yusuke1997/dblp-id-title huggingface dataset:
Validation of the Scientific Literature via Chemputation Augmented by Large Language Models
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
A Novel Maneuvering Target Tracking Approach by Stochastic Volatility GARCH Model
Score-Based Multibeam Point Cloud Denoising
Zero vs. epsilon Error in Interference Channels
Coalitional control: a bottom-up approach
Efficient Multi-Domain Network Learning by Covariance Normalization
Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP
On Practical SMT-Based Type Error Localization
Telepresence Interaction by Touching Live Video Images
DeepHazard: neural network for time-varying risks
Error Exponents for Variable-length Block Codes with Feedback and Cost Constraints
MDS and AMDS symbol-pair codes constructed from repeated-root codes
A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares
Optimizing Distributed Tensor Contractions using Node-Aware Processor Grids
Optimal Distributed Power Allocation for Decode-and-Forward Relay Networks
Low-Cost Test-Time Adaptation for Robust Video Editing
Matching Games with Additive Externalities
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
NHtapDB: Native HTAP Databases
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
A Multi-input Multi-output Transformer-based Hybrid Neural Network for Multi-class Privacy Disclosure Detection
SyncAnyone: Implicit Disentanglement via Progressive Self-Correction for Lip-Syncing in the wild
Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case
Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis
DCMAC: Demand-aware Customized Multi-Agent Communication via Upper Bound Training
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
Leveraging cloud based big data analytics in knowledge management for enhanced decision making in organizations
Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
Using Color Refinement to Boost Enumeration and Counting for Acyclic CQs of Binary Schemas
Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Scaling Image Geo-Localization to Continent Level
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals
Rate-Distortion Analysis of Quantizers with Error Feedback
Practical circuits with Physarum Wires
The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study
Square-Cut Pizza Sharing is PPA-complete
Isogeometric collocation for solving the biharmonic equation over planar multi-patch domains
Poly-Exp Bounds in Tandem Queues
A least distance estimator for a multivariate regression model using deep neural networks
A network science approach to identify disruptive elements of an airline
When do homomorphism counts help in query algorithms?
A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles
Optimal Threshold Control by the Robots of Web Search Engines with Obsolescence of Documents
Identification and modeling of discoverers in online social systems
FairLens: Auditing Black-box Clinical Decision Support Systems
Does Code Quality Affect Pull Request Acceptance? An empirical study
A biology-inspired approach to the positive integral control of positive systems - the antithetic, exponential, and logistic integral controllers
Transformer with Fourier Integral Attentions
Location Privacy in Conservation
A Machine Learning Perspective on Automated Driving Corner Cases
Continuum Percolation in the Intrinsically Secure Communications Graph
A Convolutional Neural Network into graph space
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction
Stability in Single-Peaked Strategic Resource Selection Games
Openness And Partial Adjacency In One Variable TPTL
Identifying and characterizing ZMap scans: a cryptanalytic approach
Some issues in robust clustering
Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images
A Concept-Centric Approach to Multi-Modality Learning
Rate-Optimal Contextual Online Matching Bandit
ThermoONet - a deep learning-based small body thermophysical network: applications to modelling water activity of comets
Distributed Source Coding for Correlated Memoryless Gaussian Sources
The Frequentist Information Criterion (FIC): The unification of information-based and frequentist inference
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies
SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection
Approximating the Bethe partition function
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
Evaluation for Regression Analyses on Evolving Data Streams
Inertial Inchworm Crawling
Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion
The Boy Who Survived: Removing Harry Potter from an LLM is harder than reported
30 Years of Synthetic Data
Integrated Sensing and Earthmoving Vehicle for Lunar Landing Pad Construction
Deep Line Art Video Colorization with a Few References
dcs: An Implementation of DATALOG with Constraints
Factored Conditional Filtering: Tracking States and Estimating Parameters in High-Dimensional Spaces
On the classification of $\mathbb{Z}_4$-codes
New Lower Bound and Algorithms for Online Geometric Hitting Set Problem
