yusuke1997/dblp-id-title huggingface dataset:
Linear codes with few weights from non-weakly regular plateaued functions
Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos
Sparsity and Total Variation Constrained Multilayer Linear Unmixing for Hyperspectral Imagery
Convergence of the Riemannian Langevin Algorithm
Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy Morphology Analysis
LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
Design, modeling, and characteristics of ringshaped robot actuated by functional fluid
Parallel Telescoping and Parameterized Picard-Vessiot Theory
History-Preserving Bisimulations on Reversible Calculus of Communicating Systems
Optimal Transport-based Nonlinear Filtering in High-dimensional Settings
On the Robustness and Anomaly Detection of Sparse Neural Networks
Model-Based Testing of Safety Critical Real-Time Control Logic Software
An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE
Generalized Scattering Matrix Synthesis for Hybrid Systems with Multiple Scatterers and Antennas Using Independent Structure Simulations
Cut-Set Bounds for Generalized Networks
Self-healing Routing and Other Problems in Compact Memory
You Can Mask More For Extremely Low-Bitrate Image Compression
Energy efficient coded random access for the wireless uplink
Multiplicative Spanners in Minor-Free Graphs
Towards Robotic Laboratory Automation Plug & Play: The "LAPP" Framework
On Gradient Descent Convergence beyond the Edge of Stability
Do peers share the same criteria for assessing grant applications?
Delivery, consistency, and determinism: rethinking guarantees in distributed stream processing
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
Lower bounds on the Approximate Stabilizer Rank: A Probabilistic Approach
Feasibility Guaranteed Learning-to-Optimize in Wireless Communication Resource Allocation
CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC
An Efficient Dispatcher for Large Scale GraphProcessing on OpenCL-based FPGAs
Asymptotic Finite Sample Information Losses in Neural Classifiers
A C 0 finite element method for the biharmonic problem with Dirichlet boundary conditions in a polygonal domain
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
Generating new pictures in complex datasets with a simple neural network
Nanosatellite Constellation and Ground Station Co-design for Low-Latency Critical Event Detection
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
PL-EVIO: Robust Monocular Event-based Visual Inertial Odometry with Point and Line Features
STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls
New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences
Recursive Camera Painting: A Method for Real-Time Painterly Renderings of 3D Scenes
Multi-Agent Persistent Monitoring of Targets with Uncertain States
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Current Pathology Foundation Models are unrobust to Medical Center Differences
A unified surrogate-based scheme for black-box and preference-based optimization
Technological Strategy of Using Global Positioning System: An Analysis
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
The Cerny conjecture for automata respecting intervals of a directed graph
Joint Transmit and Receive Energy Minimization Over Multi-Carrier Two-Way Relay Networks
Using Localized Twitter Activity for Red Tide Impact Assessment
Infinite families of almost MDS codes holding 3-designs
Multivariate, Multi-step, and Spatiotemporal Traffic Prediction for NextG Network Slicing under SLA Constraints
Mildly Conservative Regularized Evaluation for Offline Reinforcement Learning
An Introduction of mini-AlphaStar
SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective
MCC: a Tool for Unfolding Colored Petri Nets in PNML Format
Risk Estimation Without Using Stein's Lemma - Application to Image Denoising
0-Step Capturability, Motion Decomposition and Global Feedback Control of the 3D Variable Height-Inverted Pendulum
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters
Impact of automation during innovative remanufacturing processes in circular economy: a state of the art
Galois Slicing as Automatic Differentiation
Learning Contact Dynamics for Control with Action-conditioned Face Interaction Graph Networks
SpikeGen: Generative Framework for Visual Spike Stream Processing
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
The Augustin Center and The Sphere Packing Bound For Memoryless Channels
How to Make a New Logic
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
LuxIA: A Lightweight Unitary matriX-based Framework Built on an Iterative Algorithm for Photonic Neural Network Training
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
Hey AI Can You Grade My Essay?: Automatic Essay Grading
