yusuke1997/dblp-id-title huggingface dataset:
Influential Language Data Selection via Gradient Trajectory Pursuit
Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness
Intelligent Subset Selection of Power Generators for Economic Dispatch
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022)
Dynamic Latent Graph-Guided Neural Temporal Point Processes
Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-Making
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review
Self-Supervised Monocular Image Depth Learning and Confidence Estimation
Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Video Quality Assessment: A Comprehensive Survey
Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits
Measuring the effectiveness of code review comments in GitHub repositories: A machine learning approach
Fuel-Optimal Powered Descent Guidance for Hazardous Terrain
Open-World Weakly-Supervised Object Localization
Towards optimal quality requirement documentation in agile software development: a multiple case study
ROAD-R: The Autonomous Driving Dataset with Logical Requirements
MoCoViT: Mobile Convolutional Vision Transformer
Matrix representations of spiking neural P systems: Revisited
A Bayesian Perspective for Determinant Minimization Based Robust Structured Matrix Factorizatio
Minimum-Latency FEC Design with Delayed Feedback: Mathematical Modeling and Efficient Algorithms
Substrate engineering of inductors on SOI for improvement of Q-factor and application in LNA
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Gaussian Elimination with Randomized Complete Pivoting
Input Adaptive Bayesian Model Averaging
A Critical Roadmap to Driver Authentication via CAN Bus: Dataset Review, Introduction of the Kidmose CANid Dataset (KCID), and Proof of Concept
Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
DiffVL: Diffusion-Based Visual Localization on 2D Maps via BEV-Conditioned GPS Denoising
Dpush: A scalable decentralized spam resistant unsolicited messaging protocol
The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge
Reducing real-time complexity via sub-control Lyapunov functions: from theory to experiments
MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation
The End of Digital Humanities and the Future of Manuscript Studies
WriterForcing: Generating more interesting story endings
Uncovering Soccer Teams Passing Strategies Using Implication Rules
A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation
Approximate Deconvolution Leray Reduced Order Model for Convection-Dominated Flows
Detection of Personal Data in Structured Datasets Using a Large Language Model
Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information
Towards High-fidelity Nonlinear 3D Face Morphable Model
On the Products of Stochastic and Diagonal Matrices
Why Linear Programming cannot solve large instances of NP-complete problems in polynomial time
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols
MuFlex: A Scalable, Physics-based Platform for Multi-Building Flexibility Analysis and Coordination
Application-Layer Coding with Intermittent Feedback under Delay and Duty-Cycle Constraints
Can SDN Mitigate Disasters?
AI TIPS 2.0: A Comprehensive Framework for Operationalizing AI Governance
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry
ForecastTB - An R Package as a Test-bench for Forecasting Methods Comparison
Towards Coherent Visual Storytelling with Ordered Image Attention
Current Practices for Building LLM-Powered Reasoning Tools Are Ad Hoc - and We Can Do Better
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications
In-Memory Sorting-Searching with Cayley Tree
Optimal Containment of Epidemics in Temporal and Adaptive Networks
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Using Machine Learning Predictions to Speed-up Dijkstra's Shortest Path Algorithm
Lessons Learned from Developing a Privacy-Preserving Multimodal Wearable for Local Voice-and-Vision Inference
Any-Step Density Ratio Estimation via Interval-Annealed Secant Alignment
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
Face Detection in Repeated Settings
Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components
Exploit imaging through opaque wall via deep learning
On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
Reinforcement Learning Driven Heuristic Optimization
Error estimates for physics informed neural networks approximating the Navier-Stokes equations
Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation
An end-to-end TextSpotter with Explicit Alignment and Attention
From Stochastic to Bit Stream Computing: Accurate Implementation of Arithmetic Circuits and Applications in Neural Networks
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis
Automatic Image Pixel Clustering based on Mussels Wandering Optimiz
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator
Evidential Deep Learning with Spectral-Spatial Uncertainty Disentanglement for Open-Set Hyperspectral Domain Generalization
Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autononomous Driving
Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing
System Performance with varying L1 Instruction and Data Cache Sizes: An Empirical Analysis
Moment Propagation of Discrete-Time Stochastic Polynomial Systems using Truncated Carleman Linearization
The Geometry of Optimal Gait Families for Steering Kinematic Locomoting Systems
Identifiability of dynamic networks with noisy and noise-free nodes
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models
Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture
The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery
Evaluating the Significance of Outdoor Advertising from Driver's Perspective Using Computer Vision
Entropy-stable in- and outflow boundary conditions for the compressible Navier-Stokes equations
Diamond Solitaire
Theoretical and Experimental Assessment of Large Beam Codebook at mmWave Devices: How Much is Enough?
