yusuke1997/dblp-id-title huggingface dataset:
FaDIV-Syn: Fast Depth-Independent View Synthesis
On the Insecurities of Mobile D2D File Sharing Applications
Relation between Functional Complexity, Scalability and Energy Efficiency in WSNs
A Machine Learning-based Approach to Build Zero False-Positive IPSs for Industrial IoT and CPS with a Case Study on Power Grids Security
When Virtual Therapy and Art Meet: A Case Study of Creative Drawing Game in Virtual Environments
AI and Human Oversight: A Risk-Based Framework for Alignment
Subspace clustering based on low rank representation and weighted nuclear norm minimization
Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode
EvaluateXAI: A Framework to Evaluate the Reliability and Consistency of Rule-based XAI Techniques for Software Analytics Tasks
Sensing aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems
Nominal Tree Automata With Name Allocation
Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation
Grid-Free Computation of Probabilistic Safety with Malliavin Calculus
From complex to simple : hierarchical free-energy landscape renormalized in deep neural networks
Global and Local Error-Tolerant Decentralized State Estimation under Partially Ordered Observations
Writing summary for the state-of-the-art methods for big data clustering in distributed environment
Benchmarking Adversarial Patch Selection and Location
An upper bound on the size of Sidon sets
Challenges for machine learning in clinical translation of big data imaging studies
Self-supervised Extraction of Human Motion Structures via Frame-wise Discrete Features
Pricing Algorithmic Insurance
SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications
Diabetic Retinopathy Detection Using Quantum Transfer Learning
Multimodal Conditioned Diffusive Time Series Forecasting
Quantum speedups for treewidth
Bayesian rules and stochastic models for high accuracy prediction of solar radiation
MIRNet: Learning multiple identities representations in overlapped speech
TrustRAG: Enhancing Robustness and Trustworthiness in RAG
Salty Seagull: A VSAT Honeynet to Follow the Bread Crumb of Attacks in Ship Networks
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
ABBEL: LLM Agents Acting through Belief Bottlenecks Expressed in Language
Accelerating Science: A Computing Research Agenda
Geodesic farthest-point Voronoi diagram in linear time
Environment Agnostic Goal-Conditioning, A Study of Reward-Free Autonomous Learning
A Novel Approach to Quality of Service Provisioning in Trusted Relay Quantum Key Distribution Networks
Using Motion and Internal Supervision in Object Recognition
Improving VQA and its Explanations by Comparing Competing Explanations
QDFlow: A Python package for physics simulations of quantum dot devices
Analysis about Theoretical Foundations for Method to Enhancing ASR Performance using OCR Word Frequency Differences
Mechanism Design with Bandit Feedback
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations
Numerical extraction of a macroscopic pde and a lifting operator from a lattice Boltzmann model
Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions
Privacy-Preserving Smart Contracts for Permissioned Blockchains: A zk-SNARK-Based Recipe Part-1
Gravity Estimation at Small Bodies via Optical Tracking of Hopping Artificial Probes
Distributed Feature Selection for High-dimensional Additive Models
Gradient-Free Classifier Guidance for Diffusion Model Sampling
Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data
Optimal training of variational quantum algorithms without barren plateaus
Monotone two-scale methods for a class of integrodifferential operators and applications
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Control of Charging of Electric Vehicles through Menu-Based Pricing
Speaker-aware speech-transformer
Mining Frequent Itemsets: a Formal Unification
CaBuAr: California Burned Areas dataset for delineation
Learning the Solution Manifold in Optimization and Its Application in Motion Planning
Phonological Representation Learning for Isolated Signs Improves Out-of-Vocabulary Generalization
Stability and conservation properties of Hermite-based approximations of the Vlasov-Poisson system
Boosting Rust Unit Test Coverage through Hybrid Program Analysis and Large Language Models
DITTO: Offline Imitation Learning with World Models
Resolution of Unidentified Words in Machine Translation
StepWiser: Stepwise Generative Judges for Wiser Reasoning
Ontology-oriented e-gov services retrieval
Rephrasing visual questions by specifying the entropy of the answer distribution
TBSSvis: Visual Analytics for Temporal Blind Source Separation
Non-flat Road Detection Based on A Local Descriptor
DragGANSpace: Latent Space Exploration and Control for GANs
Comparison of two statistical image reconstruction algorithms for quantitative assessment of pathological lesions using gamma emission tomography
Speculative Evolution Through 3D Cellular Automata
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts
Visual CoT Makes VLMs Smarter but More Fragile
Hardness and Approximation Schemes for Discrete Packing and Domination
