yusuke1997/dblp-id-title huggingface dataset:
Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia
A Two-point Method for PTZ Camera Calibration in Sports
Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
Bounds on the Capacity of the Relay Channel with States at the Source
Design, construction and evaluation of emotional multimodal pathological speech database
Detecting Discussions of Technical Debt
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Verification of interlocking systems using statistical model checking
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
Complexity of linear circuits and geometry
On Galois duality, self-orthogonality, and dual-containment of matrix product codes
Ontology Service Center: a datahub for ontology application
Finite-PINN: A Physics-Informed Neural Network Architecture for Solving Solid Mechanics Problems with General Geometries
The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking
Quantum Programs as Kleisli Maps
Real-Time Human-Computer Interaction Based on Face and Hand Gesture Recognition
Image anomaly detection with capsule networks and imbalanced datasets
Controlling Complex Systems
HGMF: A Hierarchical Gaussian Mixture Framework for Scalable Tool Invocation within the Model Context Protocol
Experimental demonstration of Layered/Enhanced ACO-OFDM in short haul optical fiber transmission link
Average conditioning of underdetermined polynomial systems
Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks
Pursuing Open-Source Development of Predictive Algorithms: The Case of Criminal Sentencing Algorithms
Robust Joint Message and State Transmission under Arbitrarily Varying Jamming
Generating Highly Structured Test Inputs Leveraging Constraint-Guided Graph Refinement
Quality and Computation Time in Optimization Problems
When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift
Generating $N$-point spherical configurations with low mesh ratios using spherical area coordinates
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
The stationary focus of the Kiepert parabola over a special Poncelet triangle family
Fedra: Query Processing for SPARQL Federations with Divergence
A Proposal for a Revision of ISO Modula-2
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
Exploring Geometric Deep Learning For Precipitation Nowcasting
Entropy analysis of word-length series of natural language texts: Effects of text language and genre
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data
NurseLLM: The First Specialized Language Model for Nursing
Boolean learning under noise-perturbations in hardware neural networks
BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space
GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems
SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature
A Collocation Method in Spline Spaces for the Solution of Linear Fractional Dynamical Systems
Yet Another Watermark for Large Language Models
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Asynchronous Physical-layer Network Coding Scheme for Two-way OFDM Relay
Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations
An Approach for Self-Adaptive Path Loss Modeling for Accurate Positioning in Underground Environments
Using Semantic Web Services for AI-Based Research in Industry 4.0
Cloud to Ground Secured Computing: User Experiences on the Transition from Cloud-Based to Locally-Sited Hardware
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data
Deep Matching Autoencoders
Learning based Modelling of Throttleable Engine Dynamics for Lunar Landing Mission
Random matrix approach for primal-dual portfolio optimization problems
Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods
Warmstarting of Model-based Algorithm Configuration
Multi-agent Reinforcement Learning: A Comprehensive Survey
Orion: A Fully Homomorphic Encryption Compiler for Private Deep Neural Network Inference
Causal Reasoning for Algorithmic Fairness
Exploiting Hierarchy for Ranking-based Recommendation
What Vision-Language Models 'See' when they See Scenes
t-Exponential Triplet Embedding
The Online Resources Shared on Twitter About the #MeToo Movement: The Pareto Principle
Constant-Factor Approximation Algorithms for Socially Fair k-Clustering
Mitigating Timbre Leakage with Universal Semantic Mapping Residual Block for Voice Conversion
Noncommutative C * -algebra Net: Learning Neural Networks with Powerful Product Structure in C * -algebra
RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection
MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
Designing Robust Linear Output Feedback Controller based on CLF-CBF framework via Linear~Programming(LP-CLF-CBF)
Caveat (IoT) Emptor: Towards Transparency of IoT Device Presence (Full Version)
Bifurcation Patterns and Chaos Control in Discrete-Time Coral Reef Model
Approximation of the geodesic curvature and applications for spherical geometric subdivision schemes
Context-aware Telco Outdoor Localization
Perceptron like Algorithms for Online Learning to Rank
Dynamic Encryption-Based Cloud Security Model using Facial Image and Password-based Key Generation for Multimedia Data