Structure Regularization for Structured Prediction: Theories and Experiments
DHARI Report to EPIC-Kitchens 2020 Object Detection Challenge
DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer
Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks
Boundary Interpolation on Triangles via Neural Network Operators
Hull's Parameters of Projective Reed-Muller Code
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
Multivariate Conformal Prediction via Conformalized Gaussian Scoring
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
Permutation codes over finite fields
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Local and Global Analysis of Parametric Solid Sweeps
Learning based Facial Image Compression with Semantic Fidelity Metric
The Docking Game: Loop Self-Play for Fast, Dynamic, and Accurate Prediction of Flexible Protein-Ligand Binding
Hierarchical clustering with maximum density paths and mixture models
xPQA: Cross-Lingual Product Question Answering across 12 Languages
Research on the Laws of Multimodal Perception and Cognition from a Cross-cultural Perspective - Taking Overseas Chinese Gardens as an Example
Learning to track environment state via predictive autoencoding
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
Data-driven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning
Learning to Sketch with Shortcut Cycle Consistency
Generative Design of Crystal Structures by Point Cloud Representations and Diffusion Model
Towards a new approach of continuous process improvement based on CMMI and PMBOK
Reliablocks: Developing Reliability Scores for Optimistic Rollups
An efficient algorithm to test forcibly-connectedness of graphical degree sequences
Can Transformers In-Context Learn Behavior of a Linear Dynamical System?
Look, Recite, Then Answer: Enhancing VLM Performance via Self-Generated Knowledge Hints
A Multi-level Blocking Distinct Degree Factorization Algorithm
Model agnostic signal encoding by leaky integrate and fire, performance and uncertainty
On the Local convergence of two-step Newton type Method in Banach Spaces under generalized Lipschitz Conditions
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics
Simplex2Vec embeddings for community detection in simplicial complexes
Governance, Risk, and Regulation: A Framework for Improving Efficiency in Kenyan Pension Funds
Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy
Model Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions
From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
L-MARS: Legal Multi-Agent Workflow with Orchestrated Reasoning and Agentic Search
Multisensor Online Transfer Learning for 3D LiDAR-based Human Classification with a Mobile Robot
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems
On the Performance Evaluation of Encounter-based Worm Interactions Based on Node Characteristics
SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?
Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration
Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding
Multilayer network simplification: approaches, models and methods
Quantum impossible differential and truncated differential cryptanalysis
An Active Learning Framework for Constructing High-fidelity Mobility Maps
Design of an Efficient Fan-Shaped Clustered Trust-Based Routing Model with QoS & Security-Aware Side-Chaining for IoV Deployments
HELLINGER-UCB: A novel algorithm for stochastic multi-armed bandit problem and cold start problem in recommender system
SynthGuard: An Open Platform for Detecting AI-Generated Multimedia with Multimodal LLMs
Personality as a Probe for LLM Evaluation: Method Trade-offs and Downstream Effects
A problem related to the divisibility of exponential sums
Exponential methods for anisotropic diffusion
New Non-Equivalent (Self-Dual) MDS Codes From Elliptic Curves
The CARFAC v2 Cochlear Model in Matlab, NumPy, and JAX
Generation and frame characteristics of predefined evenly-distributed class centroids for pattern classification
Compositional Physical Reasoning of Objects and Events from Videos
Attention Based Feature Fusion For Multi-Agent Collaborative Perception
Challenges for Unsupervised Anomaly Detection in Particle Physics
Modeling Multi-Cell IEEE 802.11 WLANs with Application to Channel Assignment
Generative Digital Twins: Vision-Language Simulation Models for Executable Industrial Systems
An Inference Attack Model for Flow Table Capacity and Usage: Exploiting the Vulnerability of Flow Table Overflow in Software-Defined Network
Generative Edge Detection with Stable Diffusion
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
On the matching of eigensolutions to parametric partial differential equations
Estimating Network Effects Using Naturally Occurring Peer Notification Queue Counterfactuals
Model Predictive Control of Non-Holonomic Vehicles: Beyond Differential-Drive
Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error
Give Me a Choice: The Consequences of Restricting Choices Through AI-Support for Perceived Autonomy, Motivational Variables, and Decision Performance
Linear-size Suffix Tries for Parameterized Strings
