yusuke1997/dblp-id-title huggingface dataset:
Beyond Algorithm Evolution: An LLM-Driven Framework for the Co-Evolution of Swarm Intelligence Optimization Algorithms and Prompts
Hardness of recognizing phases of matter
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance
A DCT And SVD based Watermarking Technique To Identify Tag
Distilling Invariant Representations with Dual Augmentation
Noise-Resilient Automatic Interpretation of Holter ECG Recordings
STGCN-LSTM for Olympic Medal Prediction: Dynamic Power Modeling and Causal Policy Optimization
CatBack: Universal Backdoor Attacks on Tabular Data via Categorical Encoding
Optimal Sampling and Remote Estimation of the Wiener Process over a Channel with Random Delay
Local Features Meet Stochastic Anonymization: Revolutionizing Privacy-Preserving Face Recognition for Black-Box Models
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
Phase Space Analysis of Cardiac Spectra
Towards the development of Dynamic Networked Psychology Hypotheses
On the basins of attraction of a one-dimensional family of root finding algorithms: from Newton to Traub
Finite-time and Asymptotic Convergence of Distributed Averaging and Maximizing Algorithms
ACADATA: Parallel Dataset of Academic Data for Machine Translation
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation
NAWOA-XGBoost: A Novel Model for Early Prediction of Academic Potential in Computer Science Students
Real Interference Alignment and Degrees of Freedom Region of Wireless X Networks
An Efficient Method to Verify the Inclusion of Ellipsoids
On a Reinforcement Learning Methodology for Epidemic Control, with application to COVID-19
Res2Net: A New Multi-scale Backbone Architecture
skscope: Fast Sparsity-Constrained Optimization in Python
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
Guiding Visual Autoregressive Models through Spectrum Weakening
AerialBooth: Mutual Information Guidance for Text Controlled Aerial View Synthesis from a Single Image
Learning-based Safe Symbolic Abstractions for Nonlinear Control Systems
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification
Extended convexity and smoothness and their applications in deep learning
Hybrid Heuristic-Based Artificial Immune System for Task Scheduling
Simple constructions of linear-depth t-designs and pseudorandom unitaries
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
A Generator Framework For Evolving Variant-Rich Software
Persistent Hierarchy in Contemporary International Collaboration
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction
CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Early Detection of Promoted Campaigns on Social Media
All Thresholds Barred: Direct Estimation of Call Density in Bioacoustic Data
Learning-based Formal Synthesis of Cooperative Multi-agent Systems
Quantitative Stability and Error Estimates for Optimal Transport Plans
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images
Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment
Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics
Extended monocular 3D imaging
Mutual Information Tracks Policy Coherence in Reinforcement Learning
Quantizing Whisper-small: How design choices affect ASR performance
Peak-to-average power ratio of good codes for Gaussian channel
Distance Map Supervised Landmark Localization for MR-TRUS Registration
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence
Blind Ptychography via Blind Deconvolution
Measurement-based feedback control of linear quantum stochastic systems with quadratic-exponential criteria
Quantum optimal transport is cheaper
Unified Subharmonic Oscillation Conditions for Peak or Average Current Mode Control
UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry
Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics
M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Nonlinearity in stock networks
Redundancy, Deduction Schemes, and Minimum-Size Bases for Association Rules
Learning Robust Features for Gait Recognition by Maximum Margin Criterion
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Achieving Differential Privacy using Methods from Calculus
Latent Action Pretraining Through World Modeling
Engineering Challenges in All-photonic Quantum Repeaters
Mitigating annotation shift in cancer classification using single image generative models
Privacy in Information-Rich Intelligent Infrastructure
Artificial intelligence for context-aware visual change detection in software test automation
Advanced Text Analytics - Graph Neural Network for Fake News Detection in Social Media
Robust Neural Networks Outperform Attitude Estimation Filters
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields
Nonlinear systems for unconventional computing
Synthetic PET via Domain Translation of 3D MRI
Polynomial Graph Parsing with Non-Structural Reentrancies
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
Understanding the Impact of Post-Training Quantization on Large Language Models
The Hidden Game Problem
Visualization and Analysis of Wearable Health Data From COVID-19 Patients
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System