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Multi-turn RNN-T for streaming recognition of multi-party speech
Register transducers are marble transducers
Layer Pruning for Accelerating Very Deep Neural Networks
On the constrained growth of complex critical systems
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps
The Calysto Scheme Project
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach
Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification
Stubborn Transaction Reduction (with Proofs)
Interpolation and Learning with Scale Dependent Kernels
Adversarial Formal Semantics of Attack Trees and Related Problems
PCB-ready breakout boards: Bridging the gap between electronics prototyping and production
Search-Based Motion Planning for Performance Autonomous Driving
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields
A Framework For Refining Text Classification and Object Recognition from Academic Articles
B5GRoam: A Zero Trust Framework for Secure and Efficient On-Chain B5G Roaming
A gradient-based and determinant-free framework for fully Bayesian Gaussian process regression
Structural Diagnosability Analysis of Switched and Modular Battery Packs
From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain
IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data
Spatially-Embedded Lens Visualization: A Design Space
Formalizing the presumption of independence
Lightweight Federated Learning over Wireless Edge Networks
Multi-robot Path Planning in Well-formed Infrastructures: Prioritized Planning vs. Prioritized Wait Adjustment (Preliminary Results)
Adaptive Semantic Communication for UAV/UGV Cooperative Path Planning
Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting
Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI
IoT Network Security: Requirements, Threats, and Countermeasures
Cyber-sensorium: An Extension of the Cyber Public Health Framework
Degrees of riskiness, falsifiability, and truthlikeness. A neo-Popperian account applicable to probabilistic theories
Generative to Agentic AI: Survey, Conceptualization, and Challenges
Adaptive Batch Size and Learning Rate Scheduler for Stochastic Gradient Descent Based on Minimization of Stochastic First-order Oracle Complexity
Continuous Time Channels with Interference
An efficient branch-and-bound algorithm for submodular function maximization
ImageMech: From image to particle spring network for mechanical characterization
Consistent Parameter Estimation for LASSO and Approximate Message Passing
Synfeal: A Data-Driven Simulator for End-to-End Camera Localization
RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation
HALF: Process Hollowing Analysis Framework for Binary Programs with the Assistance of Kernel Modules
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data
Large Language Models as User-Agents for Evaluating Task-Oriented-Dialogue Systems
Recent advances on inconsistency indices for pairwise comparisons - A commentary
The Role of Voice Persona in Expressive Communication: An Argument for Relevance in Speech Synthesis Design
X-Ray Sobolev Variational Auto-Encoders
EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning
Adversarial Pixel-Level Generation of Semantic Images
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Intent Resolution in LLMs
Studying the characteristics of scientific communities using individual-level bibliometrics: the case of Big Data research
Secure Wireless Internet of Things Communication using Virtual Private Networks
Construction of Gene and Species Trees from Sequence Data incl. Orthologs, Paralogs, and Xenologs
TorchBeast: A PyTorch Platform for Distributed RL
Dynamic data structures for parameterized string problems
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction
Generalized Degrees of Freedom of the Symmetric Cache-Aided MISO Broadcast Channel with Partial CSIT
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model
General Relaxation Methods for Initial-Value Problems with Application to Multistep Schemes
PES: Proactive Event Scheduling for Responsive and Energy-Efficient Mobile Web Computing
Invariant Spectral Hashing of Image Saliency Graph
Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training
Self-Driving Car Steering Angle Prediction Based on Image Recognition
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
The Human-GenAI Value Loop in Human-Centered Innovation: Beyond the Magical Narrative
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds
Impact of parallel code optimization on computer power consumption
The Medium Is Not the Message: Deconfounding Text Embeddings via Linear Concept Erasure
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification
Upper bounds for the Holevo quantity and their use
Statistical Learning and Inverse Problems: An Stochastic Gradient Approach
The Illusion of Rights based AI Regulation
laboratories for Data Communications and Computer Networks
Curriculum-Augmented GFlowNets For mRNA Sequence Generation
Switch-based Independent Antagonist Actuation with a Single Motor for a Soft Exosuit
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning Architecture
Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training
Assessing FAIRness of the Digital Shadow Reference Model
Cascade Centrality with heterogeneous nodal influence in a noisy environment
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Machine Learning with DBOS
BRIDGES: Bridging Graph Modality and Large Language Models within EDA Tasks
Multi-Attribute Networks and the Impact of Partial Information on Inference and Characterization
M 2 PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
A Lobster-inspired Hybrid Actuator With Rigid and Soft Components
Projectivity revisited
Fabrication of Switches on Polymer-Based by Hot Embossing
Magneto-Mechanical Transmitters for Ultra-Low Frequency Near-field Communication
TornadoQSim: An Open-source High-Performance and Modular Quantum Circuit Simulation Framework
Cognitive Techniques for Early Detection of Cybersecurity Events
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
Cognitive Access-Transmission Policies under a Primary ARQ process via Chain Decoding
Application of Kalman Filter in Stochastic Differential Equations
A Model Compression Method with Matrix Product Operators for Speech Enhancement
Globally Consistent RGB-D SLAM with 2D Gaussian Splatting
In Search for a Linear Byzantine Agreement
Bearing fault diagnosis under varying working condition based on domain adaptation
Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm
Low-rank signal subspace: parameterization, projection and signal estimation
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability
Don't go gaga with GIGO
AITEE - Agentic Tutor for Electrical Engineering
Attribute Artifacts Removal for Geometry-based Point Cloud Compression
Supervised Contrastive Learning for Recommendation
Early Transferability of Adversarial Examples in Deep Neural Networks
Gaussian-Chain Filters for Heavy-Tailed Noise with Application to Detecting Big Buyers and Big Sellers in Stock Market
Bounded Manifold Completion
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Output-feedback Synthesis Orbit Geometry: Quotient Manifolds and LQG Direct Policy Optimization
Subjective fairness: Fairness is in the eye of the beholder
Efficient learning methods for large-scale optimal inversion design
HealthBench: Evaluating Large Language Models Towards Improved Human Health
On the Challenges of Transforming UVL to IVML
Topological Interference Management with Decoded Message Passing
Conformal prediction set for time-series
A Mathematical Certification for Positivity Conditions in Neural Networks with Applications to Partial Monotonicity and Ethical AI
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation
Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming
The complete weight enumerator of the Reed-Solomon code with dimension two or three
Memory Planning for Deep Neural Networks
SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks
BiographyNet: Extracting Relations Between People and Events
Statistical Delay and Error-Rate Bounded QoS Provisioning for AoI-Driven 6G Satellite-Terrestrial Integrated Networks Using FBC
Region of Attraction Estimation Using Invariant Sets and Rational Lyapunov Functions
Entity Re-identification in Visual Storytelling via Contrastive Reinforcement Learning
Toward Training at ImageNet Scale with Differential Privacy
Analytic Federated Learning
SCoTER: Structured Chain-of-Thought Transfer for Enhanced Recommendation
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
HieraTok: Multi-Scale Visual Tokenizer Improves Image Reconstruction and Generation
Exact Leader Estimation: A New Approach for Distributed Differentiation
MoQE: Improve Quantization Model performance via Mixture of Quantization Experts
SELM: Siamese Extreme Learning Machine with Application to Face Biometrics
Negative Impact and Probable Management Policy of E-Waste in Bangladesh
A Large-scale Open Dataset for Bandit Algorithms
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
Comparing interpretation methods in mental state decoding analyses with deep learning models
Intelligent Tutors Beyond K-12: An Observational Study of Adult Learner Engagement and Academic Impact
General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree
Improving Prostate Gland Segmenting Using Transformer based Architectures
A Transparent Distributed Ledger-based Certificate Revocation Scheme for VANETs
Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication
Correction of Chromatic Aberration from a Single Image Using Keypoints
SepFormer: Coarse-to-fine Separator Regression Network for Table Structure Recognition
Beyond Per-Thread Lock Sets: Multi-Thread Critical Sections and Dynamic Deadlock Prediction
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data
Inner approximations of stochastic programs for data-driven stochastic barrier function design
Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models
"Sorry, Come Again?" Prompting - Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
Dependency-Aware Execution Mechanism in Hyperledger Fabric Architecture
Scale-free Networks Well Done
