yusuke1997/dblp-id-title huggingface dataset:
Improving Reinforcement Learning Sample-Efficiency using Local Approximation
Minimum-gain Pole Placement with Sparse Static Feedback
MutualGraphNet: A novel model for motor imagery classification
Covert Channel Attack to Federated Learning Systems
USBee: Air-Gap Covert-Channel via Electromagnetic Emission from USB
Semantic Co-Speech Gesture Synthesis and Real-Time Control for Humanoid Robots
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
Multi-stream Convolutional Neural Network with Frequency Selection for Robust Speaker Verification
Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Coverage Biases in High-Resolution Satellite Imagery
Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models
Graph Consistency as a Graduated Property: Consistency-Sustaining and -Improving Graph Transformations
Progressive Hologram Generation Based on Object Saliency
A Game-Theoretic Method for Multi-Period Demand Response: Revenue Maximization, Power Allocation, and Asymptotic Behavior
Two Power Series Models of Self-Similarity in Social Networks
Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
Report on the "Secure Vehicular Communications: Results and Challenges Ahead" Workshop
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout
Tag-based Multi-Span Extraction in Reading Comprehension
ICD-LM: Configuring Vision-Language In-Context Demonstrations by Language Modeling
Multi-Agent Join
SemNav: A Model-Based Planner for Zero-Shot Object Goal Navigation Using Vision-Foundation Models
Convex optimization for the densest subgraph and densest submatrix problems
Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection
Modelling financial volume curves with hierarchical Poisson processes
Language-Agnostic Modeling of Source Reliability on Wikipedia
Deep Latent-Variable Models for Text Generation
Anomaly Detection in Unstructured Environments using Bayesian Nonparametric Scene Modeling
Maximal Spaces for Approximation Rates in 𝓁 1 -regularization
A Multi-Scale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3D Nuclear Cardiac Images
Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study
Stability analysis of discontinuous Galerkin with a high order embedded boundary treatment for linear hyperbolic equations
The relationship between episcopal genealogy and ideology in the Roman Catholic Church
Bidding in Ancillary Service Markets: An Analytical Approach Using Extreme Value Theory
EASG-Bench: Video Q&A Benchmark with Egocentric Action Scene Graphs
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
Neural Correlates of Language Models Are Specific to Human Language
Transport in reservoir computing
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation
Toward certified quantum programming
The many roads to the simulation of reaction systems
Learning-based Traversability Costmap for Autonomous Off-road Navigation
Physics-Informed Graph Neural Network with Frequency-Aware Learning for Optical Aberration Correction
PyTOaCNN: Topology optimization using an adaptive convolutional neural network in Python
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
A characterization of two-weight projective cyclic codes
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
Preemptive Scheduling of EV Charging for Providing Demand Response Services
New Ideas for Brain Modelling 7
Phase transitions in social networks inspired by the Schelling model
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
On the Performance Limits of Scalar Coding Over MISO Channels
Deep Learning for Classifying Food Waste
Video Color Grading via Look-Up Table Generation
Coding and Decoding Schemes for MSE and Image Transmission
Distribution-Free Stochastic MPC for Joint-in-Time Chance-Constrained Linear Systems
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
Quantum Algorithm for the Multicollision Problem
Data Cooperatives: Democratic Models for Ethical Data Stewardship
Exploring Diffusion and Flow Matching Under Generator Matching
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
Automatic Image Co-Segmentation: A Survey
Limitations of the recall capabilities in delay based reservoir computing systems
Parallel Coordinates for Discovery of Interpretable Machine Learning Models
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction
MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models
Weighted QMIX: Expanding Monotonic Value Function Factorisation
Learning Visuo-Motor Behaviours for Robot Locomotion Over Difficult Terrain
Constrained Object Placement Using Reinforcement Learning
Chain of Compression: A Systematic Approach to Combinationally Compress Convolutional Neural Networks
MVP: Multi-Stage Vision-Language Pre-Training via Multi-Level Semantic Alignment
Preference-based Energy Exchange in a Network of Microgrids
Entropy-based Probing Beam Selection and Beam Prediction via Deep Learning
Differential Testing of a Verification Framework for Compiler Optimizations (Experience Paper)
PASS: Presentation Automation for Slide Generation and Speech
Learning by solving differential equations
Asynchronous Byzantine Agreement in Incomplete Networks [Technical Report]
PyTorch Tabular: A Framework for Deep Learning with Tabular Data