A mathematical model of the Mafia game
Efficient implementations of echo state network cross-validation
An approach for a business-driven cloudcompliance analysis covering public sector process improvement requirements
Improving Learning Experience in MOOCs with Educational Content Linking
Reinforcement-Learning-Based Resource Allocation in Fog Radio Access Networks for Various IoT Environments
Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data
Optimal Constructions for Chain-based Cryptographic Enforcement of Information Flow Policies
Origami Inspired Reconfigurable Antenna for Wireless Communication Systems
Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid DoA Estimation
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning
A family of neighborhood contingency logics
Botnet fingerprinting method based on anomaly detection in SMTP conversations
Optimal Causal Inference
End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents
Secure Transmission in Cell-Free Massive MIMO under Active Eavesdropping
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
Bridging Auditory Perception and Language Comprehension through MEG-Driven Encoding Models
HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in L p
Truthful Mechanisms for Agents that Value Privacy
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios
Detecting Standard Violation Errors in Smart Contracts
IT services design to support coordination practices in the Luxembourguish AEC sector
Optimal control of the convergence time in the Hegselmann-Krause dynamics
Polar Codes: Analysis and Construction Based on Polar Spectrum
Adversarial Examples in Remote Sensing
From Heatmaps to Structural Explanations of Image Classifiers
Focusing Phenomena in Linear Discrete Inverse Problems in Acoustics
Taming Polysemanticity in LLMs: Provable Feature Recovery via Sparse Autoencoders
Efficient Differentiable Neural Architecture Search with Meta Kernels
Cooking State Recognition From Images Using Inception Architecture
Distributed stochastic optimization for deep learning (thesis)
Development of a Real-Time Software-Defined Radio GPS Receiver Exploiting a LabVIEW-based Instrumentation Environment
Convergence rate of the spectral difference method on regular triangular meshes
Receiver-Oriented Cheap Talk Design
A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables
Large independent sets on random d-regular graphs with d small
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization
An Empirical Study of Spam and Prevention Mechanisms in Online Video Chat Services
Dynamic Knowledge Distillation with A Single Stream Structure for RGB-D Salient Object Detection
On the feasibility of semantic query metrics
Immersive Video Compression using Implicit Neural Representations
Fully Automated Volumetric Classification in CT Scans for Diagnosis and Analysis of Normal Pressure Hydrocephalus
OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters
Privacy Concerns Raised by Pervasive User Data Collection From Cyberspace and Their Countermeasures
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI
Contextual and Possibilistic Reasoning for Coalition Formation
New Singly and Doubly Even Binary [72, 36, 12] Self-Dual Codes from M 2 (R)G - Group Matrix Rings
Generalized Minkowski sets for the regularization of inverse problems
L2 Orthogonal Space Time Code for Continuous Phase Modulation
End to End Secure Data Exchange in Value Chains with Dynamic Policy Updates
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics
Asymmetric Friction in Geometric Locomotion
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation
Conditioning Predictive Models: Risks and Strategies
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery
Hierarchical Information Flow for Generalized Efficient Image Restoration
Secure Degrees of Freedom Region of the Two-User MISO Broadcast Channel with Alternating CSIT
SoRC - Evaluation of Computational Molecular Co-Localization Analysis in Mass Spectrometry Images
On the Efficacy of 3D Point Cloud Reinforcement Learning
Efficient Network Sharing with Asymmetric Constraint Information
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
Autoencoding Dynamics: Topological Limitations and Capabilities
Instruct-Align: Teaching Novel Languages with to LLMs through Alignment-based Cross-Lingual Instruction
Universal approximation of flows of control systems by recurrent neural networks
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
Credibility Discounting in the Theory of Approximate Reasoning
Zero redundancy distributed learning with differential privacy
A deep learning approach for understanding natural language commands for mobile service robots
Structured Sentiment Analysis as Transition-based Dependency Parsing
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation
Measurement of software development effort estimation bias: Avoiding biased measures of estimation bias
Introducing LETOR 4.0 Datasets
MicroCast: Cooperative Video Streaming using Cellular and D2D Connections
ComLQ: Benchmarking Complex Logical Queries in Information Retrieval
