yusuke1997/dblp-id-title huggingface dataset:
Efficient UAV Trajectory-Planning using Economic Reinforcement Learning
Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles
The Impact of Visual Appearance on User Response in Online Display Advertising
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
The exponential family in abstract information theory
Malware Lineage in the Wild
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping
Deep learning Inversion of Seismic Data
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains
Verifying MILP Certificates with SMT Solvers
Reverse em-problem based on Bregman divergence and its application to classical and quantum information theory
ε-Uniform Mixing in Discrete Quantum Walks
Using LLM-Based Approaches to Enhance and Automate Topic Labeling
Performance Analysis of Integrated Sensing and Communication Networks with Blockage Effects
Optimal Controller and Quantizer Selection for Partially Observable Linear-Quadratic-Gaussian Systems
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
Reachability of Dimension-Bounded Linear Systems
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multi-Agent Communication
Attaining Capacity with Algebraic Geometry Codes through the (U|U+V) Construction and Koetter-Vardy Soft Decoding
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning
Dynamic Spectrum Sensing Using a Novel Accelerated Particle Swarm Optimization Algorithm
The Pilot Alignment Pattern Design in OFDM Systems
Identifying optimal targets of network attack by belief propagation
NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience
Multicriteria design and experimental verification of hybrid renewable energy systems. Application to electric vehicle charging stations
Text Classification using Graph Convolutional Networks: A Comprehensive Survey
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method
Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis
Automated Journalistic Questions: A New Method for Extracting 5W1H in French
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)
Large Language Models Imitate Logical Reasoning, but at what Cost?
Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition
High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling
Vector Cost Bimatrix Games with Applications to Autonomous Racing
PLCNet: Patch-wise Lane Correction Network for Automatic Lane Correction in High-definition Maps
Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning
Enhancing Numeric-SAM for Learning with Few Observations
Repairing Deep Neural Networks Based on Behavior Imitation
Fair-GNE : Generalized Nash Equilibrium-Seeking Fairness in Multiagent Healthcare Automation
Improved Support Recovery in Universal One-bit Compressed Sensing
A Topic-aware Comparable Corpus of Chinese Variations
New Risk Modeling Method for Robust Learning on Smaller Samples
Managing the Complexity of Processing Financial Data at Scale - an Experience Report
Intercepting Hail Hydra: Real-Time Detection of Algorithmically Generated Domains
HELP: Hierarchical Embeddings-based Log Parsing
Quantum Power Flows: From Theory to Practice
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement
Hinting Semantic Parsing with Statistical Word Sense Disambiguation
A Dual-Modulation Framework for RGB-T Crowd Counting via Spatially Modulated Attention and Adaptive Fusion
MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions
Adaptive Lighting Control in Visible Light Systems: An Integrated Sensing, Communication, and Illumination Framework
RAN Enablers for 5G Radio Resource Management
Improving learnability of neural networks: adding supplementary axes to disentangle data representation
3D Mobile Localization Using Distance-only Measurements
Heavy-Tailed Limits for Medium Size Jobs and Comparison Scheduling
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
InfMAE: A Foundation Model in Infrared Modality
Cross-point architecture for spin transfer torque magnetic random access memory
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette
Cubic power functions with optimal second-order differential uniformity
Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario
CWEFS: Brain volume conduction effects inspired channel-wise EEG feature selection for multi-dimensional emotion recognition
Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction
Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent
Semi-fragile watermarking of remote sensing images using DWT, vector quantization and automatic tiling
Efficient Competitive Self-Play Policy Optimization
SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media
Afternote to Coupling at a distance: convergence analysis and a priori error estimates
Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk
High-Frequency Tunable Grounded & Floating Incremental-Decremental Meminductor Emulator and Application
Proceedings Ninth International Workshop on Reduction Strategies in Rewriting and Programming, WRS 2009, Brasilia, Brazil, 28th June 2009
Accelerating Large Language Models through Partially Linear Feed-Forward Network
Performance Weighting for Robust Federated Learning Against Corrupted Sources
Do Neural Nets Learn Statistical Laws behind Natural Language?