Recent developments in controlled crowd dynamics
N-Parties Private Structure and Parameter Learning for Sum-Product Networks
Sampled Policy Gradient for Learning to Play the Game Agar.io
Algorithmic Networks: central time to trigger expected emergent open-endedness
Spike Synchronization Dynamics of Small-World Networks
On the Impossibility of Convergence of Mixed Strategies with No Regret Learning
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams
Transforming Monitoring Structures with Resilient Encoders. Application to Repeated Games
Fast Submodular Function Maximization
On Network-Error Correcting Convolutional Codes under the BSC Edge Error Model
Hyper-Transformer for Amodal Completion
Quantum CPOs
Matrix completion with data-dependent missingness probabilities
Fast Two-Dimensional Atomic Norm Minimization in Spectrum Estimation and Denoising
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution
VPTracker: Global Vision-Language Tracking via Visual Prompt and MLLM
Kolmogorov-Arnold Network for Online Reinforcement Learning
A machine learning pipeline for automated insect monitoring
Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
Risk of Harm in VR Dating from the Perspective of Women and LGBTQIA+ Stakeholders
Adaptive Online Optimization with Predictions: Static and Dynamic Environments
Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin
Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies
Technical report of "Empirical Study on Human Evaluation of Complex Argumentation Frameworks"
Polynomial Depth, Highness and Lowness for E
Multi-Agent Safety Verification using Symmetry Transformations
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena
ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems
PEPT: Expert Finding Meets Personalized Pre-training
Multi-scale deep neural networks for real image super-resolution
Adaptive modelling of variably saturated seepage problems
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
(k-2)-linear connected components in hypergraphs of rank k
Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
Robust Distribution Network Reconfiguration Using Mapping-based Column-and-Constraint Generation
A Comparative Study on the Performance of the Top DBMS Systems
Interpretable Machine Learning for Kronecker Coefficients
Matrix Completion from One-Bit Dither Samples
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Linear Programming Relaxations of Quadratically Constrained Quadratic Programs
Learning-Based Verification of Stochastic Dynamical Systems with Neural Network Policies
Insights on Harmonic Tones from a Generative Music Experiment
The 3D virtual environment online for real shopping
Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits
Stochastic Fractional Neural Operators: A Symmetrized Approach to Modeling Turbulence in Complex Fluid Dynamics
Density Estimation for Entry Guidance Problems using Deep Learning
Detecting TCP Packet Reordering in the Data Plane
Reinforcement Learning for LTLf/LDLf Goals
Fast Inference Using Automatic Differentiation and Neural Transport in Astroparticle Physics
How Much Content Do LLMs Generate That Induces Cognitive Bias in Users?
Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach
Likelihood Equilibria in the Ising Game
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
Automatic Ranking of MT Outputs using Approximations
Fact-Checking at Scale with DimensionRank
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations
Modernizing Open-Set Speech Language Identification
Enhancing Time-Series Anomaly Detection by Integrating Spectral-Residual Bottom-Up Attention with Reservoir Computing
Scaling up learning with GAIT-prop
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets
Zig-Zag Modules: Cosheaves and K-Theory
State-Denoised Recurrent Neural Networks
Millions of inequivalent quadratic APN functions in eight variables
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
Results from a replicated experiment on the affective reactions of novice developers when applying test-driven development
Examining users preferences towards vertical graphical toolbars in simple search and point tasks
JetLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables
ScratchR: Sharing User-generated Programmable Media
Safe Networked Robotics via Formal Verification
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems
Iteratively reweighted penalty alternating minimization methods with continuation for image deblurring
Going Deeper for Multilingual Visual Sentiment Detection
Metering traffic flows for perimeter control through auction-based signalling using connected vehicles
A type system for PSPACE derived from light linear logic
System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English
