yusuke1997/dblp-id-title huggingface dataset:
Characterizing the Impact of SNR Heterogeneity on Time-of-Arrival based Localization Outage Probability
Elastic_HH: Tailored Elastic for Finding Heavy Hitters
D2PPO: Diffusion Policy Policy Optimization with Dispersive Loss
Object level footprint uncertainty quantification in infrastructure based sensing
Fast Convergence of MCMC Algorithms for Phylogenetic Reconstruction with Homogeneous Data on Closely Related Species
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective
Modelling Metropolitan-area Ambulance Mobility under Blue Light Conditions
AdaOja: Adaptive Learning Rates for Streaming PCA
Hopf Physical Reservoir Computer for Reconfigurable Sound Recognition
How the interplay between power concentration, competition, and propagation affects the resource efficiency of distributed ledgers
Polish Medical Exams: A new dataset for cross-lingual medical knowledge transfer assessment
Quantifying Epistemic Uncertainty in Deep Learning
Context-aware Dynamic Block
Lessons From Red Teaming 100 Generative AI Products
Linear Causal Discovery with Interventional Constraints
Learning to Navigate in Indoor Environments: from Memorizing to Reasoning
Resolution of Simpson's paradox via the common cause principle
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos
Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability
SSR: SAM is a Strong Regularizer for domain adaptive semantic segmentation
MAC: ModAlity Calibration for Object Detection
Time Synchronization Attack in Smart Grid-Part I: Impact and Analysis
Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes
Your Turn: At Home Turning Angle Estimation for Parkinson's Disease Severity Assessment
Scheduling for Stable and Reliable Communication over Multiaccess Channels and Degraded Broadcast Channels
Adversarial Frontier Stitching for Remote Neural Network Watermarking
SkyOctopus: Enabling Low-Latency Mobile Satellite Network through Multiple Anchors
Fact-based Dialogue Generation with Convergent and Divergent Decoding
The Capacity Region of Restricted Multi-Way Relay Channels with Deterministic Uplinks
Self-diffusion for Solving Inverse Problems
Combinatorial structure of type dependency
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Design and Implementation a 8 bits Pipeline Analog to Digital Converter in the Technology 0.6µm CMOS Process
A point cloud approach to generative modeling for galaxy surveys at the field level
A Freely Available Syntactic Lexicon for English
SlangDIT: Benchmarking LLMs in Interpretative Slang Translation
Eigenvalues of symmetric tridiagonal interval matrices revisited
Cybersecurity: Past, Present and Future
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection
Skill-based Safe Reinforcement Learning with Risk Planning
Characterization of Noise using variants of Unitarity Randomized Benchmarking
SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration
Evidence for Limited Metacognition in LLMs
Derivatives of tree tensor networks and its applications in Runge-Kutta methods
On the Evolution of Time Horizons in Parallel and Grid Simulations
LAFITE: Towards Language-Free Training for Text-to-Image Generation
Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
A Family of Three-Weight Binary Linear Codes
AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling
Identification of Fine-grained Systematic Errors via Controlled Scene Generation
A Lightweight Method for Defending Against UAF Vulnerabilities
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model
Toward Photon-Efficient Key Distribution over Optical Channels
Multiprecision computing for multistage fractional physics-informed neural networks
Economics of Sourcing Human Data
Deterministic Capacity of MIMO Relay Networks
LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering
Discrete, compositional, and symbolic representations through attractor dynamics
Improving Earth-like planet detection in radial velocity using deep learning
A Comparative Analysis on Ethical Benchmarking in Large Language Models
Single Image Reflection Removal through Cascaded Refinement
Specification and Detection of LLM Code Smells
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
Neural Additive Image Model: Interpretation through Interpolation
Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation
2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenes
Ground Manipulator Primitive Tasks to Executable Actions using Large Language Models
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models
Enhancing Multi-Image Question Answering via Submodular Subset Selection
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation
An Essay concerning machine understanding
Electronic Observables for Relaxed Bilayer 2D Heterostructures in Momentum Space
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
Function Contrastive Learning of Transferable Representations
Bohr sets generated by polynomials and Coppersmith's method in many variables
Dual Core-EP Generalized Inverse and Decomposition
Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment
Securing Integrated Sensing and Communication Against a Mobile Adversary: A Stackelberg Game with Deep Reinforcement Learning
Stable Training of Normalizing Flows for High-dimensional Variational Inference
Modeling and Simulation of UAV Carrier Landings
Sorting by Strip Swaps is NP-Hard
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation
Can LLMs Explain Themselves Counterfactually?
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling
Decomposing Densification in Gaussian Splatting for Faster 3D Scene Reconstruction
Generalised turbulence spectra for broadband noise predictions with the Random Particle Mesh method
Text encoders are performance bottlenecks in contrastive vision-language models
Robot-mediated physical Human-Human Interaction in Neurorehabilitation: a position paper
Discrimination in machine learning algorithms
Hilbert curves in 2 dimensions generated by L-systems
Solving the Job Shop Scheduling Problem with Ant Colony Optimization
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Local Minima Drive Communications in Cooperative Interaction
Source Coding Optimization for Distributed Average Consensus
Structure-Fair Quantum Circuit Complexity: An Information-Theoretic Lower Bound
The bunkbed conjecture is false
Conjugated Capabilities: Interrelations of Elementary Human Capabilities and Their Implication on Human-Machine Task Allocation and Capability Testing Procedures
Cancer classification and pathway discovery using non-negative matrix factorization
Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service Co-Creation with LLM-Based Agents
Testing Microfluidic Fully Programmable Valve Arrays (FPVAs)
Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
Generating k-Facets by Induction on the Dimension
Are LLMs Rigorous Logical Reasoner? Empowering Natural Language Proof Generation with Contrastive Stepwise Decoding
Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation
Program Feature-based Fuzzing Benchmarking
Identification and explanation of disinformation in wiki data streams
DeepAtlas: a tool for effective manifold learning
Federated Domain Generalization with Latent Space Inversion
How consistent are our discourse annotations? Insights from mapping RST-DT and PDTB annotations
Element Level Differential Privacy: The Right Granularity of Privacy
Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
Enhancing Aspect-based Sentiment Analysis with ParsBERT in Persian Language
Evaluating the weight sensitivity in AHP-based flood risk estimation models
Intrusion-aware Alert Validation Algorithm for Cooperative Distributed Intrusion Detection Schemes of Wireless Sensor Networks
Joint Task Allocation and Scheduling for Multi-Hop Distributed Computing
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach
Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library
Proving Unsolvability of Set Agreement Task with Epistemic mu-Calculus
Internet Protocol Version 6: Dead or Alive?
Walrasian Dynamics in Multi-unit Markets
A new Backdoor Attack in CNNs by training set corruption without label poisoning
A Large-scale Attribute Dataset for Zero-shot Learning
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
Linear Mode Connectivity in Sparse Neural Networks
Paint it Black: Generating paintings from text descriptions
Introduction to Medical Imaging Informatics
Unveiling the Underwater World: CLIP Perception Model-Guided Underwater Image Enhancement
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation
Inflo: News Categorization and Keyphrase Extraction for Implementation in an Aggregation System
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
An Information-Theoretic Proof of a Finite de Finetti Theorem
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
Functorial Manifold Learning and Overlapping Clustering
On Improving Energy Efficiency within Green Femtocell Networks: A Hierarchical Reinforcement Learning Approach
A simple squared-error reformulation for ordinal classification
Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
Non-Correlated Character Recognition using Artificial Neural Network
Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network
Individual Explanations in Machine Learning Models: A Survey for Practitioners
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
Does mapping elites illuminate search spaces? A large-scale user study of MAP-Elites applied to human-AI collaborative design
Estimating the resolution of real images
Geometrical relations between space time block code designs and complexity reduction
Convex Incremental Dissipativity Analysis of Nonlinear Systems
Logic with Verbs
Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification
Pseudo-Rehearsal for Continual Learning with Normalizing Flows
Difference Attention Based Error Correction LSTM Model for Time Series Prediction
Impact of Phonetics on Speaker Identity in Adversarial Voice Attack
The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory
Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming
Studying the Impact of Mood on Identifying Smartphone Users
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges
Memory Capacity of Neural Networks using a Circulant Weight Matrix
Formal Logic-guided Robust Federated Learning against Poisoning Attacks
Harvesting Entities from the Web Using Unique Identifiers - IBEX
OneRec-Think: In-Text Reasoning for Generative Recommendation
Error estimate for regularized optimal transport problems via Bregman divergence
CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data
Balancing the Causal Effects in Class-Incremental Learning
Categories of relations as models of quantum theory
Fisher Information Maximization for Distributed Vector Estimation in Wireless Sensor Networks
Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI
PINN vs LSTM: A Comparative Study for Steam Temperature Control in Heat Recovery Steam Generators
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms
Firewalls to Secure Dynamic LLM Agentic Networks
Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks
The Power Allocation Game on A Network: Computation Issue
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information
A Directional Diffusion Algorithm for Inpainting
Resource allocation for reconfigurable intelligent surface aided broadcast channels
Explanation on Pretraining Bias of Finetuned Vision Transformer
Approximation with Tensor Networks. Part I: Approximation Spaces
Computable Contracts in the Financial Services Industry
3MDiT: Unified Tri-Modal Diffusion Transformer for Text-Driven Synchronized Audio-Video Generation
Large Language Model Enhanced Clustering for News Event Detection
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance
AgroTIC: Bridging the gap between farmers, agronomists, and merchants through smartphones and machine learning
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing
PolicyCLOUD: A prototype of a Cloud Serverless Ecosystem for Policy Analytics
Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping
From Data to Decisions: Distributionally Robust Optimization is Optimal
Complete Disjoint coNP-Pairs but no Complete Total Polynomial Search Problems Relative to an Oracle
Continuous-Time Analysis of Adaptive Optimization and Normalization
Taxi pooling in New York City: a network-based approach to social sharing problems
PLUTO: Pathology-Universal Transformer
Asynchronous Byzantine Consensus on Undirected Graphs under Local Broadcast Model
Answering Query Workloads with Optimal Error under Blowfish Privacy
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning
GradeSQL: Outcome Reward Models for Ranking SQL Queries from Large Language Models
A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More
Data Shift of Object Detection in Autonomous Driving
Cross-Cutting Political Awareness through Diverse News Recommendations
The Pseudoinverse of A=CR is A + =R + C + (?)
Heterogeneous Graph Neural Network for Recommendation
Graph Annotations in Modeling Complex Network Topologies
FIPER: Generalizable Factorized Fields for Joint Image Compression and Super-Resolution
Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo
Determining a Loop Material Flow Pattern for Automatic Guided Vehicle Systems on a Facility Layout
Ontology alignment repair through modularization and confidence-based heuristics
Domain-shift adaptation via linear transformations
Mining Techniques in Network Security to Enhance Intrusion Detection Systems
Back Attention Knowledge Transfer for Low-resource Named Entity Recognition
TICE and normalisation, pour une rénovation universitaire dans les pays du Sud
An abstract semantics of speculative execution for reasoning about security vulnerabilities
How to Build Robust FAQ Chatbot with Controllable Question Generator?
Universal Online Optimization in Dynamic Environments via Uniclass Prediction
An Overview of Meshfree Collocation Methods
Statistical mechanics approach to 1-bit compressed sensing
Event-Based Features Selection and Tracking from Intertwined Estimation of Velocity and Generative Contours
PiKE: Adaptive Data Mixing for Multi-Task Learning Under Low Gradient Conflicts
Implementing Gröbner bases for operads
Exploring the Effects of Data Augmentation for Drivable Area Segmentation
Robust Nearest Neighbour Retrieval Using Targeted Manifold Manipulation
Heterogeneity-Aware Asynchronous Decentralized Training
Multi-head Temporal Latent Attention
A Near-Linear Kernel for Two-Parsimony Distance
GRDD+: An Extended Greek Dialectal Dataset with Cross-Architecture Fine-tuning Evaluation
A Dual-Use Framework for Clinical Gait Analysis: Attention-Based Sensor Optimization and Automated Dataset Auditing
Reliability-Based Collapse Assessment of Wind-Excited Steel Structures within Performance-Based Wind Engineering
Asynchronous Code-Division Random Access Using Convex Optimization
Use of blockchain in the internet of things: a survey
Quantum algorithms for general nonlinear dynamics based on the Carleman embedding
A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
Approximation Algorithms for Restless Bandit Problems
A Recipe for Improved Certifiable Robustness: Capacity and Data
Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs
Pyramid Fusion Dark Channel Prior for Single Image Dehazing
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection
Factorized Machine Learning for Performance Modeling of Massively Parallel Heterogeneous Physical Simulations
Evaluation of Machine Translation Based on Semantic Dependencies and Keywords
Negation: A Pink Elephant in the Large Language Models' Room?
Ransomware 3.0: Self-Composing and LLM-Orchestrated
Preference is More Than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
Dynamic Learning Rate Scheduling based on Loss Changes Leads to Faster Convergence
Transport of Event Equation: Phase Retrieval from Defocus Events
Automatic Organisation, Segmentation, and Filtering of User-Generated Audio Content
Uncovering Singularities in Feynman Integrals via Machine Learning
Semantic Web Today: From Oil Rigs to Panama Papers
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization
Reputation analysis of news sources in Twitter: Particular case of Spanish presidential election in 2019
UniFS: Universal Few-shot Instance Perception with Point Representations
Rethinking Robustness: A New Approach to Evaluating Feature Attribution Methods
Code Optimization on Kepler GPUs and Xeon Phi
Nonnegative Biquadratic Tensors
Pareto Envelope Augmented with Reinforcement Learning: Multi-objective reinforcement learning-based approach for Large-Scale Constrained Pressurized Water Reactor optimization
Mobile-D: An Agile Approach for Mobile Application Development
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
AeroPath: An airway segmentation benchmark dataset with challenging pathology
A Novel Approach to Finding Near-Cliques: The Triangle-Densest Subgraph Problem
Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?
Improving the Training of Graph Neural Networks with Consistency Regularization
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science
𝓁 p -Distances on Multiparameter Persistence Modules
Techniques for Deep Query Understanding
Analyzing Training Using Phase Transitions in Entropy - Part I: General Theory
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data
Information Scientific and Educational Resource "Electrophysics"
Social learning under inferential attacks
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
DOMINO: A Dual-System for Multi-step Visual Language Reasoning
Extremal values of semi-regular continuants and codings of interval exchange transformations
Generalizing the SINDy approach with nested neural networks
Tent transformed order 2 nets and quasi-Monte Carlo rules with quadratic error decay
Dimension of Activity in Random Neural Networks
A hybrid architecture for astronomical computing
When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM Agents
A Systematic Literature Review On Privacy Of Deep Learning Systems
Other Worlds: Using AI to Revisit Cybersyn and Rethink Economic Futures
The SPARQL2XQuery Interoperability Framework
Fuzzy approaches to context variable in fuzzy geographically weighted clustering
A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
Efficient encoding and decoding algorithm for a class of perfect single-deletion-correcting permutation codes
Primal-dual residual networks
Learning Physical-Layer Communication with Quantized Feedback
Temporal Stream Logic: Synthesis beyond the Bools
On the number of simple arrangements of five double pseudolines
A Regularized Convolutional Neural Network for Semantic Image Segmentation
Mobile Agent based Market Basket Analysis on Cloud
JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation
Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Evolutionary Turing in the Context of Evolutionary Machines
ASAP-Textured Gaussians: Enhancing Textured Gaussians with Adaptive Sampling and Anisotropic Parameterization
Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
An MML-based tool for evaluating the complexity of (stochastic) logic theories
A Note on the Assignment Problem with Uniform Preferences
Algorithm for computing semi-Fourier sequences of expressions involving exponentiations and integrations
Green-Blue Stripe Pattern for Range Sensing from a Single Image
POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud
Rational Proofs with Non-Cooperative Provers
Residual-CNDS for Grand Challenge Scene Dataset
Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines
Balanced Virtual Humans Interacting with their Environment
Composing DTI Visualizations with End-user Programming
Restoration algorithms and system performance evaluation for active imagers
Non-cooperatively assembling large structures: a 2D pumping lemma cannot be as powerful as its 1D counterpart
Wireless Traffic Prediction with Large Language Model