Constructor algorithms for building unconventional computers able to solve NP-complete problems
Explicit Capacity-achieving Codes for Worst-Case Additive Errors
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos
Probabilistic Bounds for Data Storage with Feature Selection and Undersampling
Robust Non-parametric Knowledge-based Diffusion Least Mean Squares over Adaptive Networks
Taming the Fragility of KV Cache Eviction in LLM Inference
Ontology-based Data Access: A Study through Disjunctive Datalog, CSP, and MMSNP
Robust Variational Bayes by Min-Max Median Aggregation
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Deep 2FBSDEs for Systems with Control Multiplicative Noise
Dealing with Data Challenges when Delivering Data-Intensive Software Solutions
Multi-user Visible Light Communications with Probabilistic Constellation Shaping and Precoding
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation
A New Type of Cipher: DICING_csb
AW-EL-PINNs: A Multi-Task Learning Physics-Informed Neural Network for Euler-Lagrange Systems in Optimal Control Problems
Parametric Models Analysed with Linear Maps
Quantifying human performance in chess
An Antithetic Multilevel Monte Carlo-Milstein Scheme for Stochastic Partial Differential Equations
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
Quad-cone-rotor: A Novel Tilt Quadrotor with Severe-fault-tolerant Ability
k-simplex2vec: a simplicial extension of node2vec
Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft
Variable selection for clustering with Gaussian mixture models: state of the art
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
"Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset
Orthogonal iterations on Structured Pencils
Compressed Sensing Matrices: Binary vs. Ternary
Specification and Optimal Reactive Synthesis of Run-time Enforcement Shields
A note on the hull and linear complementary pair of cyclic codes
Emergence of the Traffic Autonomous Zone (TAZ) for Telecommunication Operations from Spatial Heterogeneity in Cellular Networks
Persistent Homology of Complex Networks for Dynamic State Detection
A dimension-oblivious domain decomposition method based on space-filling curves
The Reach-Avoid Problem for Constant-Rate Multi-Mode Systems
Isometric Deformations of Discrete and Smooth T-surfaces
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
Masked Autoencoder with Swin Transformer Network for Mitigating Electrode Shift in HD-EMG-based Gesture Recognition
DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
Few-shot Compositional Font Generation with Dual Memory
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce
Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices
Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes
A Riemannian Accelerated Proximal Extragradient Framework and its Implications
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Improved subspace estimation for multivariate observations of high dimension: the deterministic signals case
Comments on 'Design and Implementation of Model-Predictive Control With Friction Compensation on an Omnidirectional Mobile Robot'
Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence
StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D
RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition
Entanglement Swapping in Quantum Switches: Protocol Design and Stability Analysis
Online Rack Placement in Large-Scale Data Centers
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
Real-Time Fine-Grained Air Quality Sensing Networks in Smart City: Design, Implementation and Optimization
Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction
Unsupervised Abnormality Detection through Mixed Structure Regularization (MSR) in Deep Sparse Autoencoders
Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate
ORV: 4D Occupancy-centric Robot Video Generation
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiency
AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers
A novel Fourier neural operator framework for classification of multi-sized images: Application to 3D digital porous media
Generative Humanization for Therapeutic Antibodies
SlabLU: A Sparse Direct Solver for Elliptic PDEs on Rectangular Domains
Towards a Theory of Maximal Extractable Value I: Constant Function Market Makers
Energy-Efficient Strip Monitoring by Identical Devices Directed to One Side Along the Strip and Having a Coverage Area in the Form of a Sector
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
How Good Are Large Language Models at Out-of-Distribution Detection?
Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers
Temporal Logic Resilience for Dynamical Systems
Improving training of deep neural networks via Singular Value Bounding
Tales of Emotion and Stock in China: Volatility, Causality and Prediction
Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling
Delegation Management Modeling in a Security Policy based Environment
Mathematical analysis of a discrete fracture model coupling Darcy flow in the matrix with Darcy-Forchheimer flow in the fracture
LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT
A fractional model for anomalous diffusion with increased variability. Analysis, algorithms and applications to interface problems
PELCR: Parallel Environment for Optimal Lambda-Calculus Reduction
Learning to Bound the Multi-class Bayes Error
Sparse highly connected spanning subgraphs in dense directed graphs
Geometric Learning of Canonical Parameterizations of 2D-curves
Do Deep Neural Networks Forget Facial Action Units? - Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Sequentially Auditing Differential Privacy
Channel Coding based on Skew Polynomials and Multivariate Polynomials
Manipulator control of the Robotized TMS System with Incurved TMS Coil Case
Considerations Regarding the Flux Estimation in Induction Generator with Application at the Control of Unconventional Energetic Conversion Systems
Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection
CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
Accelerated Insulation Aging Due to Fast, Repetitive Voltages: A Review Identifying Challenges and Future Research Needs
Width-parameterized SAT: Time-Space Tradeoffs
A Game of Life on Penrose tilings
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning
Cyclic proof theory of positive inductive definitions
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming
Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation
Steady States and Well-balanced Schemes for Shallow Water Moment Equations with Topography
Toward Emerging Topic Detection for Business Intelligence: Predictive Analysis of 'Meme' Dynamics
A Hardware Ray Tracer Datapath with Generalized Features
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification
Variational Masked Diffusion Models
Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks
Towards Signal Processing In Large Language Models
Motif Discovery Framework for Psychiatric EEG Data Classification
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff
Assessment of U.S. Department of Transportation Lane-Level Map for Connected Vehicle Applications
Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring
Formal Languages via Theories over Strings
Scale-free networks as pre-asymptotic regimes of super-linear preferential attachment
A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile Robots
Version Space Algebras are Acyclic Tree Automata
Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images
An Online Deep Learning Approach Toward the Prediction of Power System Stresses Using Voltage Phasors
Solving Constrained Horn Clauses Using Dependence-Disjoint Expansions
AutoPrune: Each Complexity Deserves a Pruning Policy
Getting Started with PATSTAT Register
Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing
A Serverless Architecture for Real-Time Stock Analysis using Large Language Models: An Iterative Development and Debugging Case Study
PE-AONT: Partial Encryption combined with an All-or-Nothing Transform
Score Mismatching for Generative Modeling
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
Validating Properties of RIS Channel Models with Prototypical Measurements
Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends
Snapshot Ensembles: Train 1, get M for free
Further results on arc and bar k-visibility graphs
Online Hate: Behavioural Dynamics and Relationship with Misinformation
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification
On the system F as a glue language for natural-language compositional-semantics
Maximizing spreading influence via measuring influence overlap for social networks
Ordre public exceptions for algorithmic surveillance patents
Community Detection Across Emerging Quantum Architectures
Error Rates for Kernel Classification under Source and Capacity Conditions
Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function
Applying an Ensemble Learning Method for Improving Multi-label Classification Performance
Real-Time Robust Finger Gaits Planning under Object Shape and Dynamics Uncertainties
ShadowWolf - Automatic Labelling, Evaluation and Model Training Optimised for Camera Trap Wildlife Images
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems
Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning
Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks
The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
Toward Sustainability-Aware LLM Inference on Edge Clusters
The Necessity of Scheduling in Compute-and-Forward
A Toolbox for Refined Information-Theoretic Analyses with Applications
GalliformeSpectra: A Hen Breed Dataset
Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market
Eventual linear convergence of the Douglas Rachford iteration for basis pursuit
A machine-learning software-systems approach to capture social, regulatory, governance, and climate problems
Sentiment Analysis with R: Natural Language Processing for Semi-Automated Assessments of Qualitative Data
Tree-Regularized Tabular Embeddings
Expectation Propogation for approximate inference in dynamic Bayesian networks
Loopy annealing belief propagation for vertex cover and matching: convergence, LP relaxation, correctness and Bethe approximation
Sky Background Building of Multi-objective Fiber spectra Based on Mutual Information Network
PER Measurement of BLE in RF Interference and Harsh Electromagnetic Environment
A Comparative Study and Implementation of Key Derivation Functions Standardized by NIST and IEEE
Generic System Verilog Universal Verification Methodology based Reusable Verification Environment for Efficient Verification of Image Signal Processing IPs/SoCs
Forecasting Evolution of Clusters in StarCraft II with Hebbian Learning
Linear random generation of Motzkin trees
Can machine learning unlock new insights into high-frequency trading?