3D Cloud reconstruction through geospatially-aware Masked Autoencoders
Deep Spectral Prior
Asymptotic Capacity of Wireless Ad Hoc Networks with Realistic Links under a Honey Comb Topology
The DMT classification of real and quaternionic lattice codes
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game
On Two- and Three-valued Semantics for Impure Simplicial Complexes
Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees
Robust Fuel-Optimal Landing Guidance for Hazardous Terrain using Multiple Sliding Surfaces
Determine the point source of the heat equation with sparse boundary measurements
A compact topology for sand automata
Transfer Learning for Finetuning Large Language Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
PyTorch-Hebbian: facilitating local learning in a deep learning framework
WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views
Dynamic Topology Adaptation Based on Adaptive Link Selection Algorithms for Distributed Estimation
Spatio-temporal Aware Non-negative Component Representation for Action Recognition
Mesh Algorithms for PDE with Sieve I: Mesh Distribution
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information
LyricJam: A system for generating lyrics for live instrumental music
Amicable Aid: Turning Adversarial Attack to Benefit Classification
Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models
Direct Acquisition Optimization for Low-Budget Active Learning
SCANS: A Soft Gripper with Curvature and Spectroscopy Sensors for In-Hand Material Differentiation
Evaluation Pipeline for systematically searching for Anomaly Detection Systems
A user model for JND-based video quality assessment: theory and applications
On Automata with Boundary
Beyond Linear Algebra
Participant Perceptions of a Robotic Coach Conducting Positive Psychology Exercises: A Systematic Analysis
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction
Gemini MCAO Control System
3D digital reassembling of archaeological ceramic pottery fragments based on their thickness profile
Better bounds on optimal measurement and entanglement recovery, with applications to uncertainty and monogamy relations
Simultaneous regression and feature learning for facial landmarking
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries
Data Aggregation for Hierarchical Clustering
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation
Ashes 2013 - A network theory analysis of Cricket strategies
ADDENDUM Details of the Derivation of the Probability of Coverage for the Relaying Scheme (Section IV in the paper: "A Poisson Line Process based Framework for Determining the Needed RSU Density and Relaying Hops in Vehicular Networks")
On the Limitations of Provenance for Queries With Difference
A PAC-Bayesian Perspective on the Interpolating Information Criterion
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
Channel Assignment in Dense MC-MR Wireless Networks: Scaling Laws and Algorithms
Scalable Multi-view Clustering with Graph Filtering
CT-image Super Resolution Using 3D Convolutional Neural Network
Formation and Reconfiguration of Tight Multi-Lane Platoons
Comparative Analysis of Software Development Methods between Parallel, V-Shaped and Iterative
A Maslow-Inspired Hierarchy of Engagement with AI Model
Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations
A behavioural approach to obstacle avoidance for mobile manipulators based on distributed sensing
Simulation and design of shaped pulses beyond the piecewise-constant approximation
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
Finding teams that balance expert load and task coverage
Survey on Distributed Data Mining in P2P Networks
The Algebra of Meaning: Why Machines Need Montague More Than Moore's Law
A Versatile Data-Driven Framework for Model-Independent Control of Continuum Manipulators Interacting With Obstructed Environments With Unknown Geometry and Stiffness
Efficiently Learning and Sampling Interventional Distributions from Observations
Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning
A Concept Learning Tool Based On Calculating Version Space Cardinality
Partitioning and Self-organization of Distributed Generation in Large Distribution Networks
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics
Random problems with R
A Deep Learning Density Shaping Model Predictive Gust Load Alleviation Control of a Compliant Wing Subjected to Atmospheric Turbulence
Tutorial on amortized optimization for learning to optimize over continuous domains
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Fast Area-Weighted Peeling of Convex Hulls for Outlier Detection
LANISTR: Multimodal Learning from Structured and Unstructured Data
Distortions in Judged Spatial Relations in Large Language Models: The Dawn of Natural Language Geographic Data?