A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks
The Parameters of Minimal Linear Codes
From Balanced Initial Occupant Distribution to Balanced Exit Usage in a Simulation Model of Pedestrian Dynamics
Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping
A Practical Approach to Interval Refinement for math.h/cmath Functions
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
QATM: Quality-Aware Template Matching For Deep Learning
Using Inter-Sentence Diverse Beam Search to Reduce Redundancy in Visual Storytelling
Let's shake on it: Extracting secure shared keys from Wi-Fi CSI
Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning
Raw Bayer Pattern Image Synthesis with Conditional GAN
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization
The Second Generation of the Convexification Method for a Coefficient Inverse Problem of the Epidemiology
DataStorm-EM: Exploration of Alternative Timelines within Continuous-Coupled Simulation Ensembles
From Simple Sensors to Complex Context: Insights for HabiTech
Sampling 3D Molecular Conformers with Diffusion Transformers
Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts
From Knowledge Generation to Knowledge Verification: Examining the BioMedical Generative Capabilities of ChatGPT
Time-based Sequence Model for Personalization and Recommendation Systems
Interference-based Optimal Power-efficient Access Scheme for Cognitive Radio Networks
Toward Psycho-robots
Effective coupling conditions for arbitrary flows in Stokes-Darcy systems
Zero-Shot Image-Based Large Language Model Approach to Road Pavement Monitoring
What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
Object Detection Free Instance Segmentation With Labeling Transformations
Catching UX Flaws in Code: Leveraging LLMs to Identify Usability Flaws at the Development Stage
ASMA-Tune: Unlocking LLMs' Assembly Code Comprehension via Structural-Semantic Instruction Tuning
Toward the Hanani-Tutte Theorem for Clustered Graphs
Fast post-hoc method for updating moments of large datasets
Learning Multivariate CDFs and Copulas using Tensor Factorization
Methods based on Radon transform for non-affine deformable image registration of noisy images
Some results on maximum likelihood estimation under the EM algorithm: Asymptotic properties and consistent sandwich estimator of covariance matrix
OTLP: Output Thresholding Using Mixed Integer Linear Programming
Distributed Discovery Clients for Spectrum Allocation
Alternating Good-for-MDP Automata
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-artNLP Deep Learning Architectures on Commonsense Reasoning Task
HiLight: A Hierarchy-aware Light Global Model with Hierarchical Local ConTrastive Learning
Doppler Resilient Complementary Sequences: Tighter Aperiodic Ambiguity Function Bound and Optimal Constructions
Revisiting Theory of Contrastive Learning for Domain Generalization
Principles of the Concept-Oriented Data Model
N-gram Boosting: Improving Contextual Biasing with Normalized N-gram Targets
NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training
MDP-based Shallow Parsing in Distantly Supervised QA Systems
End-to-End Capacities of Imperfect-Repeater Quantum Networks
Integral Transform Solution of Random Coupled Parabolic Partial Differential Models
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution
Bayesian Optimization for Hyperparameters Tuning in Neural Networks
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence
Yelp Dataset Challenge: Review Rating Prediction
How Well Do Sparse Imagenet Models Transfer?
RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
A Deep Learning Model for Predicting Transformation Legality
Offline and Online KL-Regularized RLHF under Differential Privacy
The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research
Conditional β-VAE for De Novo Molecular Generation
Training Image Estimators without Image Ground-Truth
State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation
Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI
A second-order iterative time integration scheme for linear poroelasticity
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Dynamic Bandwidth-Efficient BCube Topologies for Virtualized Data Center Networks
Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges
Property-Guided Cyber-Physical Reduction and Surrogation for Safety Analysis in Robotic Vehicles
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Guidelines Towards Information-driven MobilityManagement
Concept Formation and Dynamics of Repeated Inference in Deep Generative Models
Modeling, Simulation, and Maneuvering Control of a Generic Submarine
Private Broadcasting: an Index Coding Approach
Melody Classification based on Performance Event Vector and BRNN
Quantification and object perception in Multimodal Large Language Models deviate from human linguistic cognition
LLäMmlein: Compact and Competitive German-Only Language Models from Scratch
HACD: Hand-Aware Conditional Diffusion for Monocular Hand-Held Object Reconstruction
GPU accelerated program synthesis: Enumerate semantics, not syntax!