Automatic Spectral Calibration of Hyperspectral Images:Method, Dataset and Benchmark
Convolutional Networks for Spherical Signals
A Secure Asynchronous FPGA Architecture, Experimental Results and Some Debug Feedback
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
On the use of Wasserstein metric in topological clustering of distributional data
Alethe: Towards a Generic SMT Proof Format (extended abstract)
Trace Repair for Temporal Behavior Trees
High-level Codes and Fine-grained Weights for Online Multi-modal Hashing Retrieval
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
Cryptocurrency Trading: A Comprehensive Survey
On Multi-Relational Link Prediction with Bilinear Models
Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery
Towards The Development of a Bishnupriya Manipuri Corpus
Recent Results of Energy Disaggregation with Behind-the-Meter Solar Generation
ChronoForge-RL: Chronological Forging through Reinforcement Learning for Enhanced Video Understanding
A Checklist for the Evaluation of Pedestrian Simulation Software Functionalities
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
Analyzing Nobel Prize Literature with Large Language Models
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
A proposed "osi based" network troubles identification model
On The Dynamical Nature Of Computation
Multi-Cluster Aggregative Games: A Linearly Convergent Nash Equilibrium Seeking Algorithm and its Applications in Energy Management
A new constraint of the Hamilton cycle algorithm
CSI Sensing from Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach
Joint Optimization of Radio Resources and Code Partitioning in Mobile Cloud Computing
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation
Causal-Aware Graph Neural Architecture Search under Distribution Shifts
Frustratingly Easy Task-aware Pruning for Large Language Models
Scalings for Tokamak Energy Confinement
Coronavirus Knowledge Graph: A Case Study
Stabilizer-free Weak Galerkin Methods for Quad-Curl Problems on polyhedral Meshes without Convexity Assumptions
Kinematics of Abdominal Aortic Aneurysms
Synergistic and Efficient Edge-Host Communication for Energy Harvesting Wireless Sensor Networks
On the non-randomness of maximum Lempel Ziv complexity sequences of finite size
Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation
Stellar Resolution: Multiplicatives
Coca4ai: checking energy behaviors on AI data centers
Cutoff Phenomenon for Random Walks on Kneser Graphs
A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models
Information Transfer in Swarms with Leaders
Alternating Linear Bandits for Online Matrix-Factorization Recommendation
Using Reinforcement Learning to Validate Empirical Game-Theoretic Analysis: A Continuous Double Auction Study
HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis
Reachability Analysis of Neural Networks with Uncertain Parameters
JVLGS: Joint Vision-Language Gas Leak Segmentation
Streamlining Compliance And Risk Management with Regtech Solutions
Query, Don't Train: Privacy-Preserving Tabular Prediction from EHR Data via SQL Queries
Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning
DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
Network Degeneracy as an Indicator of Training Performance: Comparing Finite and Infinite Width Angle Predictions
K-sparse Pure State Tomography with Phase Estimation
LODGE: Joint Hierarchical Task Planning and Learning of Domain Models with Grounded Execution
A fully implicit method using nodal radial basis functions to solve the linear advection equation
A Framework of Defining, Modeling, and Analyzing Cognition Mechanisms
Robust Depth-based Person Re-identification
Blind Source Separation of Radar Signals in Time Domain Using Deep Learning
Binary Linear Codes with Optimal Scaling and Quasi-Linear Complexity
Adaptive Accelerated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization
UTD-Yolov5: A Real-time Underwater Targets Detection Method based on Attention Improved YOLOv5
Turbo-like Iterative Multi-user Receiver Design for 5G Non-orthogonal Multiple Access
Pseudo-random graphs and bit probe schemes with one-sided error
JsStories: Improving Social Inclusion in Computer Science Education Through Interactive Stories
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation
The Paulsen Problem, Continuous Operator Scaling, and Smoothed Analysis
Towards Narrative Medical Visualization
Locally Differentially Private Bayesian Inference
Subgroup Validity in Machine Learning for Echocardiogram Data
Theory of Finite or Infinite Trees Revisited
Predicting epidemic risk from past temporal contact data
LLMs as Repositories of Factual Knowledge: Limitations and Solutions
Power Weighted Shortest Paths for Unsupervised Learning
Keyword Mamba: Spoken Keyword Spotting with State Space Models
Target to Source: Guidance-Based Diffusion Model for Test-Time Adaptation
Clinical Trials Protocol Authoring using LLMs
Meta Continual Learning
Informationally complete measurements from compressed sensing methodology
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Neural representation of a time optimal, constant acceleration rendezvous
