yusuke1997/dblp-id-title huggingface dataset:
Large-scale Vision-Language Models Learn Super Images for Efficient and High-Performance Partially Relevant Video Retrieval
An Integrated Design of Optimization and Physical Dynamics for Energy Efficient Buildings: A Passivity Approach
On the connection between Bregman divergence and value in regularized Markov decision processes
Inefficiencies of Meta Agents for Agent Design
Propagation of epidemics in a polarized society: impact of clustering among unvaccinated individuals
StockMem: An Event-Reflection Memory Framework for Stock Forecasting
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
Short Proofs for Some Symmetric Quantified Boolean Formulas
U-Sleep: resilient to AASM guidelines
On Hand-Held Grippers and the Morphological Gap in Human Manipulation Demonstration
General Multi-label Image Classification with Transformers
Biometric identification by means of hand geometry and a neural net classifier
Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
On the Information Loss in Memoryless Systems: The Multivariate Case
Heavy-tailed Linear Bandits: Adversarial Robustness, Best-of-both-worlds, and Beyond
Security of Spectrum Learning in Cognitive Radios
Statistical reduced order modelling for the parametric Helmholtz equation
An EoS-meter of QCD transition from deep learning
Recurrent networks recognize patterns with low-dimensional oscillations
Automorphisms of doubly-even self-dual binary codes
Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection
Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs
The efficacy potential of cyber security advice as presented in news articles
Prior choice affects ability of Bayesian neural networks to identify unknowns
Analyzing Adaptive Parameter Landscapes in Parameter Adaptation Methods for Differential Evolution
To Prolong the Lifetime of Wireless Sensor Networks: The Min-max Fair Scheduling in a Multi-access Contra-Polymatroid
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles
The Evolutionary Robustness of Forgiveness and Cooperation
AutoEncoding Tree for City Generation and Applications
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis
Techniques Enabling Generator Refactoring
Design and Evaluation of a CDSS for Drug Allergy Management Using LLMs and Pharmaceutical Data Integration
TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separation
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification
Stability and bifurcation properties of the algorithms for keeping of differential equations solutions on the required level
Propose, Test, Release: Differentially private estimation with high probability
Optimistic-Conservative Bidding in Sequential Auctions
Virtualized 5G Air Interface Protocol Stack for Multi-Cell Coordination
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning
Use of Non-Orthogonal Multiple Access in Dual-hop relaying
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
Outlier-Robust Tensor Low-Rank Representation for Data Clustering
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets
EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis
Performance Analysis of Estimation of Distribution Algorithm and Genetic Algorithm in Zone Routing Protocol
Decomposition of a Quantum System Into Subsystems in Finite Quantum Mechanics
Proceedings Eighth Workshop on Model-Based Testing, MBT 2013, Rome, Italy, 17th March 2013
VCGAN: Video Colorization with Hybrid Generative Adversarial Network
Out-of-Distribution Detection with Overlap Index
Addressing Camera Sensors Faults in Vision-Based Navigation: Simulation and Dataset Development
GMODiff: One-Step Gain Map Refinement with Diffusion Priors for HDR Reconstruction
A Comparison of Methods for Player Clustering via Behavioral Telemetry
Unsupervised Keyword Extraction for Full-sentence VQA
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
Visualizing Webpage Changes Over Time
A mathematical proof of the existence of trends in financial time series
MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish
Effective resistance in metric spaces
Designing Empirical Studies on LLM-Based Code Generation: Towards a Reference Framework
Experimental measurements of a joint 5G-VLC communication for future vehicular networks
A posteriori error analysis of a local adaptive discontinuous Galerkin method for convection-diffusion-reaction equations
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
Error Model of Radio Fingerprint and PDR Fusion Indoor Localization
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance
Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
Statistical Aspects of the Quantum Supremacy Demonstration
Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience
Quantifying the Uniqueness of Donald Trump in Presidential Discourse
$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution
A construction of a λ- Poisson generic sequence
MiniPLM: Knowledge Distillation for Pre-Training Language Models
TDC-Cache: A Trustworthy Decentralized Cooperative Caching Framework for Web3.0
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
