yusuke1997/dblp-id-title huggingface dataset:
Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving
Batch Active Learning from the Perspective of Sparse Approximation
PRADA Applicability in Industrial Practice
Private Text Classification
Discretized Distributed Optimization over Dynamic Digraphs
SARATR-X: A Foundation Model for Synthetic Aperture Radar Images Target Recognition
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts
Texture feature extraction in the spatial-frequency domain for content-based image retrieval
Enhancing LLM Trading Performance with Fact-Subjectivity Aware Reasoning
A lower bound on the 2-adic complexity of modified Jacobi sequence
Reducing Overconfidence Predictions for Autonomous Driving Perception
Strategyproof and Proportional Chore Division for Piecewise Uniform Preferences
Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation
An efficient probabilistic hardware architecture for diffusion-like models
Hierarchical Spatial Algorithms for High-Resolution Image Quantization and Feature Extraction
HPC resources for CMS offline computing: An integration and scalability challenge for the Submission Infrastructure
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data
Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation
Modular implicits
HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
Analysis of P-time Event Graphs in (Max, +) and (Min, +) Algebras
Nonnegative approximations of nonnegative tensors
Optimizing and Evaluating Transient Gradual Typing
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
Learning by Refuting
SINETRA: a Versatile Framework for Evaluating Single Neuron Tracking in Behaving Animals
FinEval-KR: A Financial Domain Evaluation Framework for Large Language Models' Knowledge and Reasoning
Automated Cervical Cancer Detection through Visual Inspection with Acetic Acid in Resource-Poor Settings with Lightweight Deep Learning Models Deployed on an Android Device
Life is not black and white - Combining Semi-Supervised Learning with fuzzy labels
Tracking Revisited using RGBD Camera: Baseline and Benchmark
Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions
Machine Learning for Condensed Matter Physics
Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems
A Conceptual Framework for API Refactoring in Enterprise Application Architectures
Towards Neural Knowledge DNA
Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics
C5: Cloned Concurrency Control that Always Keeps Up
Rank/Select Queries over Mutable Bitmaps
A Scalable Framework for Evaluating Health Language Models
Convergence of the PCTL algorithm for solving the discretized 3T energy equations in RHD problems
WISE-FUSE: Efficient Whole Slide Image Encoding via Coarse-to-Fine Patch Selection with VLM and LLM Knowledge Fusion
Higher Order Lipschitz Sandwich Theorems
Grid-informed Sharing Coefficients in Renewable Energy Communities
View-Based Luminance Mapping in Open Workplace
On a generalization of corner trees
Neural Randomized Planning for Whole Body Robot Motion
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning
Wormhole Detection Based on Z-Score And Neighbor Table Comparison
Fairness with Dynamics
Substitutability, equilibrium transport, and matching models
Unexplainability of Artificial Intelligence Judgments in Kant's Perspective
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
Fault Models in Superconducting quantum circuits
Examining I2P Resilience: Effect of Centrality-based Attack
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control
CHOP: Bypassing Runtime Bounds Checking Through Convex Hull OPtimization
DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments
ALIVE: A Low-Cost Interactive Vaccine Storage Environment Module ensuring easy portability and remote tracking of operational logistics to the last mile
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
Perception Score, A Learned Metric for Open-ended Text Generation Evaluation
Isolation Scheme for Virtual Network Embedding Based on Reinforcement Learning for Smart City Vertical Industries
Topological Simplification of Signals for Inference and Approximate Reconstruction
LOC: A General Language-Guided Framework for Open-Set 3D Occupancy Prediction