Self Speculative Decoding for Diffusion Large Language Models
Lecture notes on complexity of quantifier elimination over the reals
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Exact and Approximate Hidden Markov Chain Filters Based on Discrete Observations
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Multirotor Planning in Dynamic Environments using Temporal Safe Corridors
Terrain Visibility Graphs and Cyclic Polytope Triangulations
Uncapacitated Flow-based Extended Formulations
Structure and Randomness of Continuous-Time Discrete-Event Processes
Large Language Model(LLM) assisted End-to-End Network Health Management based on Multi-Scale Semanticization
Where's the "up"?! A Comprehensive (bottom-up) Study on the Security of Arm Cortex-M Systems
Population Synthesis using Incomplete Information
PRIME: Protect Your Videos From Malicious Editing
Learning Abstract and Transferable Representations for Planning
Simple And Efficient Architecture Search for Convolutional Neural Networks
A Generalization of the Allreduce Operation
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Low cost page quality factors to detect web spam
Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition
2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA
PyGraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips
Design Based Teaching for Science and Engineering Students
Ricci Curvature of the Internet Topology
Bayesian scaling laws for in-context learning
More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce
Learning Inverse Laplacian Pyramid for Progressive Depth Completion
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Blockchain for Decentralized Multi-Drone to Combat COVID-19
FMSG-JLESS Submission for DCASE 2024 Task4 on Sound Event Detection with Heterogeneous Training Dataset and Potentially Missing Labels
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study
Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles
Hybrid Rounding Techniques for Knapsack Problems
Outlier Detection using Generative Models with Theoretical Performance Guarantees
DNA-inspired online behavioral modeling and its application to spambot detection
Batch Selection for Parallelisation of Bayesian Quadrature
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
Checkification: A Practical Approach for Testing Static Analysis Truths
Automated Discovery of Functional Actual Causes in Complex Environments
Efficient Numerical Algorithm for Large-Scale Damped Natural Gradient Descent
MMD-Flagger: Leveraging Maximum Mean Discrepancy to Detect Hallucinations
A Brain-inspired Computational Model for Human-like Concept Learning
Joint Hybrid Beamforming and Artificial Noise Design for Secure Multi-UAV ISAC Networks
Extending Monocular Visual Odometry to Stereo Camera System by Scale Optimization
BreakFun: Jailbreaking LLMs via Schema Exploitation
pokiSEC: A Multi-Architecture, Containerized Ephemeral Malware Detonation Sandbox
Adding Instructions during Pretraining: Effective Way of Controlling Toxicity in Language Models
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models
Generative AI for Visualization: State of the Art and Future Directions
RLIBM-32: High Performance Correctly Rounded Math Libraries for 32-bit Floating Point Representations
Alzheimers Disease Classification in Functional MRI With 4D Joint Temporal-Spatial Kernels in Novel 4D CNN Model
Non-Parametric Calibration of Probabilistic Regression
Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach
Simple one-shot bounds for various source coding problems using smooth Renyi quantities
Radiology Report Generation with Layer-Wise Anatomical Attention
Active Noise Control with Sampled-Data Filtered-x Adaptive Algorithm
Data driven weather forecasts trained and initialised directly from observations
Cutting a tree with Subgraph Complementation is hard, except for some small trees
Improving Deep Image Clustering With Spatial Transformer Layers
An Internet-wide Penetration Study on NAT Boxes via TCP/IP Side Channel
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation
Infinite families of linear codes supporting more t-designs
Exploiting Web Search Tools of AI Agents for Data Exfiltration
Covert Vehicle Misguidance and Its Detection: A Hypothesis Testing Game over Continuous-Time Dynamics
Distributed search on graphs using discrete time quantum walk
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
GRAFT: Grid-Aware Load Forecasting with Multi-Source Textual Alignment and Fusion
The Control Theory of Motion-Based Communication: Problems in Teaching Robots to Dance
Enumerating planar locally finite Cayley graphs
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems
Surprise Potential as a Measure of Interactivity in Driving Scenarios
Design of a Polymer-based Steerable Cannula for Neurosurgical Applications
Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
Learning Oracle Attention for High-fidelity Face Completion
Reinforcement Learning via Reasoning from Demonstration
A tableau methodology for deontic conditional logics
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
What is Cybersecurity in Space?