Frequency-Dynamic Attention Modulation for Dense Prediction
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Neural Incremental Input-to-State Stable Control Lyapunov Functions for Unknown Continuous-time Systems
Approximation of fractional harmonic maps
LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset
Quality of Non-Convergent Best Response Processes in Multi-Agent Systems through Sink Equilibrium
Bridging the Regulatory Divide: Ensuring Safety and Equity in Wearable Health Technologies
Language Model Agents Suffer from Compositional Generalization in Web Automation
Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music
Phase retrieval of analytic signals from short-time Fourier transform measurements
Free Applicative Functors
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
Weakly regular Sturm-Liouville problems: a corrected spectral matrix method
repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Complex Aperture Networks
Faster sparse polynomial interpolation of straight-line programs over finite fields
Edge sampling using network local information
Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution
Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources
Stability and performance of stochastic predictive control
Memory-efficient Learning for High-Dimensional MRI Reconstruction
VocSegMRI: Multimodal Learning for Precise Vocal Tract Segmentation in Real-time MRI
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing
Trainability for Universal GNNs Through Surgical Randomness
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
Review and Analysis of Local Multipoint Distribution System (LMDS) to Deliver Voice, Data, Internet, and Video Services
A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation
StereoFoley: Object-Aware Stereo Audio Generation from Video
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
Multimodal Exponentially Modified Gaussian Oscillators
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation
Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks
Unbiased Face Synthesis With Diffusion Models: Are We There Yet?
Solving practical multi-body dynamics problems using a single neural operator
A Decade Survey of Content Based Image Retrieval using Deep Learning
R 2 NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving
CASPER: A Large Scale Spontaneous Speech Dataset
On Predictability of Reinforcement Learning Dynamics for Large Language Models
DALG: Deep Attentive Local and Global Modeling for Image Retrieval
On the dynamics of the boundary vorticity for incompressible viscous flows
Tone-index Multisine Modulation for SWIPT
Finite-blocklength Fluid Antenna Systems With Spatial Block-Correlation Channel Model
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
A Structured Approach to Trustworthy Autonomous/Cognitive Systems
Difference of Probability and Information Entropy for Skills Classification and Prediction in Student Learning
A Reconfigurable Winograd CNN Accelerator with Nesting Decomposition Algorithm for Computing Convolution with Large Filters
On the Connectedness of Clash-free Timetables
Deep Exponential-Family Auto-Encoders
Toward Adaptive Tracking and Communication via an Airborne Maneuverable Bi-Static ISAC System
Computing the Bogoliubov-de Gennes excitations of two-component Bose-Einstein condensates
Interference Alignment with Asymmetric Complex Signaling - Settling the Host-Madsen-Nosratinia Conjecture
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
Disentangling Factors of Variation Using Few Labels
Scalable Hyperbolic Recommender Systems
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images
Emotion-based Recommender System
Semantic Instance Segmentation via Deep Metric Learning
MatSSL: Robust Self-Supervised Representation Learning for Metallographic Image Segmentation
Finding the minimum distance and decoding linear codes with Gaussian Elimination Method
Trajectory Planning for Autonomous Vehicle Using Iterative Reward Prediction in Reinforcement Learning
Probabilistic interconnection between interdependent networks promotes cooperation in the public goods game
Best Practices and Lessons Learned on Synthetic Data for Language Models
Harnessing the edge of chaos for combinatorial optimization
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting
Exponential separations between classical and quantum learners
FleSpeech: Flexibly Controllable Speech Generation with Various Prompts
Research Challenges for Enterprise Cloud Computing
Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients
A novel Taguchi-based approach for optimizing neural network architectures: application to elastic short fiber composites
Greener yet Powerful: Taming Large Code Generation Models with Quantization
Prediction-based evaluation of back-four defense with spatial control in soccer