Normative active inference: A numerical proof of principle for a computational and economic legal analytic approach to AI governance
MFCC based Enlargement of the Training Set for Emotion Recognition in Speech
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights
Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles
On the Expressive Power of Behavior Structure
A Chebyshev-Tau spectral method for normal modes of underwater sound propagation with a layered marine environment
Differentiable Sparse Identification of Lagrangian Dynamics
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Construction of Error-Correcting Codes for Random Network Coding
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics
Formal Verification of Chase-Lev Deque in Concurrent Separation Logic
MLE-induced Likelihood for Markov Random Fields
Reinforced optimal control
Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
Conditional variational autoencoder to improve neural audio synthesis for polyphonic music sound
Institutionalization of Software Product Line: An Empirical Investigation of Key Organizational Factors
Recurrent Neural Networks based Obesity Status Prediction Using Activity Data
Model Extraction and Defenses on Generative Adversarial Networks
A C0 interior penalty finite element method for flexoelectricity
DEER: A Data Efficient Language Model for Event Temporal Reasoning
TSInsight: A local-global attribution framework for interpretability in time-series data
"What's important here?": Opportunities and Challenges of Using LLMs in Retrieving Information from Web Interfaces
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
Integrated Modular Solution for Task Oriented Manipulator Configuration Design
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks
Distributed Nash Equilibrium Seeking By Gossip in Games on Graphs
TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling
Integrating Deliberation and Voting in Participatory Drafting of Legislation
Deep Learning for Signal Authentication and Security in Massive Internet of Things Systems
MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices
Price of Anarchy of Multi-Stage Machine Scheduling Games
PAVITS: Exploring Prosody-aware VITS for End-to-End Emotional Voice Conversion
Approximate Consensus Multi-Agent Control Under Stochastic Environment with Application to Load Balancing
My Body My Choice: Human-Centric Full-Body Anonymization
On Using Blockchains for Safety-Critical Systems
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique
Density-based Stochastic Reachability Computation for Occupancy Prediction in Automated Driving
Line Marching Algorithm For Planar Kinematic Swarm Robots: A Dynamic Leader-Follower Approach
A Machine Learning Generative Method for Automating Antenna Design and Optimization
From mean-field to complex topologies: network effects on the algorithmic bias model
Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
Performance Analysis of Uplink Optical Wireless Communication System in Presence of STAR-RIS
Semi-Supervised Object Detection in the Open World
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
Learning What's going on: reconstructing preferences and priorities from opaque transactions
GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving
Utilizing Large LanguageModels to Detect Privacy Leaks in Mini-App Code
A separability-based approach to quantifying generalization: which layer is best?
Sparse Bayesian Learning for EEG Source Localization
Multi-Aircraft Scheduling Optimization in Urban Environments
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks
Reading Between the Lines: Combining Pause Dynamics and Semantic Coherence for Automated Assessment of Thought Disorder
Patch-wise++ Perturbation for Adversarial Targeted Attacks
QuCheck: A Property-based Testing Framework for Quantum Programs in Qiskit
SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes
A New Reduction Method from Multivariate Polynomials to Univariate Polynomials
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
Creating Lexical Resources for Endangered Languages
Deep neural network approximation of analytic functions
What Are Tools Anyway? A Survey from the Language Model Perspective
Audience Impressions of Narrative Structures and Personal Language Style in Science Communication on Social Media
A Hybrid Anytime Algorithm for the Constructiion of Causal Models From Sparse Data
Largest dyadic dual VC-dimension of non-piercing families
Performance Evaluation in High-Speed Networks by the Example of Intrusion Detection
On the Capacity of Joint Fading and Two-path Shadowing Channels
20 years of network community detection
Analytical Gradient and Hessian Evaluation for System Identification using State-Parameter Transition Tensors
On the Parallel Composition for True Concurrency
Composite Channel Estimation in Massive MIMO Systems
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia
SoK: Towards a Common Understanding of Cryptographic Agility
Migratable AI : Investigating users' affect on identity and information migration of a conversational AI agent