Fixing exposure bias with imitation learning needs powerful oracles
Retrieval-Augmented Generation with Hierarchical Knowledge
Deep Stereo Image Compression with Decoder Side Information using Wyner Common Information
Shape identification and classification in echolocation
Novel Fundus Image Preprocessing for Retcam Images to Improve Deep Learning Classification of Retinopathy of Prematurity
Modular Linear Tokenization (MLT)
Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms
Adaptive Label Smoothing for Out-of-Distribution Detection
Attention-Based Lip Audio-Visual Synthesis for Talking Face Generation in the Wild
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning
Accessible Survey of Evolutionary Robotics and Potential Future Research Directions
A Note on Inexact Condition for Cubic Regularized Newton's Method
Causal Structure Learning with Recommendation System
Discrete Algebraic sets in Discrete Manifolds
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
Online Cycle Detection for Models with Mode-Dependent Input and Output Dependencies
TransCrowd: Weakly-Supervised Crowd Counting with Transformer
Fast Dual-Radio Cross-Layer Handoffs in Multi-Hop Infrastructure-mode 802.11 Wireless Networks for In-Vehicle Multimedia Infotainment
Maximising Manipulability During Resolved-Rate Motion Control
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Networked Drones for Industrial Emergency Events
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce
Uncertainty-Aware Step-wise Verification with Generative Reward Models
Semantic Data Representation for Explainable Windows Malware Detection Models
Sample Compression for Continual Learning
DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation
Coevolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective
Mesoscale simulation of woven composite design decisions
Hidden bawls, whispers, and yelps: can text be made to sound more than just its words?
Image Restoration Using Conditional Random Fields and Scale Mixtures of Gaussians
SymAR: Symmetry Abstractions and Refinement for Accelerating Scenarios with Neural Network Controllers Verification
Mobile Agents Rendezvous in spite of a Malicious Agent
MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling
Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice
Research on Personal Credit Risk Assessment Methods Based on Causal Inference
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
Dream to Drive: Model-Based Vehicle Control Using Analytic World Models
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
A recurrent connectionist model of melody perception : An exploration using TRACX2
Learning to Split: A Reinforcement-Learning-Guided Splitting Heuristic for Neural Network Verification
Active Learning of Custering with Side Information Using $\eps$-Smooth Relative Regret Approximations
BioCoref: Benchmarking Biomedical Coreference Resolution with LLMs
Visual Execution and Validation of Finite-State Machines and Pushdown Automata
How to Construct Deep Recurrent Neural Networks
Binary Codes with Locality for Four Erasures
Assessment of the Utilization of Quadruped Robots in Pharmaceutical Research and Development Laboratories
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance
Anticipating Bugs: Ticket-Level Bug Prediction and Temporal Proximity Effects
MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models
Failure Probability Estimation and Detection of Failure Surfaces via Adaptive Sequential Decomposition of the Design Domain
Electronic Medication Prescribing Support System for Diagnosing Tropical Diseases
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
LayerPipe2: Multistage Pipelining and Weight Recompute via Improved Exponential Moving Average for Training Neural Networks
From Next Token Prediction to (STRIPS) World Models - Preliminary Results
Who Gets Heard? Rethinking Fairness in AI for Music Systems
The Stability of Convergence of Curve Evolutions in Vector Fields
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs
Image Classification using Sequence of Pixels
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]
Modeling Vocabulary for Big Code Machine Learning
A Combinatorial Theory of Dropout: Subnetworks, Graph Geometry, and Generalization
"Look Ma, No Hands!" A Parameter-Free Topic Model
SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing
Decision Transformer for Wireless Communications: A New Paradigm of Resource Management
Automatic semigroups vs automaton semigroups
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization
Evoking realistic affective touch experiences in virtual reality
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance
Meta Continual Learning via Dynamic Programming
Speaker Adaptive Training using Model Agnostic Meta-Learning
Convolutional neural network for Fourier ptychography video reconstruction: learning temporal dynamics from spatial ensembles
Learning Numerical Action Models from Noisy Input Data
Decoding Emotional Experience through Physiological Signal Processing
Geometric Interpretation of 3-SAT and Phase Transition
HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysis
Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
Aggregating Information and Preferences with Bounded-Size Deviations
Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild
Potent Tree Codes and their applications: Coding for Interactive Communication, revisited
Analysis of the various key management algorithms and new proposal in the secure multicast communications
An octagon containing the numerical range of a bounded linear operator
Generalized Master Equations for Non-Poisson Dynamics on Networks
Picard-KKT-hPINN: Enforcing Nonlinear Enthalpy Balances for Physically Consistent Neural Networks
CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking
Graphs with Multiple Sources per Vertex
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy
Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction
Learning a Machine for the Decision in a Partially Observable Markov Universe
Linear-Vertex Kernel for the Problem of Packing r-Stars into a Graph without Long Induced Paths
Reinforcement Learning of Graph Neural Networks for Service Function Chaining
Unsupervised Learning of Invariant Representations in Hierarchical Architectures
Secure Communication through Wireless-Powered Friendly Jamming: Jointly Online Optimization over Geography, Energy and Time
Graph Distances and Clustering
Stochastic Broadcast Control of Multi-Agent Swarms
Improving Size-Change Analysis in Offline Partial Evaluation
TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video
Evaluating Automatic Speech Recognition in an Incremental Setting
K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement
HLS-Eval: A Benchmark and Framework for Evaluating LLMs on High-Level Synthesis Design Tasks
Prognostics-Informed Battery Reconfiguration in a Multi-Battery Small UAS Energy System
On-Policy Fine-grained Knowledge Feedback for Hallucination Mitigation
Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation
Relational Semigroups and Object-Free Categories
Stochastic Compositional Optimization with Compositional Constraints
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs
FAST: A Future Aircraft Sizing Tool for Advanced Aircraft and Propulsion System Design
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series
Trends in deep learning for medical hyperspectral image analysis
Comparative Analysis Of Discriminative Deep Learning-Based Noise Reduction Methods In Low SNR Scenarios
Less is More: Data Value Estimation for Visual Instruction Tuning
IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading?
Beyond the rich-club: Properties of networks related to the better connected nodes
Neural Coreference Resolution based on Reinforcement Learning
Transforming Weather Data from Pixel to Latent Space
Reduced Efficiency in the Attentional Network During Distractor Suppression in Mild Cognitive Impairment
Generalizing Prototype Theory: A Formal Quantum Framework
Cascaded Models for Better Fine-Grained Named Entity Recognition
Self-triggered Pursuit of a Single Evader with Uncertain Information
Fault Tolerant Consensus Agreement Algorithm
An optimal MOO strategy
Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers
Scaling Algorithm Distillation for Continuous Control with Mamba
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
Next-Generation AI-Native Wireless Communications: MCMC-Based Receiver Architectures for Unified Processing
Semi-Supervised Learning for Face Sketch Synthesis in the Wild
Recurrent Deep Kernel Learning of Dynamical Systems
Task Planning for Object Rearrangement in Multi-room Environments
Access Controls Will Solve the Dual-Use Dilemma
Headroom as A Grid Service in Software-Defined Power Grids: A Peak-to-Peak Control Design Approach
Zero-Shot Wildlife Sorting Using Vision Transformers: Evaluating Clustering and Continuous Similarity Ordering
Batch Codes from Hamming and Reed-Müller Codes
Utility Optimal Scheduling in Degree-Limited Satellite Networks
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models
Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving
Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations
Improving Sample Efficiency with Normalized RBF Kernels
On Cooperation in Multi-Terminal Computation and Rate Distortion
Edge-averaged virtual element methods for convection-diffusion and convection-dominated problems
Detection of financial opportunities in micro-blogging data with a stacked classification system
Instability of Self-Driving Satellite Mega-Constellation: From Theory to Practical Impacts on Network Lifetime and Capacity
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture
Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions
On the Design of Locking Free Ghost Penalty Stabilization and the Relation to CutFEM with Discrete Extension
Two Approaches to Supervised Image Segmentation
Representation Learning over Dynamic Graphs
Detecting Cattle and Elk in the Wild from Space
Experiments with Optimal Model Trees
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms
Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language
Learning Enhancement in Higher Education with Wearable Technology
Local and Global Trust Based on the Concept of Promises
Types, equations, dimensions and the Pi theorem