From Top-Right to User-Right: Perceptual Prioritization of Point-Feature Label Positions
DOMINO: Visual Causal Reasoning with Time-Dependent Phenomena
VWise: A novel benchmark for evaluating scene classification for vehicular applications
Time-Spectral Efficiency
Surface Fluctuating Hydrodynamics Methods for the Drift-Diffusion Dynamics of Particles and Microstructures within Curved Fluid Interfaces
A Fully Analog Pipeline for Portfolio Optimization
Quantifying MEV On Layer 2 Networks
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization
A Unique "Nonnegative" Solution to an Underdetermined System: from Vectors to Matrices
Existence, uniqueness, and convergence rates for gradient flows in the training of artificial neural networks with ReLU activation
Decoding Beta-Decay Systematics: A Global Statistical Model for Beta^- Halflives
Modular Quantum Memories Using Passive Linear Optics and Coherent Feedback
An Augmentation Overlap Theory of Contrastive Learning
Pseudorehearsal in value function approximation
GASTAP: A Gas Analyzer for Smart Contracts
Exp-Graph: How Connections Learn Facial Attributes in Graph-based Expression Recognition
ABIDES-Economist: Agent-Based Simulation of Economic Systems with Learning Agents
Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design
Observer-based Controller for VTOL-UAVs Tracking using Direct Vision-Aided Inertial Navigation Measurements
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis
Narrative Scaffolding: Transforming Data-Driven Sensemaking Through Narrative-First Exploration
Are NFTs Ready to Keep Australian Artists Engaged?
Building a Cooperative Communications System
Improved and Parameterized Algorithms for Online Multi-level Aggregation: A Memory-based Approach
On Gradual Semantics for Assumption-Based Argumentation
Joint Word Representation Learning using a Corpus and a Semantic Lexicon
Towards a Reduced Dependency Framework for Autonomous Unified Inspect-Explore Missions
Hybrid Preference Optimization: Augmenting Direct Preference Optimization with Auxiliary Objectives
Evolutionary Diversity Optimisation for The Traveling Thief Problem
Dynamic Emotions of Supporters and Opponents of Anti-racism Movement from George Floyd Protests
Presence of informal language, such as emoticons, hashtags, and slang, impact the performance of sentiment analysis models on social media text?
Optimal error estimate of the finite element approximation of second order semilinear non-autonomous parabolic PDEs
Unsupervised Domain Adaption for Neural Information Retrieval
The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition
Finding Optimal Combination of Kernels using Genetic Programming
Transport, Variational Inference and Diffusions: with Applications to Annealed Flows and Schrödinger Bridges
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Constructive Approximation under Carleman's Condition, with Applications to Smoothed Analysis
Detecting fraudulent activity in a cloud using privacy-friendly data aggregates
Towards Learned Predictability of Storage Systems
Optimal searching of gapped repeats in a word
Limitations of Self-Assembly at Temperature One (extended abstract)
An optimal quantum algorithm to approximate the mean and its application for approximating the median of a set of points over an arbitrary distance
Comparing Methods for Creating a National Random Sample of Twitter Users
A Post-trainer's Guide to Multilingual Training Data: Uncovering Cross-lingual Transfer Dynamics
Artificial Immune Systems Metaphor for Agent Based Modeling of Crisis Response Operations
A mobile digital device proficiency performance test for cognitive clinical research
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
Gaussian Splatting Feature Fields for Privacy-Preserving Visual Localization
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example
A new construction of an MDS convolutional code of rate 1/2
On $k$-piecewise testability (preliminary report)
Nodal cooperation equilibrium analysis in multihop wireless ad hoc networks with a reputation system
Probabilistic Constraint Logic Programming
MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images
Generalist Robot Manipulation beyond Action Labeled Data
Authenticated Secret Key Generation in Delay Constrained Wireless Systems
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits
Feedback and Optimal Control in Climate Economics
Large Language Models as Agents in the Clinic
Multimodal RGB-HSI Feature Fusion with Patient-Aware Incremental Heuristic Meta-Learning for Oral Lesion Classification
A Parameterized Centrality Metric for Network Analysis
Ashwin: Plug-and-Play System for Machine-Human Image Annotation
Double Circulant Self-Dual Codes From Generalized Cyclotomic Classes Modulo 2p
Optimal Placement of Relay Nodes in Wireless Sensor Network Using Artificial Bees Colony Algorithm
A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model
On the Client Preference of LLM Fine-tuning in Federated Learning
Parametric Representation for Singing Voice Synthesis: a Comparative Evaluation
Eilmer: an Open-Source Multi-Physics Hypersonic Flow Solver