A Deep Learning Analysis of Climate Change, Innovation, and Uncertainty
Discovering Transferable Forensic Features for CNN-generated Images Detection
Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring
A Survey on Green Deep Learning
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
Applications of Data Mining Techniques for Vehicular Ad hoc Networks
Opportunistic Collaborative Beamforming with One-Bit Feedback
A time-splitting Fourier pseudospectral method for the Wigner(-Poisson)-Fokker-Planck equations
An optimized recursive learning algorithm for three-layer feedforward neural networks for mimo nonlinear system identifications
Asymptotic Improvements to Quantum Circuits via Qutrits
Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery
GENDIS: GENetic DIscovery of Shapelets
Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise
Differentiable Soft-Masked Attention
Sufficient Lyapunov conditions for exponential mean square stability of discrete-time systems with markovian delays (extended version)
A Primal Dual Algorithm for a Heterogeneous Traveling Salesman Problem
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry
Flows in Temporal networks
Relational Symmetry based Knowledge Graph Contrastive Learning
Self-driving Multimodal Studies at User Facilities
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Using remotely sensed data for air pollution assessment
Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models
Joint auto-encoders: a flexible multi-task learning framework
Robust Vision Challenge 2020 - 1st Place Report for Panoptic Segmentation
Non binary LDPC codes over the binary erasure channel: density evolution analysis
Blockchain and its Potential in Education
Robust Adaptive Discrete-Time Control Barrier Certificate
Superpixel clustering with deep features for unsupervised road segmentation
Chain-of-Image Generation: Toward Monitorable and Controllable Image Generation
Order but Not Execute in Order
Bayesian Decision Making around Experts
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models
Stochastic Games on a Multiple Access Channel
Wireless Sensor Networking for Rain-fed Farming Decision Support
Finding positively invariant sets and proving exponential stability of limit cycles using Sum-of-Squares decompositions
View-based Propagator Derivation
The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)
Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates
Some notes on the abstraction operation for Multi-Terminal Binary Decision Diagrams
Cloud Deployment of Large-Scale Electromagnetic Transient Simulation - Discovery and Experiences
Optimization of institutional incentives for cooperation in structured populations
Finding Academic Experts on a MultiSensor Approach using Shannon's Entropy
Learning the Network of Graphs for Graph Neural Networks
Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition
Graph Exploration with Edge Weight Estimates
Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference
Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution
A Self-explainable Model of Long Time Series by Extracting Informative Structured Causal Patterns
BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
Curved Space Optimization: A Random Search based on General Relativity Theory
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
GenIC: An LLM-Based Framework for Instance Completion in Knowledge Graphs
Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
Variational Quantum Rainbow Deep Q-Network for Optimizing Resource Allocation Problem
Towards a Functionally Complete and Parameterizable TFHE Processor
High-Accuracy Approximation of Evolutionary Pairwise Games on Complex Networks
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning
2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing
Dimensionality and randomness
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging
Decomposing Linearly Constrained Nonconvex Problems by a Proximal Primal Dual Approach: Algorithms, Convergence, and Applications
Supremacy by Accelerated Warfare through the Comprehension Barrier and Beyond: Reaching the Zero Domain and Cyberspace Singularity
Pituitary Adenoma Volumetry with 3D Slicer
Counterfactual Explanations via Riemannian Latent Space Traversal
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference
Effectiveness in RPL, with Applications to Continuous Logic
Forecasting Irregularly Sampled Time Series using Graphs
A Survey on Multi-Resident Activity Recognition in Smart Environments
Analog Computing with Metatronic Circuits
A sharp version of Talagrand's selector process conjecture and an application to rounding fractional covers
Systematic Topology Analysis and Generation Using Degree Correlations
A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
Fast Collision Probability Estimation Based on Finite-Dimensional Monte Carlo Method
Dataset Factory: A Toolchain For Generative Computer Vision Datasets
Semantics for a Turing-complete Reversible Programming Language with Inductive Types
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding
Is there Value in Reinforcement Learning?