Tomographic reconstruction to detect evolving structures
MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control
Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources
UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue
Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation
Perceived Social Loafing in Undergraduate Software Engineering Teams
American Sign Language Video to Text Translation
Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems
Cosmetic-Aware Makeup Cleanser
Mitigating Gender Bias in Machine Translation through Adversarial Learning
Agent Identity Evals: Measuring Agentic Identity
Minimizing Age of Incorrect Information in the Presence of Timeout
Multi-Robot Coordination with Adversarial Perception
Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription
Cluster Size Management in Multi-Stage Agglomerative Hierarchical Clustering of Acoustic Speech Segments
Discovering Governing Equations by Machine Learning implemented with Invariance
Explicit port-Hamiltonian FEM models for geometrically nonlinear mechanical systems
An Amphibious Fully-Soft Miniature Crawling Robot Powered by Electrohydraulic Fluid Kinetic Energy
WaterQualityNeT: Prediction of Seasonal Water Quality of Nepal Using Hybrid Deep Learning Models
Anomalous entities detection using a cascade of deep learning models
Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network
SynSin: End-to-end View Synthesis from a Single Image
State-aware Anti-drift Robust Correlation Tracking
EviDense: a Graph-based Method for Finding Unique High-impact Events with Succinct Keyword-based Descriptions
Error Analysis for Quadtree-Type Mesh-Coarsening Algorithms Adapted to Pixelized Heterogeneous Microstructures
Exploring the Cybersecurity-Resilience Gap: An Analysis of Student Attitudes and Behaviors in Higher Education
Sequential Circuits from Regular Expressions Revisited
Classical Policy Gradient: Preserving Bellman's Principle of Optimality
DAN: A Deformation-Aware Network for Consecutive Biomedical Image Interpolation
An Experimental Investigation of Hyperbolic Routing with a Smart Forwarding Plane in NDN
Temporal Inductive Logic Reasoning
A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signals
Transfer Learning for Control Systems via Neural Simulation Relations
Adaptive Latent-Space Constraints in Personalized FL
Pedestrian Static Trajectory Analysis of a Hypermarket
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
Warm-Start AlphaZero Self-Play Search Enhancements
Soundness and completeness of the cirquent calculus system CL6 for computability logic
RAN Functional Splits in NTN: Architectures and Challenges
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Profiling the carbon footprint of performance bugs
Large Language Models Inference Engines based on Spiking Neural Networks
Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints
Hadaptive-Net: Efficient Vision Models via Adaptive Cross-Hadamard Synergy
A Deep Learning Approach to Nonconvex Energy Minimization for Martensitic Phase Transitions
Uniqueness theorem for analytic functions and its application in denoising problem
Distributed satellite information networks: Architecture, enabling technologies, and trends
COVID-19 Image Data Collection: Prospective Predictions Are the Future
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
Resistant Algorithms: Obtaining Simpler Proofs by Excluding Corner Cases
SysMoBench: Evaluating AI on Formally Modeling Complex Real-World Systems
A Non-Intrusive and Context-Based Vulnerability Scoring Framework for Cloud Services
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification
Program Behavior Analysis and Clustering using Performance Counters
What Should the System Do Next?: Operative Action Captioning for Estimating System Actions
Agent cognition through micro-simulations: Adaptive and tunable intelligence with NetLogo LevelSpace
A latent linear model for nonlinear coupled oscillators on graphs
COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
A Systematic Literature Review of Computer Science MOOCs for K-12 education
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
ControlRoom3D: Room Generation using Semantic Proxy Rooms
Securing Kiosk using Mobile Devices coupled with Visual Inspection
Memetic algorithms for Spatial Partitioning problems
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC
Isabelle/PIDE as Platform for Educational Tools
Decentralised L1 Adaptive Primary Controllers and Distributed Consensus-Based Secondary Control for DC Microgrids with Constant-Power Loads
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline
Design of Soft, Modular Appendages for a Bio-inspired Multi-Legged Terrestrial Robot
Assessing the Security of OPC UA Deployments
No Regret Sample Selection with Noisy Labels