Synchronization of Power Systems and Kuramoto Oscillators: A Regional Stability Framework
A Metric for MLLM Alignment in Large-scale Recommendation
Voicing Personas: Rewriting Persona Descriptions into Style Prompts for Controllable Text-to-Speech
Interpretable Phase Detection and Classification with Persistent Homology
Modal Dependent Type Theory and Dependent Right Adjoints
Amodal segmentation just like doing a jigsaw
Evaluating Retrieval-Augmented Generation Systems on Unanswerable, Uncheatable, Realistic, Multi-hop Queries
Object affordance as a guide for grasp-type recognition
LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations
Cities beyond proximity
Byzantine-Robust Decentralized Learning via Self-Centered Clipping
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
Hysteresis and Linear Stability Analysis on Multiple Steady-State Solutions to the Poisson-Nernst-Planck equations with Steric Interactions
Deep Latent Factor Model for Collaborative Filtering
An encoding of array verification problems into array-free Horn clauses
Identification of Literary Movements Using Complex Networks to Represent Texts
Sharp bounds on Helmholtz impedance-to-impedance maps and application to overlapping domain decomposition
Binary Classification with Instance and Label Dependent Label Noise
Median of heaps: linear-time selection by recursively constructing binary heaps
A Distributed Newton Method for Large Scale Consensus Optimization
Gabor-guided transformer for single image deraining
RIS Partitioning and User Clustering for Resilient Non-Orthogonal Multiple Access UAV Networks
Mapping EINS -- An exercise in mapping the Network of Excellence in Internet Science
Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining
Secure Aggregation with Heterogeneous Quantization in Federated Learning
Goal Clustering: VNS based heuristics
A MAC-less Neural Inference Processor Supporting Compressed, Variable Precision Weights
Role Coloring Bipartite Graphs
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks
Towards computer-assisted understanding of dynamics in symphonic music
Semi-Transparent Image Sensors for Eye-Tracking Applications
Fast variational inference for nonparametric clustering of structured time-series
A least squares support vector regression for anisotropic diffusion filtering
A Recurrent YOLOv8-based framework for Event-Based Object Detection
On How Developers Test Open Source Software Systems
Using Simon's Algorithm to Attack Symmetric-Key Cryptographic Primitives
gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method
Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning
On quantum Renyi entropies: a new definition and some properties
Sketch \star-metric: Comparing Data Streams via Sketching
Predicting function of evolutionarily implausible DNA sequences
Multi-modal Aggregation for Video Classification
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration
Performance Evaluation of Cooperative NOMA-based Improved Hybrid SWIPT Protocol
A domain-theoretic investigation of posets of sub-sigma-algebras (extended abstract)
Stochastic generalized Nash equilibrium seeking in merely monotone games
GoldMind: A Teacher-Centered Knowledge Management System for Higher Education - Lessons from Iterative Design
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction
Application-oriented mathematical algorithms for group testing
LEGOBench: Leaderboard Generation Benchmark for Scientific Models
A Data-driven Under Frequency Load Shedding Scheme in Power Systems
Aggregate Peak EV Charging Demand: The Impact of Segmented Network Tariffs
GPT-3.5 vs GPT-4: Evaluating ChatGPT's Reasoning Performance in Zero-shot Learning
SAMIR, an efficient registration framework via robust feature learning from SAM
German CheXpert Chest X-ray Radiology Report Labeler
Improved Algorithms For Structured Sparse Recovery
MemoCoder: Automated Function Synthesis using LLM-Supported Agents
Accurate and fast anomaly detection in industrial processes and IoT environments
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach
Localized Clique Bounds in Bounded-Degree and Bounded-Path Graphs
How GPT learns layer by layer
DAST: Difficulty-Aware Self-Training on Large Language Models
Abstract Interpretation under Speculative Execution
Dynamic User-Defined Similarity Searching in Semi-Structured Text Retrieval
Adaptive Masked Weight Imprinting for Few-Shot Segmentation
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder
Platoon Forming Algorithms for Intelligent Street Intersections
Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data
Network Maps of Technology Fields: How Measures of Relatedness Influence Network Structures
Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach
Counterfactual Analysis by Algorithmic Complexity: A metric between possible worlds
Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks
The Leaderboard Illusion
Surviving the Storm: The Impacts of Open RAN Disaggregation on Latency and Resilience
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning
Towards One Shot Search Space Poisoning in Neural Architecture Search
Testing Probabilistic Processes: Can Random Choices Be Unobservable?