Information Theoretic Structure Learning with Confidence
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair
Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection
Using Discretization for Extending the Set of Predictive Features
Parallel-in-Time Solution of Eddy Current Problems Using Implicit and Explicit Time-stepping Methods
Refined Upper Bounds on Stopping Redundancy of Binary Linear Codes
ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
SigGAN : Adversarial Model for Learning Signed Relationships in Networks
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction
Success and Cost Elicit Convention Formation for Efficient Communication
A Spline-based Partial Element Equivalent Circuit Method for Electrostatics
Medical Image Deidentification, Cleaning and Compression Using Pylogik
Program Synthesis for the OEIS
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
Clinically-guided Data Synthesis for Laryngeal Lesion Detection
Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
Disagreement-based Active Learning in Online Settings
Comparative Study on Agile software development methodologies
Anisotropic Norm Bounded Real Lemma for Linear Discrete Time Varying Systems
Semi-Supervised Speech Recognition via Local Prior Matching
MINI-SEQUENCE TRANSFORMER: Optimizing Intermediate Memory for Long Sequences Training
Casimir effect with machine learning
Measuring LDA Topic Stability from Clusters of Replicated Runs
Anti-Jamming Strategy for Distributed Microgrid Control based on Power Talk Communication
Globally Optimal Inverse Kinematics as a Quadratic Program
A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Trust, But Verify, Operator-Reported Geolocation
Learning Weighting Map for Bit-Depth Expansion within a Rational Range
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification
Transmit antenna subset selection in MIMO OFDM system using adaptive mutation Genetic algorithm
Quality-Aware Decoding: Unifying Quality Estimation and Decoding
Optimal Scheduling of Battery Storage Systems in the Swedish Multi-FCR Market Incorporating Battery Degradation and Technical Requirements
No more glowing in the dark: How deep learning improves exposure date estimation in thermoluminescence dosimetry
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes
Human Intention Estimation based on Hidden Markov Model Motion Validation for Safe Flexible Robotized Warehouses
Survey of Social Bias in Vision-Language Models
Quasi-Cyclic Complementary Dual Code
Transforming Expert Knowledge into Scalable Ontology via Large Language Models
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques
Several Classes of Trace Codes With Either Optimal Two Weights or a Few Weights over F q +uF q
"Compressed" Compressed Sensing
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models
Towards Graph Representation Learning in Emergent Communication
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Non-rigid image registration using fully convolutional networks with deep self-supervision
Avoidance Markov Metrics and Node Pivotality Ranking
Improved Training Strategies for Physics-Informed Neural Networks using Real Experimental Data in Aluminum Spot Welding
Audio-to-Score Conversion Model Based on Whisper methodology
Driver Identification via the Steering Wheel
Projection-free Algorithms for Online Convex Optimization with Adversarial Constraints
A Report on Shape Deformation with a Stretching and Bending Energy
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Chain-of-Conceptual-Thought: Eliciting the Agent to Deeply Think within the Response
Normalization by Evaluation in the Delay Monad: A Case Study for Coinduction via Copatterns and Sized Types
Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research
Understanding the Role of Momentum in Non-Convex Optimization: Practical Insights from a Lyapunov Analysis
From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs
The Relationship between Knowledge, Belief and Certainty
Pluralize: a Trustworthy Framework for High-Level Smart Contract-Draft
Tighter risk certificates for neural networks
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization
Anti-Jamming Path Planning Using GCN for Multi-UAV
Video Surveillance in the Cloud?