Representation learning with function call graph transformations for malware open set recognition
Modern Design Methodologies and the Development of Mechatronic Products
Testing predictive automated driving systems: lessons learned and future recommendations
Outlier Detection for DNA Fragment Assembly
Introduction to WOSPP: Wave Oriented Swarm Programming Paradigm
A High-Dimensional Feature Selection Algorithm Based on Multiobjective Differential Evolution
Ranking-based Deep Cross-modal Hashing
Fine-Grained Chinese Hate Speech Understanding: Span-Level Resources, Coded Term Lexicon, and Enhanced Detection Frameworks
On the Cost of Security Compliance in Information Systems
A Hybrid Monte Carlo, Discontinuous Galerkin method for linear kinetic transport equations
Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU \& GPU systems
Power-optimal, stabilized entangling gate between trapped-ion qubits
Beamforming Design for Hybrid IRS-aided AF Relay Wireless Networks
Real-Time Outlier Detection with Dynamic Process Limits
Accurate Measurement of Power Consumption Overhead During FPGA Dynamic Partial Reconfiguration
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search
Time-Ordered Product Expansions for Computational Stochastic Systems Biology
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Sparse Representation-based Image Quality Assessment
Neural Davidsonian Semantic Proto-role Labeling
Referring Expression Grounding by Marginalizing Scene Graph Likelihood
Opportunistic Federation of CubeSat Constellations: a Game-Changing Paradigm Enabling Enhanced IoT Services in the Sky
Phase retrieval of complex-valued objects via a randomized Kaczmarz method
A Delay Analysis of Maximal Matching Switching with Speedup
SlideTailor: Personalized Presentation Slide Generation for Scientific Papers
Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework
A MAP-Based Layered Detection Algorithm and Outage Analysis over MIMO Channels
Monte Carlo Tree Search for high precision manufacturing
A Survey on Workflow Satisfiability, Resiliency, and Related Problems
Whole Sampling Generation of Scale-Free Graphs
Quantum Adiabatic Generation of Human-Like Passwords
Improving IR-based Bug Localization with Semantics-Driven Query Reduction
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries
Efficient Direct Slicing Of Dilated And Eroded 3d Models For Additive Manufacturing: Technical Report
Learning to Attribute with Attention
MDS Stabilizer Poset Codes
Capturing Lombardi Flow in Orthogonal Drawings by Minimizing the Number of Segments
A general isogeometric finite element formulation for rotation-free shells with embedded fibers and in-plane bending
An Improved Pure Fully Connected Neural Network for Rice Grain Classification
A Demographic Attribute Guided Approach to Age Estimation
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
Foley Sound Synthesis at the DCASE 2023 Challenge
Kinect Range Sensing: Structured-Light versus Time-of-Flight Kinect
A Graph-based Strategic Sensor Deployment Approach for k-coverage in WSN
Graph Realizations: Maximum and Minimum Degree in Vertex Neighborhoods
Confidentiality-Preserving Verifiable Business Processes through Zero-Knowledge Proofs
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
An investigation into the state-of-the-practice autonomous driving testing
Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
Knowledge Soft Integration for Multimodal Recommendation
Tutorial: a priori estimation of sample size, effect size, and statistical power for cluster analysis, latent class analysis, and multivariate mixture models
Real and complexified configuration spaces for spherical 4-bar linkages
BP Variability Case Studies Development using different Modeling Approaches
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
Outlyingness Scores with Cluster Catch Digraphs
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement
Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder
A curated Dataset of Microservices-Based Systems
UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization
From Local To Global Optimality in Concurrent Parity Games
Per-antenna Constant Envelope Precoding for Large Multi-User MIMO Systems
LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
3D Shape Augmentation with Content-Aware Shape Resizing
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Integrated Structural Prompt Learning for Vision-Language Models
Inferring Network Structure with Unobservable Nodes from Time Series Data
Making Design Practices Visible to Young Learners
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning
A note on X-rays of permutations and a problem of Brualdi and Fritscher
Logical indetermination coupling: a method to minimize drawing matches and its applications
Weighted-norm preconditioners for a multi-layer tide model
DeepRTE: Pre-trained Attention-based Neural Network for Radiative Tranfer
Matrices of Forests and the Analysis of Digraphs
Adapting to Fragmented and Evolving Data: A Fisher Information Perspective
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty
Mesosome Avoidance
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Simon's Anthill: Mapping and Navigating Belief Spaces
Demo: Generative AI helps Radiotherapy Planning with User Preference
Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization
A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
Conversational Help for Task Completion and Feature Discovery in Personal Assistants
Global Context Aware RCNN for Object Detection
A Small-Order-Polynomial-Sized Linear Program for Solving the Traveling Salesman Problem
Lost in Translation, Found in Embeddings: Sign Language Translation and Alignment
Power Control for Maximum Throughput in Spectrum Underlay Cognitive Radio Networks
Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks
Instant restore after a media failure
3D Deformable Object Manipulation using Fast Online Gaussian Process Regression
PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression
Automata-based Quantitative Verification
Two problems of P. Erdős on matchings in set families
Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting
Statistical Analysis of Loopy Belief Propagation based on Replica Cluster Variation Method
Multi-lingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
A simple approach to proving the existence, uniqueness, and strong and weak convergence rates for a broad class of McKean-Vlasov equations
Service Oriented Architecture in Network Security - a novel Organisation in Security Systems
Rethinking Two Consensuses of the Transferability in Deep Learning
Technical Report: Selective Imaging of File System Data on Live Systems
Exploring Chebyshev Polynomial Approximations: Error Estimates for Functions of Bounded Variation
Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems
From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no Libraries
State and Parameter Estimation for Natural Gas Pipeline Networks using Transient State Data
Second language Korean Universal Dependency treebank v1.2: Focus on data augmentation and annotation scheme refinement
Dependency Parsing with the Structuralized Prompt Template
An Overview of Schema Theory
A theoretical analysis of mass scaling techniques
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features
Radius-Guided Post-Clustering for Shape-Aware, Scalable Refinement of k-Means Results
MAGE-ID: A Multimodal Generative Framework for Intrusion Detection Systems
Strategyproof Facility Location Mechanisms with Richer Action Spaces
Phase Retrieval of Real-Valued Signals in a Shift-Invariant Space
Querying Graph-Relational Data
Detecting Interrogative Utterances with Recurrent Neural Networks
ForestFirewalls: Getting Firewall Configuration Right in Critical Networks (Technical Report)
CustomSketching: Sketch Concept Extraction for Sketch-based Image Synthesis and Editing
Multi-Agent eXperimenter (MAX)
What do AI algorithms actually learn? - On false structures in deep learning
Adaptivity and Confounding in Multi-Armed Bandit Experiments
Fairness Constraints in Semi-supervised Learning
An apocalypse-free first-order low-rank optimization algorithm with at most one rank reduction attempt per iteration
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
On the complexity of normalization for the planar λ-calculus
Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models
Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
Quantum intersection and union
Toward bio-inspired information processing with networks of nano-scale switching elements
Capacity Achieving Codes for the Wire Tap Channel with Applications to Quantum Key Distribution
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
Learning with Errors is easy with quantum samples
Generative Adversarial Nets: Can we generate a new dataset based on only one training set?
Extremal Structures with Embedded Pre-Failure Indicators
DDPEN: Trajectory Optimisation With Sub Goal Generation Model
Zoo3D: Zero-Shot 3D Object Detection at Scene Level
Realistic simulation of users for IT systems in cyber ranges
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Representation Learning for Stack Overflow Posts: How Far are We?
Demo: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3 (GenOnet)
MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models
Toward Moiré-Free and Detail-Preserving Demosaicking
VoronoiNet: General Functional Approximators with Local Support
Psittacines of Innovation? Assessing the True Novelty of AI Creations
Conditional Coding and Variable Bitrate for Practical Learned Video Coding
Global cognitive radio based communication systems: Space-time communications
Robust Heterogeneous Network to Support Multitasking
Comparison research on binary relations based on transitive degrees and cluster degrees
Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning
Real-Time And Robust 3D Object Detection with Roadside LiDARs
Optimizing Predictive Maintenance in Intelligent Manufacturing: An Integrated FNO-DAE-GNN-PPO MDP Framework
BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings
Function based sim-to-real learning for shape control of deformable free-form surfaces