A Game Theoretic Approach to Distributed Opportunistic Scheduling
Hierarchical Frequency Control of Hybrid Power Plants Using Frequency Response Observer
S-hull: a fast radial sweep-hull routine for Delaunay triangulation
Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators
Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
On the Compositional Generalization of Multimodal LLMs for Medical Imaging
Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks
Uncovering Hidden Dependency in Weighted Networks via Information Entropy
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
Dataset-Level Attribute Leakage in Collaborative Learning
DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data
P 2 SDF for Neural Indoor Scene Reconstruction
Stability and Convergence Analysis of Multi-Agent Consensus with Communication Delays: A Lambert W Function Approach
Association Rules Mining with Auto-Encoders
A Data-Driven Method for Microgrid System Identification: Physically Consistent Sparse Identification of Nonlinear Dynamics
Hierarchical Contextual Grounding LVLM: Enhancing Fine-Grained Visual-Language Understanding with Robust Grounding
A proposal to a generalised splicing with a self assembly approach
Data-driven Basis for Reconstructing the Contrast in Born Inverse Scattering: Picard Criterion, Regularity, Regularization and Stability
Connectivity of Large Scale Networks: Emergence of Unique Unbounded Component
Canonical Gradings of Monads
Using Bayesian Optimization to Design Time Step Size Controllers with Application to Modified Patankar-Runge-Kutta Methods
A survey of non-exchangeable priors for Bayesian nonparametric models
Emotional Distraction for Children Anxiety Reduction During Vaccination
Making Beshbarmak: Games for Central Asian Cultural Heritage
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks
Comparing YOLOv8 and Mask RCNN for object segmentation in complex orchard environments
Learning to integrate vision data into road network data
Evolution and development of complex computational systems using the paradigm of metabolic computing in Epigenetic Tracking
Diamond in the rough: Improving image realism by traversing the GAN latent space
Unraveling Human-AI Teaming: A Review and Outlook
Provable Non-Convex Optimization and Algorithm Validation via Submodularity
On the use of recurrent neural networks for predictions of turbulent flows
Virtual Lenses as Embodied Tools for Immersive Analytics
FOX: Hardware-Assisted File Auditing for Direct Access NVM-Hosted Filesystems
DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming Capabilities
Can Large Audio Language Models Understand Audio Well? Speech, Scene and Events Understanding Benchmark for LALMs
AI Literacy for Legal AI Systems: A practical approach
Asynchronous Interference Channel: Degrees of Freedom and Interference Alignment
Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement
A Generative Adversarial Approach To ECG Synthesis And Denoising
All-optical image classification through unknown random diffusers using a single-pixel diffractive network
Physics-Informed Neural Networks for Power Systems
Hypergraph Topological Features for Autoencoder-Based Intrusion Detection for Cybersecurity Data
Better Lattice Quantizers Constructed from Complex Integers
Stochastic Geometry of Network of Randomly Distributed Moving Vehicles on a Highway
Understanding the Properties of the BitTorrent Overlay
Robust periodic stability implies uniform exponential stability for a random linear semiflow driven by a dynamical system with closing property
Vector Field Guidance for Convoy Monitoring Using Elliptical Orbits
An analysis of the effects of open science indicators on citations in the French Open Science Monitor
The condensation phase transition in the regular k-SAT model
Link-Intensive Alignment for Incomplete Knowledge Graphs
Learning to Schedule Heuristics in Branch-and-Bound
Macro pose-based non-invasive thermal comfort perception for energy efficiency
Invariant Polydiagonal Subspaces of Matrices and Constraint Programming
Learning DAGs and Root Causes from Time-Series Data
Efficient implementation of partitioned stiff exponential Runge-Kutta methods
Multi-Connectivity in 5G terrestrial-Satellite Networks: the 5G-ALLSTAR Solution
Spectral Neural Networks: Approximation Theory and Optimization Landscape
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum
Braess's Paradox in Epidemic Game: Better Condition Results in Less Payoff
Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM
Marker-Based Localisation System Using an Active PTZ Camera and CNN-Based Ellipse Detection
A Comparative Study of Hybrid Post-Quantum Cryptographic X.509 Certificate Schemes
Machine Learning Across Cultures: Modeling the Adoption of Financial Services for the Poor
Concept-based Recommendations for Internet Advertisement
Elusive extremal graphs
Opening the Black Box: Nowcasting Singapore's GDP Growth and its Explainability
Recursive function templates as a solution of linear algebra expressions in C++
TASTY: A Transformer based Approach to Space and Time complexity
From Narratives to Probabilistic Reasoning: Predicting and Interpreting Drivers' Hazardous Actions in Crashes Using Large Language Model