yusuke1997/dblp-id-title huggingface dataset:
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
Weakly SSM : On the Viability of Weakly Supervised Segmentations for Statistical Shape Modeling
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
P3Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction
Partial complementation of graphs
Service Discovery and Trust in Mobile Social Network in Proximity
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)
Optimal Stabilization using Lyapunov Measures
Robust Best-arm Identification in Linear Bandits
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truths
The Privacy-preserving Padding Problem: Non-negative Mechanisms for Conservative Answers with Differential Privacy
Bias amplification in experimental social networks is reduced by resampling
Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers
HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents
SpokesBiz - an Open Corpus of Conversational Polish
Massive Styles Transfer with Limited Labeled Data
On The Optimality of Myopic Sensing in Multi-State Channels
Projection-based model order reduction for prestressed concrete with an application to the standard section of a nuclear containment building
Rigidity of polytopes with edge length and coplanarity constraints
Physics-Aware Compilation for Parallel Quantum Circuit Execution on Neutral Atom Arrays
FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation
To Change Or To Stick: Unveiling The Consistency Of Cyber Criminal Signatures Through Statistical Analysis
Learning Grasp Configurations for Novel Objects from Prior Examples
Website visits can predict angler presence using machine learning
ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection
CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems
On the distribution of sensitivities of symmetric Boolean functions
Information transmission on hybrid networks
Minimal degenerate CSS quantum code with low cost circuit
FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction
deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques
Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga)
InfoInternet for Education in the Global South: A Study of Applications Enabled by Free Information-only Internet Access in Technologically Disadvantaged Areas (authors' version)
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
An Intelligent Infrastructure as a Foundation for Modern Science
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
Morphing Planar Graphs Drawings Efficiently
Projection-based model-order reduction for unstructured meshes with graph autoencoders
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation
Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems
IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference
The impact of data set similarity and diversity on transfer learning success in time series forecasting
Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
Polynomial parametrisation of the canonical iterates to the solution of -γg'= g -1
Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control
Algebraic Model Counting
FedScalar: A Communication efficient Federated Learning
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots
Regret Analysis of Dyadic Search
UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning
Attitude Control of an Inflatable Sailplane for Mars Exploration
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
Compositional inverses, complete mappings, orthogonal Latin squares and bent functions
Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning
Rate Control Adaptation for Heterogeneous Handovers
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments
UPMEM Unleashed: Software Secrets for Speed
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
Learning Multiple Categories on Deep Convolution Networks
Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning
SUBMASSIVE: Resolving Subclass Cycles in Very Large Knowledge Graphs
System Combination for Short Utterance Speaker Recognition
Self-Refining Language Model Anonymizers via Adversarial Distillation
Hierarchical learning control for autonomous robots inspired by central nervous system
An Unconditionally Stable Explicit Robin-Robin Partitioned Scheme for Fluid-Structure Interaction
Understanding users negative emotions and continuous usage intention in short video platforms
Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications
Linear Time Complexity Deep Fourier Scattering Network and Extension to Nonlinear Invariants
Compressive lensless endoscopy with partial speckle scanning
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning
On the Number of Vertices/Edges whose Deletion Preserves the Konig-Egervary Property
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations"
PLAME: Leveraging Pretrained Language Models to Generate Enhanced Protein Multiple Sequence Alignments
Implicit Style-Content Separation using B-LoRA
RIFT: A Scalable Methodology for LLM Accelerator Fault Assessment using Reinforcement Learning
Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification
Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence
DiffusionLight-Turbo: Accelerated Light Probes for Free via Single-Pass Chrome Ball Inpainting
Perfect linear complexity profile and Apwenian sequences
Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study
A Framework for Verification of Wasserstein Adversarial Robustness
Post-processing and improved error estimates of numerical methods for evolutionary systems
Detecting Statements in Text: A Domain-Agnostic Few-Shot Solution
Architecture for a multilingual Wikipedia
Explainable Rule Application via Structured Prompting: A Neural-Symbolic Approach
LEAD: Least-Action Dynamics for Min-Max Optimization
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning
A Scrollbar-based Visualization for Document Navigation
Human Factors in Software Reliability Engineering
Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μCT of Titanium Coated Ni wires using Deep Learning
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Modelisation of a rolling disk with Sympy
Turbulence Scaling from Deep Learning Diffusion Generative Models
Flash Multi-Head Feed-Forward Network
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
Exploring Multi-Reader Buffers and Channel Placement during Dataflow Network Mapping to Heterogeneous Many-core Systems
Propuesta de implementación de catálogos federados para espacios de datos sobre DataHub
IRIS: An Immersive Robot Interaction System
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging
DEGREE: Decomposition Based Explanation For Graph Neural Networks
A Note on Structural Controllability and Observability Indices
Minimum Dominating Set for a Point Set in $\IR^2$
Out-of-Sight Trajectories: Tracking, Fusion, and Prediction
Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow
A Conjecture Involving Positive Solutions of a Simple Scalar Linear Time-Varying State Equation with Delay
Upper Bounds on the Capacities of Non-Controllable Finite-State Channels with/without Feedback
A semi-automatic approach to study population dynamics based on population pyramids
Forecasting Probability Distributions of Financial Returns with Deep Neural Networks
Towards Assistive Feeding with a General-Purpose Mobile Manipulator
Neurally Plausible Model of Robot Reaching Inspired by Infant Motor Babbling
Subclose Families, Threshold Graphs, and the Weight Hierarchy of Grassmann and Schubert Codes
On The Complexity of Matching Cut for Graphs of Bounded Radius and H-Free Graphs
Knowledge Reasoning of Large Language Models Integrating Graph-Structured Information for Pest and Disease Control in Tobacco
Resonance Frequencies of a Slab with Subwavelength Slits: a Fourier-transformation Approach
Benchmarking results for the Newton-Anderson method
Confluence Criteria for Logically Constrained Rewrite Systems (Full Version)
Image-Adaptive GAN based Reconstruction
Differentially Private Matchings
Interacting Monoidal Structures with Applications in Computing
Ordinal Scale Traffic Congestion Classification with Multi-Modal Vision-Language and Motion Analysis
Transformation-Based Models of Video Sequences
Lightweight Long-Range Generative Adversarial Networks
Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
Towards fully integrated photonic backpropagation training and inference using on-chip nonlinear activation and gradient functions
QMe14S, A Comprehensive and Efficient Spectral Dataset for Small Organic Molecules
Optimal non-adaptive algorithm for edge estimation
Contextuality in multipartie pseudo-telepathy graph games
Energy Optimal Traversal Between Hover Waypoints for Lift+Cruise Electric Powered Aircraft
Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma
From Metadata to Storytelling: A Framework For 3D Cultural Heritage Visualization on RDF Data
Binary Speaker Embedding
Creating a Digital Ecosystem: Service Orientated Architectures with Distributed Evolutionary Computing
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks
Scheduling Coflows for Minimizing the Total Weighted Completion Time in Heterogeneous Parallel Networks
Selecting wavelengths for least squares range estimation
ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
Z-ordered Range Refinement for Multi-dimensional Range Queries
Federated Learning Framework in Fogbus2-based Edge Computing Environments
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
Proceedings Combined 26th International Workshop on Expressiveness in Concurrency and 16th Workshop on Structural Operational Semantics, EXPRESS/SOS 2019, Amsterdam, The Netherlands, 26th August 2019
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator
Image Classification on Small Datasets via Masked Feature Mixing
Super Quantum Mechanics
h-index and its alternative: A Review
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Allocative efficiency in public research funding: can bibliometrics help?
Bi-tuning of Pre-trained Representations
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
On skew-Hamiltonian Matrices and their Krylov-Lagrangian Subspaces
Bounds-Preserving Lax-Wendroff Discontinuous Galerkin Schemes for Quadrature-Based Moment-Closure Approximations of Kinetic Models
Dynamic Activation with Knowledge Distillation for Energy-Efficient Spiking NN Ensembles
Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
FineDeb: A Debiasing Framework for Language Models
Dynamic neighbourhood optimisation for task allocation using multi-agent
A Novel SOC Estimation for Hybrid Energy Pack using Deep Learning
Understanding How Value Neurons Shape the Generation of Specified Values in LLMs
Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE
Differentially Private Kernel Inducing Points (DP-KIP) for Privacy-preserving Data Distillation
A Computationally Efficient Vectorized Implementation of Localizing Gradient Damage Method in MATLAB
Lightlike Neuromanifolds, Occam's Razor and Deep Learning
Exploring UAV Networking from the Terrain Information Completeness Perspective: A Tutorial
End-to-End Speech Recognition From the Raw Waveform
Agile and versatile bipedal robot tracking control through reinforcement learning
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
Application of Deep Q Learning with Stimulation Results for Elevator Optimization
TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
Clustering by Nonparametric Smoothing
Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models
Compressing Chemistry Reveals Functional Groups
The cavity method: from exact solutions to algorithms
Open-Source Full-Duplex Conversational Datasets for Natural and Interactive Speech Synthesis
A Review on Score-based Generative Models for Audio Applications
The definition of a random sequence of qubits: from Noncommutative Algorithmic Probability Theory to Quantum Algorithmic Information Theory and back
