yusuke1997/dblp-id-title huggingface dataset:
Extensible Technology-Agnostic Runtime Verification
Online Markov decision processes with policy iteration
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
High-order combined Multi-step Scheme for solving forward Backward Stochastic Differential Equations
The swiss army knife of job submission tools: grid-control
Negative Results in Computer Vision: A Perspective
Mìmir: A real-time interactive visualization library for CUDA programs
One-Step Model Predictive Path Integral for Manipulator Motion Planning Using Configuration Space Distance Fields
SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
Injecting Sustainability in Software Architecture: A Rapid Review
CMOS 2.0 - Redefining the Future of Scaling
CRYPTEXT: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild
CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing
A Proposal for Extending the Common Model of Cognition to Emotion
Personalized Author Obfuscation with Large Language Models
Exploration of AI-Oriented Power System Transient Stability Simulations
RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting
Linear Finite-Field Deterministic Networks With Many Sources and One Destination
Problem Based Learning and Implementations
A Simplified Analysis of the Ascending Auction to Sell a Matroid Base
Bridged Adversarial Training
An Approach to the Implementation of Overlapping Rules in Standard ML
The Trade-offs with Space Time Cube Representation of Spatiotemporal Patterns
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation
Numerical methods and regularity properties for viscosity solutions of nonlocal in space and time diffusion equations
Concurrency Testing in the Linux Kernel via eBPF
Designing the Network Intelligence Stratum for 6G Networks
Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics
Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
Quaternion-based attitude stabilization via discrete-time IDA-PBC
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
Optimal Planning of PV and Battery Resources in Remote Microgrids Considering Degradation Costs: An Iterative Post-Optimization Correction-based Approach
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs
Efficiently Retrieving Function Dependencies in the Linux Kernel Using XSB
Describing Emergency Remote Teaching using a Learning Management System: A South African COVID-19 Study of Resilience through ICT
CDBB West Cambridge Digital Twin: Lessons Learned
Intellectual and social similarity among scholarly journals: an exploratory comparison of the networks of editors, authors and co-citations
Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images
New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling
A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies
FedRec: Federated Learning of Universal Receivers over Fading Channels
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data
Data-Driven Inverse Optimal Control for Continuous-Time Nonlinear Systems
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent
Consensus group decision making under model uncertainty with a view towards environmental policy making
Artificial Intelligence in Environmental Protection: The Importance of Organizational Context from a Field Study in Wisconsin
Image Classification Based on Quantum KNN Algorithm
Compatibility of Fairness and Nash Welfare under Subadditive Valuations
Visibility Optimization for Surveillance-Evasion Games
Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models
No-regret Exploration in Shuffle Private Reinforcement Learning
Multi-task learning of time series and its application to the travel demand
Efficient Patent Searching Using Graph Transformers
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
PARseL: Towards a Verified Root-of-Trust over seL4
Preference-Based Privacy Trading
Ceramics Fragments Digitization by Photogrammetry, Reconstructions and Applications
A New and Practical Design of Cancellable Biometrics: Index-of-Max Hashing
Less is More: Learning Highlight Detection from Video Duration
Quantum Secure Anonymous Communication Networks
Is (Selective) Round-To-Nearest Quantization All You Need?
Empowering Robotics with Large Language Models: osmAG Map Comprehension with LLMs
On subexponential running times for approximating directed Steiner tree and related problems
Recurrent machines for likelihood-free inference
Generalized Reduced-Rank Decompositions Using Switching and Adaptive Algorithms for Space-Time Adaptive Processing
STRIDE : Scene Text Recognition In-Device
A multilevel Monte Carlo method for asymptotic-preserving particle schemes
ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding
REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning
Modeling on Guaranteed QoS for Wireless Sensor Networks: A Network Calculus Method
Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios
RMNAS: A Multimodal Neural Architecture Search Framework For Robust Multimodal Sentiment Analysis
Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation
Suspicious-Taint-Based Access Control for Protecting OS from Network Attacks
Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics
Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference
On graphs of bounded degree that are far from being Hamiltonian
Learning Structured Ordinal Measures for Video based Face Recognition
Automatic Image Colorization with Convolutional Neural Networks and Generative Adversarial Networks
On the Maximal Independent Sets of k-mers with the Edit Distance
GDPR Anti-Patterns: How Design and Operation of Modern Cloud-scale Systems Conflict with GDPR
A new regularisation for time-fractional backward heat conduction problem
Contrastive Learning Augmented Social Recommendations
Interpretable Network Representation Learning with Principal Component Analysis
Adaptive Multilevel Newton: A Quadratically Convergent Optimization Method
Urban context and delivery performance: Modelling service time for cargo bikes and vans across diverse urban environments
Energy Storage State-of-Charge Market Model
Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training
Application of signal analysis to the embedding problem of $\mathbb{Z}^k$-actions
Complexity Constrained Noise-Free CDMA: Optimal Power Distribution and Spectral Efficiency
Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation
Towards Practical Zero-Knowledge Proof for PSPACE
A method for decompilation of AMD GCN kernels to OpenCL
Calculation of Femur Caput Collum Diaphyseal angle for X-Rays images using Semantic Segmentation
Rethinking Image Evaluation in Super-Resolution
Using Early-Learning Regularization to Classify Real-World Noisy Data
Rethinking Batch Normalization in Transformers
An Empirical Study of Modular Bias Mitigators and Ensembles
Towards Polyp Counting In Full-Procedure Colonoscopy Videos
Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
Generalizing Adam To Manifolds For Efficiently Training Transformers
Direct sampling of short paths for contiguous partitioning
A Novel Approach For Analysis of Distributed Acoustic Sensing System Based on Deep Transfer Learning
Daany - DAta ANalYtics on .NET
Legislative effectiveness hangs in the balance: Studying balance and polarization through partitioning signed networks
Birth-Burst in Evolving Networks
Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts
bloomRF: On Performing Range-Queries with Bloom-Filters based on Piecewise-Monotone Hash Functions and Dyadic Trace-Trees
Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping
An Achievable Rate for the MIMO Individual Channel
Applying Test-Paradigms in a Generic Tutoring System Concept for Web-based Learning
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
Robust random walk-like Metropolis-Hastings algorithms for concentrating posteriors
Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
Image stitching with perspective-preserving warping
EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
Cacheback: Speculative Decoding With Nothing But Cache
A Survey of Fairness-Aware Federated Learning
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
Gain-loss-duplication models on a phylogeny: exact algorithms for computing the likelihood and its gradient
Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm
The Landscape of Nonconvex-Nonconcave Minimax Optimization
Transfer Regression via Pairwise Similarity Regularization
A Satisfiability Modulo Theory Approach to Secure State Reconstruction in Differentially Flat Systems Under Sensor Attacks
TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata
Simultaneous Interference-Data Transmission for Secret Key Generation in Distributed IoT Sensor Networks
Putting ChatGPT's Medical Advice to the (Turing) Test
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
(Failure of the) Wisdom of the crowds in an endogenous opinion dynamics model with multiply biased agents
TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models
Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics
Semi-analytic integration for a parallel space-time boundary element method modeling the heat equation
A New Analytical Radial Distortion Model for Camera Calibration
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions
PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems
Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
SPUX: Scalable Particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models
Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression
Improving Adversarial Training using Vulnerability-Aware Perturbation Budget
Interpreting Reward Models in RLHF-Tuned Language Models Using Sparse Autoencoders
Wikinformetrics: Construction and description of an open Wikipedia knowledge graph dataset for informetric purposes
An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations
Modelling collaborative services: The COSEMO model
Mamba for Wireless Communications and Networking: Principles and Opportunities
FPGA Design for Pseudorandom Number Generator Based on Chaotic Iteration used in Information Hiding Application
UTSD: Unified Time Series Diffusion Model
Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark
Design and validation of a state-dependent Riccati equation filter for state of charge estimation in a latent thermal storage device
Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps
VoxCity: A Seamless Framework for Open Geospatial Data Integration, Grid-Based Semantic 3D City Model Generation, and Urban Environment Simulation
XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs
Verification of Locally Tight Programs
Unwinding Conditional Noninterference
Optimizing System Quality of Service through Rejuvenation for Long-Running Applications with Real-Time Constraints
Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification
Isogeometric Shape Optimization of Multi-Tapered Coaxial Baluns Simulated by an Integral Equation Method
Simulation Study For Performance Comparison in Hierarchical Network With CHG Approach in MANET
Indirect Adaptive Control Using a Static Update Law
From IOCs to Group Profiles: On the Specificity of Threat Group Behaviors in CTI Knowledge Bases
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
Understanding the Algorithm Behind Audio Key Detection
A Cutting-Edge Deep Learning Method For Enhancing IoT Security
Robotic Monitoring of Colorimetric Leaf Sensors for Precision Agriculture
Increase of Software Safety
Handwriting Recognition in Historical Documents with Multimodal LLM
A Lean Transformer Model for Dynamic Malware Analysis and Detection
psifx - Psychological and Social Interactions Feature Extraction Package
Efficient Quantification and Representation of Aggregate Flexibility in Electric Vehicles
Interact2Ar: Full-Body Human-Human Interaction Generation via Autoregressive Diffusion Models
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
End-to-End Service Delivery with QoS Guarantee in Software Defined Networks
3D Shape Generation via Functionality-Aware Model Evolution
Sampling colorings almost uniformly in sparse random graphs
Online Non-Monotone DR-submodular Maximization
Standard Bases for Linear Codes over Prime Fields
Ideal Partition of Resources for Metareasoning
Multi-feature Dataset for Windows PE Malware Classification
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware
Introducing AI-Driven IoT Energy Management Framework
Point Process Models for Distribution of Cell Phone Antennas
Modality-Invariant Representation for Infrared and Visible Image Registration
On the information-theoretic formulation of network participation
Square coloring planar graphs with automatic discharging
Survey of Security Issues in Memristor-based Machine Learning Accelerators for RF Analysis
Wayfinding through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies
Building a Neural Semantic Parser from a Domain Ontology
Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Many-Turn Jailbreaking
DeepDR: an integrated deep-learning model web server for drug repositioning
VideoClick: Video Object Segmentation with a Single Click
Fix: externalizing network I/O in serverless computing
Adaptive incomplete multi-view learning via tensor graph completion
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
Trainable Reference-Based Evaluation Metric for Identifying Quality of English-Gujarati Machine Translation System
T-Plots: A Novel Approach to Network Design
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning
Style-Preserving Lip Sync via Audio-Aware Style Reference
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
From Discrete to Continuous Convolution Layers
Deep neural networks for solving extremely large linear systems
LoraxBench: A Multitask, Multilingual Benchmark Suite for 20 Indonesian Languages
Freqformer: Image-Demoiréing Transformer via Efficient Frequency Decomposition
Defying Dimensions Mod 6
Parameterized Synthesis for Fragments of First-Order Logic over Data Words
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
Diffusion-based Task-oriented Semantic Communications with Model Inversion Attack
Effective Requirements Generation: Synchronizing Early Verification & Validation, Methods and Method Selection Criteria
Measuring an Artificial Intelligence System's Performance on a Verbal IQ Test For Young Children
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance
Using the Random Sprays Retinex Algorithm for Global Illumination Estimation
MELAGE: A purely python based Neuroimaging software (Neonatal)
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library
DecomposeMe: Simplifying ConvNets for End-to-End Learning
Basic principles and concept design of a real-time clinical decision support system for autonomous medical care on missions to Mars based on adaptive deep learning
Programming Bots by Synthesizing Natural Language Expressions into API Invocations
On the contribution of backward jumps to instruction sequence expressiveness
Crossing Number of 3-Plane Drawings
Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation
epiGPTope: A machine learning-based epitope generator and classifier
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Deep learning-based conditional inpainting for restoration of artifact-affected 4D CT images
Equilibrium Computation in Atomic Splittable Routing Games with Convex Cost Functions
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
Error Analysis of Approximated PCRLBs for Nonlinear Dynamics
Geometric Complexity Theory VII: Nonstandard quantum group for the plethysm problem
Dealing with Uncertain Inputs in Regression Trees
Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
LLM-ABM for Transportation: Assessing the Potential of LLM Agents in System Analysis
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices
D 2 GSLAM: 4D Dynamic Gaussian Splatting SLAM
Dictionary learning of sound speed profiles
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
A Unifying View on Blind Source Separation of Convolutive Mixtures based on Independent Component Analysis
Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks
Machine Learning Techniques for MRI Data Processing at Expanding Scale
Improving In-Context Learning with Reasoning Distillation
Combined Learning of Linear Parameter-Varying Models and Robust Control Invariant Sets
Rethinking Data Protection in the (Generative) Artificial Intelligence Era
Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data
Learning to Find Common Objects Across Image Collections
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges
Back to the Future: Malware Detection with Temporally Consistent Labels
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
On Verifying Causal Consistency
Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature
Advanced Data Processing in the Business Network System
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography
SubGram: Extending Skip-gram Word Representation with Substrings
Large Language Model Soft Ideologization via AI-Self-Consciousness
Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems
FUNQUE: Fusion of Unified Quality Evaluators
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
DF Louvain: Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs
GhostKnight: Breaching Data Integrity via Speculative Execution
Learning Natural Language Generation from Scratch
Measuring Fundamental Properties of Real-World Complex Networks
Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
Local Shape of Generalized Offsets to Algebraic Curves
Scheduling Refresh Queries for Keeping Results from a SPARQL Endpoint Up-to-Date (Extended Version)
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks
A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies
Linked-Cluster Technique for Finding the Distance of a Quantum LDPC Code
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models
Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems
In-N-Out: A Parameter-Level API Graph Dataset for Tool Agents
Neural B-Frame Coding: Tackling Domain Shift Issues with Lightweight Online Motion Resolution Adaptation
Error estimates of an exponential wave integrator for the nonlinear Schrödinger equation with singular potential
Maintain Plasticity in Long-timescale Continual Test-time Adaptation
Manual and Fast C Code Optimization
FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation
Why We Don't Have AGI Yet
Optimised operation of low-emission offshore oil and gas platform integrated energy systems
La transformation num{é}rique de la justice : ambitions, r{é}alit{é}s et perspectives
Experiments with Unit Disk Cover Algorithms for Covering Massive Pointsets
A Generic Synchronous Dataflow Architecture to Rapidly Prototype and Deploy Robot Controllers
Analysis of Dirichlet Energies as Over-smoothing Measures
Unsupervised Prompting for Graph Neural Networks
Quantum Computing for Partition Function Estimation of a Markov Random Field in a Radar Anomaly Detection Problem
Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering
UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction
CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video