Adaptive Security and Trust Management for Autonomous Messaging Systems
Incorporating Syntactic Uncertainty in Neural Machine Translation with Forest-to-Sequence Model
An evaluation framework for event detection using a morphological model of acoustic scenes
New Online Ecology of Adversarial Aggregates: ISIS and beyond
Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice
Taming VAEs
TPGen: A Self-Stabilizing GPU-Based Method for Prime and Test Paths Generation
Skew cyclic codes over F p +uF p
TOP: Trajectory Optimization via Parallel Optimization towards Constant Time Complexity
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Efficient Point Clouds Upsampling via Flow Matching
Real time text localization for Indoor Mobile Robot Navigation
Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting
Complex-Valued Neural Networks for Ultra-Reliable Massive MIMO
Lattice attack on group ring NTRU: The case of the dihedral group
LILAC: Long-sequence Incremental Low-latency Arbitrary Motion Stylization via Streaming VAE-Diffusion with Causal Decoding
Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study
FAST: Searching for a Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging
Exploiting Active Subspaces in Global Optimization: How Complex is your Problem?
Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability
Subjective Bias in Abstractive Summarization
Berkeley Humanoid: A Research Platform for Learning-based Control
Motif Conservation Laws for the Configuration Model
CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research
Hamevol1.0: a C++ code for differential equations based on Runge-Kutta algorithm. An application to matter enhanced neutrino oscillation
Cyclegan Network for Sheet Metal Welding Drawing Translation
The Moving Discontinuous Galerkin Method with Interface Condition Enforcement for Robust Simulations of High-Speed Viscous Flows
Hidden cliques and the certification of the restricted isometry property
Bilinear CNN Models for Fine-grained Visual Recognition
Optical Aberration Correction in Postprocessing using Imaging Simulation
Investigating Semi-Supervised Learning Algorithms in Text Datasets
Incorporating travel behavior regularity into passenger flow forecasting
Time series classification for predictive maintenance on event logs
Integrating Uncertainties for Koopman-Based Stabilization
A non-local model for heterogeneous material flow on conveyor belts
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application
Fresh2comm: Information Freshness Optimized Collaborative Perception
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search
Nafas: Breathing Gymnastics Application
Threats and Corrective Measures for IoT Security with Observance to Cybercrime
Shooting method for solving two-point boundary value problems in ODEs numerically
SRS-Stories: Vocabulary-constrained multilingual story generation for language learning
VEnvision3D: A Synthetic Perception Dataset for 3D Multi-Task Model Research
Chordal-NMF with Riemannian Multiplicative Update
Automatic Left Atrial Appendage Orifice Detection for Preprocedural Planning of Appendage Closure
Constructing and Benchmarking: a Labeled Email Dataset for Text-Based Phishing and Spam Detection Framework
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
Vision-based system for a real-time detection and following of UAV
Forecasting asylum-related migration flows with machine learning and data at scale
Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus
DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution
Revisiting finite Abelian hidden subgroup problem and its distributed exact quantum algorithm
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning
NP is contained in DTIME(n^O(log^{gamma}))
Introducing and Interfacing with Cybersecurity - A Cards Approach
Natural interaction with traffic control cameras through multimodal interfaces
Improving the generalizability and robustness of large-scale traffic signal control
Exact model reduction for conditional quantum dynamics
Reasonable Anomaly Detection in Long Sequences
Batch based Monocular SLAM for Egocentric Videos
Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition
A Self-synchronized Image Encryption Scheme
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT
Type-Directed Code Reuse using Integer Linear Programming
AP Connection Method for Maximizing Throughput Considering User Moving and Degree of Interference Based on Potential Game
Mathematical Modeling Of Four Finger Robotic Grippers
A Primal-Dual Perspective on Program Verification Algorithms (Extended Version)
Differential privacy for protecting patient data in speech disorder detection using deep learning
AI-Assisted Generation of Difficult Math Questions
A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources
Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models
Efficient Data Retrieval and Comparative Bias Analysis of Recommendation Algorithms for YouTube Shorts and Long-Form Videos
KuaiRec: A Fully-observed Dataset for Recommender Systems
PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding
360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network