decoding for Nonlinear Two-Dimensional Intersymbol Interference Channels with Application to Optical Storage
MobiAct: Efficient MAV Action Recognition Using MobileNetV4 with Contrastive Learning and Knowledge Distillation
A Study of Revenue Cost Dynamics in Large Data Centers: A Factorial Design Approach
Sequential learning and control: Targeted exploration for robust performance
Reverse Attitude Statistics Based Star Map Identification Method
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
Fusion Models for Improved Visual Captioning
Repairing Bugs in Python Assignments Using Large Language Models
DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret
Quasi-Monte Carlo and discontinuous Galerkin
Continuous evaluation of the performance of cloud infrastructure for scientific applications
Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search
Polynomial self-stabilizing algorithm and proof for a 2/3-approximation of a maximum matching
Algebraic k-sets and generally neighborly embeddings
Refine and Represent: Region-to-Object Representation Learning
A Deep Generative Model for Disentangled Representations of Sequential Data
Quantifying attention via dwell time and engagement in a social media browsing environment
Probability Tools for Sequential Random Projection
Dirichlet draws are sparse with high probability
An improved planar graph product structure theorem
An Energy Stable Well-balanced Scheme for the Barotropic Euler System with Gravity under the Anelastic Scaling
On the sparsity of binary numbers
Provably Robust Semi-Infinite Program Under Collision Constraints via Subdivision
Cross-Task Transfer for Multimodal Aerial Scene Recognition
Interventional Video Grounding with Dual Contrastive Learning
Cultivating Multimodal Intelligence: Interpretive Reasoning and Agentic RAG Approaches to Dermatological Diagnosis
A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
Enhancing Rating Prediction with Off-the-Shelf LLMs Using In-Context User Reviews
Linear tracking MPC for nonlinear systems Part II: The data-driven case
A Note on Almost Perfect Probabilistically Checkable Proofs of Proximity
Leveraging AI to Accelerate Medical Data Cleaning: A Comparative Study of AI-Assisted vs. Traditional Methods
To Stay or to Bypass: Unraveling Mainline Vehicles' Aggregate Strategic Decision-Making at Highway Weaving Ramps
SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with Target Scattering Feature Parameters
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
Multi-Task Deep Learning for Surface Metrology
Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise
Agentic AI for Low-Altitude Semantic Wireless Networks: An Energy Efficient Design
Eigenvalues of the non-backtracking operator detached from the bulk
Frame Based Codes for Partially Active NOMA
Comparing Two Generations of Embedded GPUs Running a Feature Detection Algorithm
Virtual Sectorization to Enable Hybrid Beamforming in mm-Wave mMIMO
Space-Optimal Semi-Streaming for (2+ε)-Approximate Matching
Reachability and Safety Games under TSO Semantics
Low-latency Speech Enhancement via Speech Token Generation
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
Recursive Filter for Space-Variant Variance Reduction
Distributed Algorithms for Complete and Partial Information Games on Interference Channels
Study of Unique-Word Based GFDM Transmission Systems
Convolutional neural network stacking for medical image segmentation in CT scans
Who Gets the Reward, Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?"
Multiscale solution decomposition of nonlocal-in-time problems with application in numerical computation
From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning
Noninformative Bounding in Differential Privacy and Its Impact on Statistical Properties of Sanitized Results in Truncated and Boundary-Inflated-Truncated Laplace Mechanisms
Graph Convolutional Topic Model for Data Streams
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
Combined Algorithm for Data Mining using Association rules
Decoding visemes: improving machine lipreading (PhD thesis)
Linear-programming Decoding of Non-binary Linear Codes
Side Information in Robust Principle Component Analysis: Algorithms and Applications
Emerging Topics in Internet Technology: A Complex Networks Approach
A Probabilistic Oracle Inequality and Quantification of Uncertainty of a modified Discrepancy Principle for Statistical Inverse Problems
A finite element method using a bounded auxiliary variable for solving the Richards equation
Nonlinear constructive observer design for direct homography estimation
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples
Quixo Is Solved
Anthropomorphic User Interface Feedback in a Sewing Context and Affordances
On the Computation of Neumann Series
In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
Multimodal Deep Learning for Flaw Detection in Software Programs
Data-Efficient Autoregressive Document Retrieval for Fact Verification
Heterogeneous Synthetic Learner for Panel Data
ParaDiS: Parallelly Distributable Slimmable Neural Networks
A Logical Charaterisation of Ordered Disjunction
Undecidability of future timeline-based planning over dense temporal domains
Profiling-Assisted Decoupled Access-Execute
Multiphysics Modeling of Plasmonic Photoconductive Devices using Discontinuous Galerkin Methods
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
DistShap: Scalable GNN Explanations with Distributed Shapley Values
6G: from Densification to Diversification
Activation Functions for "A Feedforward Unitary Equivariant Neural Network"
COMPRER: A Multimodal Multi-Objective Pretraining Framework for Enhanced Medical Image Representation
Digital Feed-Back Carrier Phase Recovery in n-PSK Coherent Optical Fiber Systems