Mobility-Aware Decentralized Federated Learning with Joint Optimization of Local Iteration and Leader Selection for Vehicular Networks
Predictive control of wastewater treatment plants as energy-autonomous water resource recovery facilities
Learning Long-form Video Prior via Generative Pre-Training
Imagination at Inference: Synthesizing In-Hand Views for Robust Visuomotor Policy Inference
Structural Self-Supervised Objectives for Transformers
Mutual Information in Frequency and its Application to Measure Cross-Frequency Coupling in Epilepsy
The Influence of Network Structural Preference on Node Classification and Link Prediction
GuRE:Generative Query REwriter for Legal Passage Retrieval
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
Matrix recovery using Split Bregman
IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model
On origami-like quasi-mechanisms with an antiprismatic skeleton
The Complexity of Statistical Algorithms
VideoPure: Diffusion-based Adversarial Purification for Video Recognition
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
SenGen: Sentence Generating Neural Variational Topic Model
Lower Bounds for Non-Convex Stochastic Optimization
GRAINS: Proximity Sensing of Objects in Granular Materials
Simple Circuit Extensions for XOR in PTIME
Using Semantic Information for Defining and Detecting OOD Inputs
Foundations of Reinforcement Learning and Interactive Decision Making
Fine Tuning Named Entity Extraction Models for the Fantasy Domain
Material Experience: An Evaluation Model for Creative Materials Based on Visual-Tactile Sensory Properties
Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks
Heterogenous scaling in interevent time of on-line bookmarking
Your Latent Mask is Wrong: Pixel-Equivalent Latent Compositing for Diffusion Models
Scalable Information Inequalities for Uncertainty Quantification
Intrusions into Privacy in Video Chat Environments: Attacks and Countermeasures
CalibNet: Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks
Heterogeneous download times in bandwidth-homogeneous BitTorrent swarms
Comprehensive Reactive Receiver Modeling for Diffusive Molecular Communication Systems: Reversible Binding, Molecule Degradation, and Finite Number of Receptors
Unassisted Noise Reduction of Chemical Reaction Data Sets
An interpretable unsupervised representation learning for high precision measurement in particle physics
Representation Learning in Large Attributed Graphs
Data Science from 1963 to 2012
A Promise Theory Perspective on the Role of Intent in Group Dynamics
Effective Character-augmented Word Embedding for Machine Reading Comprehension
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead
Solving AI Foundational Model Latency with Telco Infrastructure
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
Decentralized Caching in Two-layer Networks: Algorithms and Limits
A Survey on Imitation Learning for Contact-Rich Tasks in Robotics
Synchronizing automata and principal eigenvectors of the underlying digraphs
Progressive Class-based Expansion Learning For Image Classification
The Missing Parts: Augmenting Fact Verification with Half-Truth Detection
What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks
Noise sensitivity of Boson Sampling and density of bosons
From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
Computation of the solution for the 2D acoustic pulse propagation
Hierarchical Multiple Kernel K-Means Algorithm Based on Sparse Connectivity
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving
Parameterized complexity of length-bounded cuts and multi-cuts
How can we naturally order and organize graph Laplacian eigenvectors?
SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation
Accurate MapReduce Algorithms for $k$-median and $k$-means in General Metric Spaces
Audible Networks: Deconstructing and Manipulating Sounds with Deep Non-Negative Autoencoders
Whisper Finetuning on Nepali Language
RE-GAINS & EnCHANT: Intelligent Tool Manipulation Systems For Enhanced Query Responses
Minimum Relative Entropy Inference for Normal and Monte Carlo Distributions
The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection
Solving fluid flow problems in space-time with multiscale stabilization: formulation and examples
Robust Features Face
MCVI-SANet: A lightweight semi-supervised model for LAI and SPAD estimation of winter wheat under vegetation index saturation
Beyond Ranked Lists: The SARAL Framework for Cross-Lingual Document Set Retrieval
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
Physics-Based Hybrid Machine Learning for Critical Heat Flux Prediction with Uncertainty Quantification
Dispenser Concept for Unmanned Aerial Vehicles (UAV, Drone, UAS)
The parameters of a family of linear codes
Self-supervised debiasing using low rank regularization
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
Evaluation of Energy-efficient VM Consolidation for Cloud Based Data Center - Revisited
Exploiting Semidefinite Relaxations in Constraint Programming
NMODE - Neuro-MODule Evolution
Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity
Phone Duration Modeling for Speaker Age Estimation in Children