Generalized Geometric Programming for Rate Allocation in Consensus
VIRUP : The Virtual Reality Universe Project
A Formalization of Martingales in Isabelle/HOL
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets
Surprises in adversarially-trained linear regression
Minimal Solvers for Monocular Rolling Shutter Compensation under Ackermann Motion
Dynamics of niche construction in adaptable populations evolving in diverse environments
Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives
Linear Convergence of the Frank-Wolfe Algorithm over Product Polytopes
Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
Implementing Parallel Quick Sort Algorithm on OTIS Hyper Hexa-Cell (OHHC) Interconnection Network
On Limit Constants in Last Passage Percolation in Transitive Tournaments
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association
An Empirical Study of Developer-Provided Context for AI Coding Assistants in Open-Source Projects
NODA-MMH: Certified Learning-Aided Nonlinear Control for Magnetically-Actuated Swarm Experiment Toward On-Orbit Proof
How are the people in the photos judged? Analysis of brain activity when assessing levels of trust and attractiveness
Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis
On Some Integrated Approaches to Inference
ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons
No Such Thing as a General Learner: Language models and their dual optimization
Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins
MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data Centers
Image Compression using only Attention based Neural Networks
An Underactuated Vehicle Localization Method in Marine Environments
Permanent Data Encoding (PDE): A Visual Language for Semantic Compression and Knowledge Preservation in 3-Character Units
Reinforcement Learning-Based Adaptive Load Balancing for Dynamic Cloud Environments
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring
Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches - extended version
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution
RANDGENER: Distributed Randomness Beacon from Verifiable Delay Function
A new network node similarity measure method and its applications
Scorch: A Library for Sparse Deep Learning
Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images
A GPU-enabled finite volume solver for large shallow water simulations
Look-Up mAI GeMM: Increasing AI GeMMs Performance by Nearly 2.5x via msGeMM
Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
On a nonlocal Cahn-Hilliard model permitting sharp interfaces
DRIVE-T: A Methodology for Discriminative and Representative Data Viz Item Selection for Literacy Construct and Assessment
Pre-Training a Language Model Without Human Language
The Right Tools for the Job: The Case for Spatial Science Tool-Building
Robust Heuristic Algorithm Design with LLMs
An optimization approach to learning falling rule lists
Constant-factor approximations for asymmetric TSP on nearly-embeddable graphs
BOOP: Write Right Code
mpENC Multi-Party Encrypted Messaging Protocol design document
The semantic landscape paradigm for neural networks
Automata in toposes, and general Myhill-Nerode theorems
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory
Invisible pushdown languages
Learning to Transpile AMR into SPARQL
Coordinated Scheduling and Spectrum Sharing via Matrix Fractional Programming
Experimental Investigation of Repurposed Kaplan Turbines as Variable-Speed Propellers for Maximizing Frequency Containment Reserve
Exploring semantic information in disease: Simple Data Augmentation Techniques for Chinese Disease Normalization
Motor Learning Mechanism on the Neuron Scale
Configuration Learning in Underwater Optical Links
High-throughput Genome-wide Association Analysis for Single and Multiple Phenotypes
RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal Models
New Sample Complexity Bounds for (Regularized) Sample Average Approximation in Several Heavy-Tailed, Non-Lipschitzian, and High-Dimensional Cases
Recommender Systems in E-commerce
Multimodal Engagement Analysis from Facial Videos in the Classroom
UIEDP: Underwater Image Enhancement with Diffusion Prior
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
End-to-End Motion Capture from Rigid Body Markers with Geodesic Loss
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data
EMHMM Simulation Study
Fortran interface layer of the framework for developing particle simulator FDPS
Adaptive Planning Search Algorithm for Analog Circuit Verification
Searching for Minimal Optimal Neural Networks
Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Tracking the Evolution of Static Code Warnings: the State-of-the-Art and a Better Approach
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models
On the advantages of stochastic encoders
Unveiling the Sentinels: Assessing AI Performance in Cybersecurity Peer Review
Interfacing the ControlLogix PLC over Ethernet/IP
Learning Decorrelated Hashing Codes for Multimodal Retrieval
Compensation of Linear Attacks to Cyber Physical Systems through ARX System Identification
A Note on Empty Balanced Tetrahedra in Two colored Point sets in R 3
Discovering changes in birthing narratives during COVID-19
Classification of multivariate weakly-labelled time-series with attention
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification
'That Darned Sandstorm': A Study of Procedural Generation through Archaeological Storytelling
The Neglected Tails of Vision-Language Models
Ergodic Estimates of One-Step Numerical Approximations for Superlinear SODEs
LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models
Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation
Mind the Gap: Assessing Wiktionary's Crowd-Sourced Linguistic Knowledge on Morphological Gaps in Two Related Languages
DIM: Enforcing Domain-Informed Monotonicity in Deep Neural Networks
Face Attribute Editing with Disentangled Latent Vectors
Monochromatic Progressions in Random Colorings
Machine vision for vial positioning detection toward the safe automation of material synthesis
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization
A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing
Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection
Weighted high dimensional data reduction of finite Element Features - An Application on High Pressure of an Abdominal Aortic Aneurysm
Phase Diagram of Restricted Boltzmann Machines and Generalised Hopfield Networks with Arbitrary Priors
Search-time Efficient Device Constraints-Aware Neural Architecture Search
Digital Signature Security in Data Communication
Universal, Unsupervised, Uncovered Sentiment Analysis
On the Labeling Problem of Permutation Group Codes under the Infinity Metric
Selfish Attacks in Two-hop IEEE 802.11 Relay Networks: Impact and Countermeasures
Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks
Architecture and Knowledge Representation for Composable Inductive Programming
Ideogram Based Chinese Sentiment Word Orientation Computation
Simpliflow: A Lightweight Open-Source Framework for Rapid Creation and Deployment of Generative Agentic AI Workflows
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
An Intelligent Transaction Migration Scheme for RAFT-based Private Blockchain in Internet of Things Applications
Mapping Out Narrative Structures and Dynamics Using Networks and Textual Information
Cognitive Discriminative Mappings for Rapid Learning
Modeling Risk Perception in Networks with Community Structure
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching
Discontinuous Galerkin and C 0 -IP finite element approximation of periodic Hamilton-Jacobi-Bellman-Isaacs problems with application to numerical homogenization
SMILEtrack: SiMIlarity LEarning for Multiple Object Tracking
Stateful Function-as-a-Service at the Edge
Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods
The Security of Organizations and Individuals in Online Social Networks
Automated Composition of Picture-Synched Music Soundtracks for Movies
Upsampling artifacts in neural audio synthesis
Graph-to-local limit for the nonlocal interaction equation
Intellecta Cognitiva: A Comprehensive Dataset for Advancing Academic Knowledge and Machine Reasoning
Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production
Monotone Increasing Properties and Their Phase Transitions in Uniform Random Intersection Graphs
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets
The language (and series) of Hammersley-type processes
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability
Geometric Complexity Theory VIII: On canonical bases for the nonstandard quantum groups
The Approximate Sum Capacity of the Symmetric Gaussian K-User Interference Channel
Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems
Empirical determination of the optimum attack for fragmentation of modular networks
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
An efficient Exact-PGA algorithm for constant curvature manifolds
LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
Experimenting with D-Wave Quantum Annealers on Prime Factorization problems
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
A Quadratic Form Approach to ML Decoding Complexity of STBCs
ATAC: Augmentation-Based Test-Time Adversarial Correction for CLIP
POSTER: spaceQUIC: Securing Communication in Computationally Constrained Spacecraft
Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features
Deciding the Borel complexity of regular tree languages
Compressing network populations with modal networks reveals structural diversity
Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods
When Domains Collide: An Activity Theory Exploration of Cross-Disciplinary Collaboration
Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multihoming
Individual and Collective Performance Deteriorate in a New Team: A Case Study of CS: GO Tournaments
Altmetrics: New Indicators for Scientific Communication in Web 2.0
Financial series prediction using Attention LSTM
Can weight sharing outperform random architecture search? An investigation with TuNAS
Image Parsing with a Wide Range of Classes and Scene-Level Context
Federated Random Reshuffling with Compression and Variance Reduction
Covering a Curve with Subtrajectories
Automatic Stroke Classification of Tabla Accompaniment in Hindustani Vocal Concert Audio
Statistical analysis of Inverse Entropy-regularized Reinforcement Learning
Ideal Preconditioners for Saddle Point Systems with a Rank-Deficient Leading Block
3D Ground Truth Reconstruction from Multi-Camera Annotations Using UKF
Autonomous navigation for low-altitude UAVs in urban areas
AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?
Permutation complexity of the fixed points of some uniform binary morphisms
MIP and Set Covering approaches for Sparse Approximation
Scaling Gaussian Process Regression with Full Derivative Observations
CoT-Space: A Theoretical Framework for Internal Slow-Thinking via Reinforcement Learning
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Fine-Grained Authorization for Job and Resource Management Using Akenti and the Globus Toolkit
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks
DDDM: a Brain-Inspired Framework for Robust Classification
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
Efficient Scene Text Localization and Recognition with Local Character Refinement
Action Forecasting with Feature-wise Self-Attention