Expert Study on Interpretable Machine Learning Models with Missing Data
A statistical test for correspondence of texts to the Zipf-Mandelbrot law
HALO: Memory-Centric Heterogeneous Accelerator with 2.5D Integration for Low-Batch LLM Inference
LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
Learning Actor-centered Representations for Action Localization in Streaming Videos using Predictive Learning
Diffusion-Guided Mask-Consistent Paired Mixing for Endoscopic Image Segmentation
Finite Groupoids, Finite Coverings and Symmetries in Finite Structures
Abilities and Limitations of Spectral Graph Bisection
Age-Energy Analysis in Multi-Source Systems with Wake-up Control and Packet Management
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth
Foothill: A Quasiconvex Regularization Function
Quantifying impact on safety from cyber-attacks on cyber-physical systems
Identifying Biochemical Reaction Networks From Heterogeneous Datasets
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors
Benchmarking LLMs for Political Science: A United Nations Perspective
Pacti: Scaling Assume-Guarantee Reasoning for System Analysis and Design
Image Inpainting with Contextual Reconstruction Loss
Blind Image Deconvolution using Student's-t Prior with Overlapping Group Sparsity
Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation
A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding Strategies
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information
An upper bound on prototype set size for condensed nearest neighbor
Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression
Understanding Contrastive Learning through Variational Analysis and Neural Network Optimization Perspectives
A Survey of Optimization Methods from a Machine Learning Perspective
Data Mining on Educational Domain
Top-k Recommendation with Temporal Dynamics
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation
Constructions of (2, 1, 2) complete j-MDP convolutional codes
Codes over an algebra over ring
OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data
A Stackelberg viral marketing design for two competing players
Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration
Top-K Ranking from Pairwise Comparisons: When Spectral Ranking is Optimal
QGAN: Quantized Generative Adversarial Networks
Efficient high-resolution refinement in cryo-EM with stochastic gradient descent
Attonsecond Streaking Phase Retrieval Via Deep Learning Methods
VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models
GDB: Group Distance Bounding Protocols
Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks
Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning
RangeAugment: Efficient Online Augmentation with Range Learning
Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application
Cantor-Bendixson ranks of countable SFTs
A Tutorial on Parametric Variational Inference
Benchmarking and Mitigate Psychological Sycophancy in Medical Vision-Language Models
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging
The State of Sustainable Research Software: Results from the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1)
Online Truthful Mechanisms for Multi-sided Markets
Widespread Increases in Future Wildfire Risk to Global Forest Carbon Offset Projects Revealed by Explainable AI
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks
High-Resolution Multispectral Dataset for Semantic Segmentation
A Comparative Study of Distributed Feedback Optimizing Control Architectures
Darkverse - A New DarkWeb?
KAT-Coder Technical Report
Quantum Look at two Common Logics: the Logic of Primitive Thinking and the Logic of Everyday Human Reasoning
Optimization of breeding program design through stochastic simulation with evolutionary algorithms
HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Graph Persistence goes Spectral
OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit
Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs
The Emergence of League and Sub-League Structure in the Population Lotto Game
Vaiage: A Multi-Agent Solution to Personalized Travel Planning
On-Orbit Operations Simulator for Workload Measurement during Telerobotic Training
Community detection and Social Network analysis based on the Italian wars of the 15th century
A universal synthetic dataset for machine learning on spectroscopic data
A Unified Framework for Probabilistic Verification of AI Systems via Weighted Model Integration
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
Geo-Information Harvesting from Social Media Data
Pyclipse, a library for deidentification of free-text clinical notes
Bugs with Features: Vision-Based Fault-Tolerant Collective Motion Inspired by Nature
Reward Learning From Preference With Ties
Digital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks
Discovering Variable Binding Circuitry with Desiderata
Constant Approximation of Arboricity in Near-Optimal Sublinear Time
P ℓ -Kyber: Packing ℓ Plaintexts and Lattice Coding for Kyber
SparseLGS: Sparse View Language Embedded Gaussian Splatting
The shortest way to visit all metro lines in Paris
MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation
Few-Shot Image Recognition by Predicting Parameters from Activations
Path Planning and Controlled Crash Landing of a Quadcopter in case of a Rotor Failure
Passive Channel Gain Estimation Between Primary Transceivers in Cognitive Radio Networks
Dictionary Integration using 3D Morphable Face Models for Pose-invariant Collaborative-representation-based Classification
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
CoSIFL: Collaborative Secure and Incentivized Federated Learning with Differential Privacy
A Biomimetic Way for Coral-Reef-Inspired Swarm Intelligence for Carbon-Neutral Wastewater Treatment