Zero-dynamics Attack, Variations, and Countermeasures
Speech Technology Services for Oral History Research
Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models
Nonlinear Control of a Quadrotor UAV Using Backstepping-Based Sliding Mode Technique
Lattice operations for the stable set in substitutable matching markets via re-equilibration dynamics
Using Social Information for Flow Allocation in MANETs
Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions
Comparison Of Modified Dual Ternary Indexing And Multi-Key Hashing Algorithms For Music Information Retrieval
Fusion Tree Sorting
Development of Augmented Reality Application for Made-to-Order Furniture Industry in Pampanga, Philippines
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment
MSWA: Refining Local Attention with Multi-ScaleWindow Attention
Sparsity Aware Normalized Least Mean p-power Algorithms with Correntropy Induced Metric Penalty
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering
Measuring Responsiveness in the Online Public Sphere for the 2016 U.S. Election: Concepts
FixMiner: Mining Relevant Fix Patterns for Automated Program Repair
Multifaceted 4D Feature Segmentation and Extraction in Point and Field-based Datasets
Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation
MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports
Dynamic Watermarking for General LTI Systems
Uncovering Urban Mobility and City Dynamics from Large-Scale Taxi Origin-Destination (O-D) Trips: Case Study in Washington DC Area
A Recruitment and Human Resource Management Technique Using Blockchain Technology for Industry 4.0
Computing the BWT and LCP array of a Set of Strings in External Memory
Traffic-aware Patching for Cyber Security in Mobile IoT
Optimistic bounds for multi-output prediction
City-Scale Multi-Camera Vehicle Tracking System with Improved Self-Supervised Camera Link Model
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
PUGS: Zero-shot Physical Understanding with Gaussian Splatting
Efficient IoT Inference via Context-Awareness
Resource Allocation for Downlink Channel Transmission Based on Superposition Coding
A Graph-Based Modelling of Epidemics]{A Graph-Based Modelling of Epidemics: Properties, Simulation, and Continuum Limit
gem5 Co-Pilot: AI Assistant Agent for Architectural Design Space Exploration
FlowRL: Matching Reward Distributions for LLM Reasoning
Organ Shape Sensing using Pneumatically Attachable Flexible Rails in Robotic-Assisted Laparoscopic Surgery
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders
JDNN: Jacobi Deep Neural Network for Solving Telegraph Equation
Simple Methods for Scanner Drift Normalization Validated for Automatic Segmentation of Knee Magnetic Resonance Imaging - with data from the Osteoarthritis Initiative
How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
Opti{c,m}al: Optical/Optimal Routing in Massively Dense Wireless Networks
Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications
Perfusion Linearity and Its Applications
Plot Writing From Pre-Trained Language Models
Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
Tertiary Lymphoid Structures Generation through Graph-based Diffusion
Decoding the Surgical Scene: A Scoping Review of Scene Graphs in Surgery
Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
Graph Encoder Embedding
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs
Extension-based Semantics of Abstract Dialectical Frameworks
MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites
Proceedings Twentieth International Workshop on Logical Frameworks and Meta-Languages: Theory and Practice
Mechanisms for Selling an Item Among a Strategic Bidder and a Profiled Agent
Teacher-Student chain for efficient semi-supervised histology image classification
Tiny Lidars for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments
Data-driven approach to the design of complexing agents for trivalent transuranium elements
Kinematic Resolutions of Redundant Robot Manipulators using Integration-Enhanced RNNs
MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification
Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair
Minimax Policy for Heavy-tailed Multi-armed Bandits
Analysis of Cause-Effect Inference via Regression Errors
Gate Optimization of NEQR Quantum Circuits via PPRM Transformation
STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons
State Compression of Markov Processes via Empirical Low-Rank Estimation
Computing optimal experimental designs on finite sets by log-determinant gradient flow
Physical Layer Network Coding for the Multiple Access Relay Channel
On the Bit Error Probability of DMA-Based Systems
Data-Driven Track Following Control for Dual Stage-Actuator Hard Disk Drives
Secure parameter identification of ARX systems with CKKS cryptosystem
TransNet V2: An effective deep network architecture for fast shot transition detection
Fast hyperboloid decision tree algorithms
Modification of Symmetric Cryptography with Combining Affine Chiper and Caesar Chiper which Dynamic Nature in Matrix of Chiper Transposition by Applying Flow Pattern in the Planting Rice
Some Comments on the Strong Simplex Conjecture
MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network
GaRField++: Reinforced Gaussian Radiance Fields for Large-Scale 3D Scene Reconstruction
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
Complexity, Development, and Evolution in Morphogenetic Collective Systems
Solving internal covariate shift in deep learning with linked neurons
Bootstrapping Task Spaces for Self-Improvement