Soft Soil Gait Planning and Control for Biped Robot using Deep Deterministic Policy Gradient Approach
Network Simulator-centric Compositional Testing
B-stability of numerical integrators on Riemannian manifolds
DCP: Learning Accelerator Dataflow for Neural Network via Propagation
Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
Soil Erosion in the United States. Present and Future (2020-2050)
Detecting and Steering LLMs' Empathy in Action
Operations on Metric Thickenings
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples
Range Loss for Deep Face Recognition with Long-tail
An Achievable Rate Region for the Gaussian Interference Channel
Fast Multi-grid Methods for Minimizing Curvature Energy
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version
Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation
DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography
Compositional Processing Emerges in Neural Networks Solving Math Problems
Is Contrastive Distillation Enough for Learning Comprehensive 3D Representations?
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
Walk this Way! Entity Walks and Property Walks for RDF2vec
Qualitative Assessment of Low Power Wide Area Network Protocols and their Security Aspect
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Grammars Based on a Logic of Hypergraph Languages
Optimal Emergency Frequency Control Based on Coordinated Droop in Multi-Infeed Hybrid AC-DC System
Discrete stability estimates for the pressureless Euler-Poisson-Boltzmann equations in the Quasi-Neutral limit
"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing
Online anti-Semitism across platforms
Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction
Time-to-Green predictions for fully-actuated signal control systems with supervised learning
Changepoint Detection in Highly-Attributed Dynamic Graphs
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR
Autotuning Search Space for Loop Transformations
Region-wise Loss for Biomedical Image Segmentation
Superdeduction in Lambda-Bar-Mu-Mu-Tilde
Multi-View Task-Driven Recognition in Visual Sensor Networks
A PPO-based DRL Auto-Tuning Nonlinear PID Drone Controller for Robust Autonomous Flights
Asynchrony and Acceleration in Gossip Algorithms
Structured Event Representation and Stock Return Predictability
Pattern recognition techniques for Boson Sampling validation
On verifying expectations and observations of intelligent agents
Neural Game Engine: Accurate learning ofgeneralizable forward models from pixels
SpecEval: Evaluating Model Adherence to Behavior Specifications
DexFruit: Dexterous Manipulation and Gaussian Splatting Inspection of Fruit
Explaining predictive models using Shapley values and non-parametric vine copulas
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning
Diversifying Sparsity Using Variational Determinantal Point Processes
Efficient algorithms for the longest common subsequence in $k$-length substrings
A Multi-Agent Simulation of Retail Management Practices
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing
Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback
Near-linear time subhypergraph counting in bounded degeneracy hypergraphs
Rapid Co-optimization of Processing and Circuit Design to Overcome Carbon Nanotube Variations
Attention Basin: Why Contextual Position Matters in Large Language Models
IE-SRGS: An Internal-External Knowledge Fusion Framework for High-Fidelity 3D Gaussian Splatting Super-Resolution
An optimal open-loop strategy for handling a flexible beam with a robot manipulator
Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition
Whom Should We Sense in "Social Sensing" - Analyzing Which Users Work Best for Social Media Now-Casting
A dataset for cyber threat intelligence modeling of connected autonomous vehicles
Fuzzy Logic Approach For Visual Analysis Of Websites With K-means Clustering-based Color Extraction
A review of Quantum Neural Networks: Methods, Models, Dilemma
Multi-layered Cepstrum for Instantaneous Frequency Estimation
Revisiting Homomorphic Wavelet Estimation and Phase Unwrapping
Optimal Fiducial Marker Placement for Satellite Proximity Operations Using Observability Gramians
Supervised Fuzzy Partitioning
C(NN)FD - Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics
Agentic Metacognition: Designing a "Self-Aware" Low-Code Agent for Failure Prediction and Human Handoff
The ILLTP Library for Intuitionistic Linear Logic
Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation