yusuke1997/dblp-id-title huggingface dataset:
Do Localization Methods Actually Localize Memorized Data in LLMs?
Beyond Words: A Comprehensive Survey of Sentence Representations
Discrete gradient methods for port-Hamiltonian differential-algebraic equations
FROGi : Deploiement de composants Fractal sur OSGi
Hybrid Classification and Reasoning for Image-based Constraint Solving
Solving group Steiner problems as Steiner problems: the rigorous proof
Robust Least Squares for Quantized Data
Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems
UniDCF: A Foundation Model for Comprehensive Dentocraniofacial Hard Tissue Reconstruction
Shape Fragments
Towards a System Model for UML. The Structural Data Model
Constructing Sub-exponentially Large Optical Priority Queues with Switches and Fiber Delay Lines
Aligning Daily Activities with Personality: Towards A Recommender System for Improving Wellbeing
MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
Model Checking Linear Temporal Logic with Standpoint Modalities
Matroids are Equitable
Seamless Transitions: A Comprehensive Review of Live Migration Technologies
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation
A generalized stacked reinforcement learning method for sampled systems
Structural Stability and Immunogenicity of Peptides
Lagrangian Motion Fields for Long-term Motion Generation
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Explicit MDS Codes for Optimal Repair Bandwidth
Vision-and-Language Pretraining
TENG: Time-Evolving Natural Gradient for Solving PDEs with Deep Neural Net
Unit Commitment Framework for Nuclear Reactors with Reactivity Decline
Automated System-level Testing of Unmanned Aerial Systems
First On-Orbit Demonstration of a Geospatial Foundation Model
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development
FREE: Faster and Better Data-Free Meta-Learning
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods
One Step Diffusion-based Super-Resolution with Time-Aware Distillation
PETSc TSAdjoint: a discrete adjoint ODE solver for first-order and second-order sensitivity analysis
Rounding Lasserre SDPs using column selection and spectrum-based approximation schemes for graph partitioning and Quadratic IPs
IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks
MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN
Learning Unsplit-field-based PML for the FDTD Method by Deep Differentiable Forest
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
Towards Explainable Sequential Learning
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces
An algorithmic view of 𝓁 2 regularization and some path-following algorithms
Auxiliary Loss Adaptation for Image Inpainting
Incremental Rotation Averaging Revisited and More: A New Rotation Averaging Benchmark
A family of codes with locality containing optimal codes
AI Safety Should Prioritize the Future of Work
How desirable is alignment between LLMs and linguistically diverse human users?
Time-Harmonic Optical Flow with Applications in Elastography
Space Frequency Codes from Spherical Codes
Meta learning Framework for Automated Driving
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
Bandit Learning Through Biased Maximum Likelihood Estimation
Outer Bounds on the Admissible Source Region for Broadcast Channels with Dependent Sources
Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data
Co-attentional Transformers for Story-Based Video Understanding
Multitask and Multimodal Neural Tuning for Large Models
Abstract questionnaires and FS-decision digraphs
Efficient Path Algorithms for Clustered Lasso and OSCAR
The Statistical Fairness-Accuracy Frontier
On Wasserstein Reinforcement Learning and the Fokker-Planck equation
Profit allocation in agricultural supply chains: exploring the nexus of cooperation and compensation
Highway: Efficient Consensus with Flexible Finality
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements
Multi-modal Transfer Learning for Grasping Transparent and Specular Objects
Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition
Faster Transformer Decoding: N-gram Masked Self-Attention
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
AMORETTO: A Method for Deriving IoT-enriched Event Logs
IConv: Focusing on Local Variation with Channel Independent Convolution for Multivariate Time Series Forecasting
Different Cybercrimes and their Solution for Common People
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Context-specific kernel-based hidden Markov model for time series analysis
Weighted PCL over product valuation monoids
Cone-Restricted Information Theory
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
Zero-Shot Image Compression with Diffusion-Based Posterior Sampling
State equations for discrete state systems
Adaptive Cross-Modal Few-Shot Learning
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
Deep Learning for Inverse Problems: Bounds and Regularizers
Neural network algorithm and its application in temperature control of distillation tower
BadGPT-4o: stripping safety finetuning from GPT models
Quantum Kernel for Image Classification of Real World Manufacturing Defects
Virtual Environments for multiphysics code validation on Computing Grids
Speech Map: A Statistical Multimodal Atlas of 4D Tongue Motion During Speech from Tagged and Cine MR Images
Equivalence Checking in Embedded Systems Design Verification using PRES+ model
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning
Smart Motion Detection System using Raspberry Pi
Evaluating the Robustness of LiDAR-based 3D Obstacles Detection and Its Impacts on Autonomous Driving Systems
Confounding-Robust Policy Improvement with Human-AI Teams
Completeness and Consistency Analysis for Evolving Knowledge Bases
Semi-supervised Tuning from Temporal Coherence
New Failure Rate Model for Iterative Software Development Life Cycle Process
Differentiated nonblocking: a new progress condition and a matching queue algorithm
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling
The modelling error in multi-dimensional time-dependent solute transport models
Hierarchical 3D fully convolutional networks for multi-organ segmentation
GCN-Driven Reinforcement Learning for Probabilistic Real-Time Guarantees in Industrial URLLC
Towards Characterizing COVID-19 Awareness on Twitter
In-Video Instructions: Visual Signals as Generative Control
AI-based Dynamic Schedule Calculation in Time Sensitive Networks using GCN-TD3
The Monitor Model and its Misconceptions: A Clarification
Indoor Navigation Using Information From A Map And A Rangefinder
On the convergence of noisy Bayesian Optimization with Expected Improvement
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
Efficient quantum linear solver algorithm with detailed running costs
Fractional coverings, greedy coverings, and rectifier networks
Theoretical And Technological Building Blocks For An Innovation Accelerator
Cluster Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification
Indexing Cost Sensitive Prediction
A conservative low rank tensor method for the Vlasov dynamics
Unlocking the Wisdom of Large Language Models: An Introduction to The Path to Artificial General Intelligence
You Only Look Around: Learning Illumination Invariant Feature for Low-light Object Detection
Generalist Reward Models: Found Inside Large Language Models
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification
CrowdCam: Dynamic Region Segmentation
CyMed: A Framework for Testing Cybersecurity of Connected Medical Devices
Free Heyting Algebra Endomorphisms: Ruitenburg's Theorem and Beyond
IT based social media impacts on Indonesian general legislative elections 2014
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images
H2O-Danube3 Technical Report
A neural network to classify metaphorical violence on cable news
Three Branches: Detecting Actions With Richer Features
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing
Strong Stability of Sampled-data Riesz-spectral Systems
Case study to approaches to finding patterns in citation networks
Itemset Isomorphism: GI-Complete
How to evaluate control measures for LLM agents? A trajectory from today to superintelligence
Efficient Denoising Method to Improve The Resolution of Satellite Images
MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
Rational consumer decisions in a peak time rebate program
CADD: A Chinese Traffic Accident Dataset for Statute-Based Liability Attribution
lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
Where's My Drink? Enabling Peripheral Real World Interactions While Using HMDs
Vehicle-to-grid plug-in forecasting for participation in ancillary services markets
Neuroscientific User Models: The Source of Uncertain User Feedback and Potentials for Improving Recommendation and Personalisation
Adding Workflow Management Flexibility to LSST Pipelines Execution
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Speech Denoising in the Waveform Domain with Self-Attention
MeshA*: Efficient Path Planing With Motion Primitives
Designing Exchange for Online Communities
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation
FASTA: A Generalized Implementation of Forward-Backward Splitting
The Numerical Unified Transform Method for Initial-boundary Value Problems on the Half-line
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
The trace monoids in the queue monoid and in the direct product of two free monoids
Faster Tensor Train Decomposition for Sparse Data
Decorated Corelations
Convolutional Neural Network Simplification with Progressive Retraining
Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration
Rumor spreading in gaming social networks
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation
Analysis of Speedups in Parallel Evolutionary Algorithms for Combinatorial Optimization
Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction
RAR-PINN algorithm for the data-driven vector-soliton solutions and parameter discovery of coupled nonlinear equations
Generating Reservoir State Descriptions with Random Matrices
Virtual Reality in Social Media: A New Era of Immersive Social Interactions
Welfare, sustainability, and equity evaluation of the New York City Interborough Express using spatially heterogeneous mode choice models
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language
Universal Hirschberg for Width Bounded Dynamic Programs
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
Enabling Immersive XR Collaborations over FTTR Networks (Invited)
Spectrum Allocation in Two-Tier Networks
Structure of Extreme Correlated Equilibria
Symmetry Breaking Predicates for SAT-based DFA Identification
Single Memristor Logic Gates: From NOT to a Full Adder
The Weak Call-By-Value λ-Calculus is Reasonable for Both Time and Space
Nimber-Preserving Reductions and Homomorphic Sprague-Grundy Game Encodings
The Ensemble Method for Thorax Diseases Classification
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
On the Inclusion of Charge and Spin States in Cartesian Tensor Neural Network Potentials
Computers from plants we never made. Speculations
Parameterized Synthetic Text Generation with SimpleStories
Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass
Inverse analysis of traction-separation relationship based on sequentially linear approach
A Bayesian Perspective On Training Data Attribution
Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games
Random Projections for the Nonnegative Least-Squares Problem
IoT to monitor people flow in areas of public interest
Foreground Detection in Camouflaged Scenes
A Delay Optimal MAC and Packet Scheduler for Heterogeneous M2M Uplink
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly
Polarization dynamics: a study of individuals shifting between political communities on social media
Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
ECLiPSe - from LP to CLP
Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
The loss landscape of deep linear neural networks: a second-order analysis
LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
Semantic Convergence: Investigating Shared Representations Across Scaled LLMs
Audio Prototypical Network For Controllable Music Recommendation
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Exploiting Active RIS in NOMA Networks with Hardware Impairments
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods
Sex-Classification from Cell-Phones Periocular Iris Images
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization
Good, Better, Best: Choosing Word Embedding Context
Gradual Machine Learning for Aspect-level Sentiment Analysis
Challenges and Opportunities in CPS Security: A Physics-based Perspective
The Hydra Effect: Emergent Self-repair in Language Model Computations
Fine-grained Preference Optimization Improves Zero-shot Text-to-Speech
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments
Some remarks on filtered polynomial interpolation at Chebyshev nodes
Topological Feature Based Classification
Real-time self-adaptive deep stereo
Prompt injections as a tool for preserving identity in GAI image descriptions
Information Theoretic-Learning Auto-Encoder
A discriminative approach for finding and characterizing positivity violations using decision trees
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
TTAN: Two-Stage Temporal Alignment Network for Few-shot Action Recognition
PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning
TrioXpert: An automated incident management framework for microservice system
Solving reviewer assignment problem in software peer review: An approach based on preference matrix and asymmetric TSP model
Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data
Linear Codes with Prescribed Hull Dimension and Minimum Distance
Proposal of Real Time Predictive Maintenance Platform with 3D Printer for Business Vehicles
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection
Spectral Predictability as a Fast Reliability Indicator for Time Series Forecasting Model Selection
HYPO: Hyperspherical Out-of-Distribution Generalization
Using the Crowd to Generate Content for Scenario-Based Serious-Games
An Inter-Component Pixels Permutation Based Color Image Encryption Using Hyper-chaos
Reservoir Characterization: A Machine Learning Approach
Graph Model Implementation of Attribute-Based Access Control Policies
A Secure and Comparable Text Encryption Algorithm
Grammar Induction from Visual, Speech and Text
Lost Data in Electron Microscopy
Problems and solutions of the Fourth International Students' Olympiad in Cryptography NSUCRYPTO
Bitcoin Cooperative Proof-of-Stake
Interpretability in Safety-Critical FinancialTrading Systems
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification
Conformal prediction for frequency-severity modeling
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding
Dynamic neural network with memristive CIM and CAM for 2D and 3D vision
Usability Evaluation of Dwell-free Eye Typing Techniques
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
An automaton approach for waiting times in DNA evolution
Performance Improvement of PAPR Reduction for OFDM Signal In LTE System
Fused Gromov-Wasserstein Contrastive Learning for Effective Enzyme-Reaction Screening
Reconstructing complex networks with binary-state dynamics
Comparing Type Systems for Deadlock-Freedom
6-DoF Stability Field via Diffusion Models
Sensing Method for Two-Target Detection in Time-Constrained Vector Poisson Channel
Using Linear Difference Equations to Model Nonlinear Cryptographic Sequences
Using Information Theory to Study the Efficiency and Capacity of Computers and Similar Devices
Causal Inference as Distribution Adaptation: Optimizing ATE Risk under Propensity Uncertainty
Fast Rule-Based Graph Programs
SPAIDS and OAMS Models in Wireless Ad Hoc Networks
MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos
Session-Based Programming for Parallel Algorithms: Expressiveness and Performance
Can GAN originate new electronic dance music genres? - Generating novel rhythm patterns using GAN with Genre Ambiguity Loss
Automated Environmental Compliance Monitoring with IoT and Open Government Data
How to Integrate Digital Twin and Virtual Reality in Robotics Systems? Design and Implementation for Providing Robotics Maintenance Services in Data Centers
GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
Joint Tx-Rx Beamforming and Power Allocation for 5G Millimeter-Wave Non-Orthogonal Multiple Access (MmWave-NOMA) Networks
Sand transverse dune aerodynamics: 3D Coherent Flow Structures from a computational study
Interpreting CNN knowledge via an Explanatory Graph
Modeling Ice Friction for Vehicle Dynamics of a Bobsled with Application in Driver Evaluation and Driving Simulation
Modularity Matters: Learning Invariant Relational Reasoning Tasks
Multi-Kernel Construction of Polar Codes
Spatial features of synaptic adaptation affecting learning performance
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
The Web Can Be Your Oyster for Improving Large Language Models
Learning to Detect Interesting Anomalies
A Feature-Value Network as a Brain Model
IFCNet: A Benchmark Dataset for IFC Entity Classification
Automated Seed Quality Testing System using GAN & Active Learning
Mass conservation, positivity and energy identical-relation preserving scheme for the Navier-Stokes equations with variable density
A Fast and Simple Algorithm for computing the MLE of Amplitude Density Function Parameters
A Data-driven Market Simulator for Small Data Environments
The Quasiequational theory of relational lattices, in the pure latice theory
Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matching
Automatic Identification of Traditional Colombian Music Genres based on Audio Content Analysis and Machine Learning Technique
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
Technical Companion to Example-Based Procedural Modeling Using Graph Grammars
Finite-Time Model-Learning Based L1-Simplex For Integrated TCS and ABS
Sequential Asset Ranking within Nonstationary Time Series
Encoder-Only Image Registration
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
Analyzing the temporal dynamics of linguistic features contained in misinformation
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers
LVC: A Lightweight Compression Framework for Enhancing VLMs in Long Video Understanding
Visual attention analysis of pathologists examining whole slide images of Prostate cancer
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation
Efficient Trajectory Generation in 3D Environments with Multi-Level Map Construction
Manifold-aware Representation Learning for Degradation-agnostic Image Restoration
Learning across scales - A multiscale method for Convolution Neural Networks
Solving Quantum-Inspired Perfect Matching Problems via Tutte's Theorem-Based Hybrid Boolean Constraints
Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity
Investigating Efficacy of Perplexity in Detecting LLM-Generated Code
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors
Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
Approximations of Lovasz extensions and their induced interaction index
Collecting Examples for Instance-Spanning Constraints
Scalable global state synchronization of discrete-time double integrator multi-agent systems with input saturation via linear protocol (Completed Version)
Using Artificial Intelligence to Analyze Fashion Trends
Learning to Generate Code Comments from Class Hierarchies
Data-Pooling in Stochastic Optimization
Displacement-Driven Approach to Nonlocal Elasticity
Machine Generalize Learning in Agent-Based Models: Going Beyond Surrogate Models for Calibration in ABMs
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
Automatic Streaming Segmentation of Stereo Video Using Bilateral Space
Distributive Laws for Monotone Specifications
A novel seamless magnetic-based actuating mechanism for end-effector-based robotic rehabilitation platforms
A Perspective Study on Content Management in E-Learning and M-Learning
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
Partial Inverse Design of High-Performance Concrete Using Cooperative Neural Networks for Constraint-Aware Mix Generation