State Complexity of Testing Divisibility
AEAKA: An Adaptive and Efficient Authentication and Key Agreement Scheme for IoT in Cloud-Edge-Device Collaborative Environments
Supercloseness of the LDG method for a two-dimensional singularly perturbed convection-diffusion problem on Bakhvalov-type mesh
Novel Component-Based Development Model for SIP-Based Mobile Application (1202)
Optimal Distributed Multi-Robot Communication-Aware Trajectory Planning using Alternating Direction Method of Multipliers
Distributed Estimation of Dynamic Parameters : Regret Analysis
Security Trust Zone in 5G Networks
Data-Efficient Multi-Agent Spatial Planning with LLMs
Robustly Stable Signal Recovery in Compressed Sensing with Structured Matrix Perturbation
Ontology as a Source for Rule Generation
Uncertainty Quantification for Geometry Deformations of Superconducting Cavities using Eigenvalue Tracking
A Design-Space Exploration for Allocating Security Tasks in Multicore Real-Time Systems
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems
OAT-Rephrase: Optimization-Aware Training Data Rephrasing for Zeroth-Order LLM Fine-Tuning
Constraint-based verification of abstract models of multitreaded programs
Exploring motivation and teamwork in a large software engineering capstone course during the coronavirus pandemic
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
A Microservice Graph Generator with Production Characteristics
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
Flow-based Kernel Prior with Application to Blind Super-Resolution
On the Computational Power of RNNs
Multi-task Online Learning for Probabilistic Load Forecasting
Decentralized Planning for Car-Like Robotic Swarm in Unstructured Environments
SentiMATE: Learning to play Chess through Natural Language Processing
Local Differentially Private Frequency Estimation based on Learned Sketches
Tunnel Facility-based Vehicle Localization in Highway Tunnel using 3D LIDAR
Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks
Agnostic Distribution Learning via Compression
Corrfunc: Blazing fast correlation functions with AVX512F SIMD Intrinsics
Efficient Path-Sensitive Data-Dependence Analysis
Sarcasm Detection using Hybrid Neural Network
On the Computational Complexity of Length- and Neighborhood-Constrained Path Problems
Generalize Symbolic Knowledge With Neural Rule Engine
Human-Supervised Semi-Autonomous Mobile Manipulators for Safely and Efficiently Executing Machine Tending Tasks
A φ-Competitive Algorithm for Scheduling Packets with Deadlines
Cluster analysis of homicide rates in the Brazilian state of Goias from 2002 to 2014
Direction Estimation of Sound Sources Using Microphone Arrays and Signal Strength
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence
MammothModa: Multi-Modal Large Language Model
Large-Scale Structure of Chaotic Attractors in FitzHugh-Rinzel model
AttentionStore: Cost-effective Attention Reuse across Multi-turn Conversations in Large Language Model Serving
NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling
Exponentially Fast Parameter Estimation in Networks Using Distributed Dual Averaging
SAO-Instruct: Free-form Audio Editing using Natural Language Instructions
Offline Comparison of Ranking Functions using Randomized Data
Rethinking Image Mixture for Unsupervised Visual Representation Learning
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Small Moving Object Detection Algorithm in Surveillance Video Based on Motion Information
Coalgebraic Characterizations of Context-Free Languages
Handgun detection using combined human pose and weapon appearance
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
Proceedings 14th International Conference on Automata and Formal Languages, AFL 2014, Szeged, Hungary, May 27-29, 2014
Was that so hard? Estimating human classification difficulty
Polynomial-based Self-Attention for Table Representation learning
Measuring Privacy Leakage for IDS Rules
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition
Federated and Differentially Private Learning for Electronic Health Records
How do Retail Stores Affect Pedestrian Walking Speed: An Empirical Observation