Progressive Filtering Using Multiresolution Histograms for Query by Humming System
DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation
Development of a Computationally Efficient Fabric Model for Optimization of Gripper Trajectories in Automated Composite Draping
Designing Unimodular Codes via Quadratic Optimization is not Always Hard
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
Storing, preprocessing and analyzing Tweets: Finding the suitable NoSQL system
Properties of fairness measures in the context of varying class imbalance and protected group ratios
EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs
Numerical Analysis of Simultaneous Reconstruction of Initial Condition and Potential in Subdiffusion
Non-interactive zero-knowledge arguments for QMA, with preprocessing
Multitasking while Driving: How Drivers Self-Regulate their Interaction with In-Vehicle Touchscreens in Automated Driving
Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry
Improved Active Fire Detection using Operational U-Nets
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
Generalization error of min-norm interpolators in transfer learning
Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos
Extra connectivity measures of 3-ary n-cubes
Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value
Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control
Quantum Goethals-Preparata Codes
ServerFi: A New Symbiotic Relationship Between Games and Players
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control
Highly Efficient Memory Failure Prediction using Mcelog-based Data Mining and Machine Learning
Embedded Bayesian Network Classifiers
Co-community Structure in Multiple Evolving Networks
Compositional Generation for Long-Horizon Coupled PDEs
L-GTA: Latent Generative Modeling for Time Series Augmentation
ART: Automatic multi-step reasoning and tool-use for large language models
A new chaos-based watermarking algorithm
Computing and Comparing Semantics of Programs in Multi-valued Logics
Causal structure based root cause analysis of outliers
Which Model To Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Using a Cognitive Architecture to consider antiblackness in design and development of AI systems
Fusing Biomechanical and Spatio-Temporal Features for Fall Prediction: Characterizing and Mitigating the Simulation-to-Reality Gap
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations
FreezeML: Complete and Easy Type Inference for First-Class Polymorphism
Prespecified-time observer-based distributed control of battery energy storage systems
Dynamic Multiparty Authentication of Data Analytics Services within Cloud Environments
Key Reconciliation with Low-Density Parity-Check Codes for Long-Distance Quantum Cryptography
Deep 3D Mesh Watermarking with Self-Adaptive Robustness
A lowest-order locking-free conforming virtual element method based on the reduced integration technique for linear elasticity problems
Counterfactual Editing for Search Result Explanation
LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR
Life-Add: Lifetime Adjustable Design for WiFi Networks with Heterogeneous Energy Supplies
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks
Source Compression with a Quantum Helper
A Comperative Study of Watering Hole Attack Detection Using Supervised Neural Network
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Meta SOS - A Maude Based SOS Meta-Theory Framework
Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology
Few-Shot VLM-Based G-Code and HMI Verification in CNC Machining
The Security of WebRTC
Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts
From approximation error to optimality gap - Explaining the performance impact of opportunity cost approximation in integrated demand management and vehicle routing
Offline Learning for Planning: A Summary
A comparison of end-to-end models for long-form speech recognition
From Everyday to Existential - The ethics of shifting the boundaries of health and data with multimodal digital biomarkers
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication
Distributing Intelligence to the Edge and Beyond
A Survey of research in Deep Learning for Robotics for Undergraduate research interns
RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering
Experimental Evaluation of Deep Learning models for Marathi Text Classification
A Causal Framework to Unify Common Domain Generalization Approaches
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
Quasi-cyclic subcodes of cyclic codes
AnyPlace: Learning Generalized Object Placement for Robot Manipulation
Interactive Video Stylization Using Few-Shot Patch-Based Training
On the construction of multi-valued concurrent dynamic logic
Beyond BatchNorm: Towards a General Understanding of Normalization in Deep Learning
Reframing the Relationship in Out-of-Distribution Detection
On a class of optimization-based robust estimators
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction
Identifying influential nodes based on fuzzy local dimension in complex networks
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
Detecting Hateful Memes Using a Multimodal Deep Ensemble
Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
Self-paced Data Augmentation for Training Neural Networks
Will This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
Improving Blockchain Scalability with the Setchain Data-type
On Non-coherent MIMO Channels in the Wideband Regime: Capacity and Reliability
A Generalized Spectral Framework to Expain Neural Scaling and Compression Dynamics
Ordering groups and the Identity Problem
Resource Allocation for Coordinated Multipoint Networks with Wireless Information and Power Transfer
Communicating Likelihoods with Normalising Flows
Equivalence of pth moment stability between stochastic differential delay equations and their numerical methods
Deep Learning for Sensor-based Activity Recognition: A Survey
An independent evaluation of the Famine Early Warning Systems Network food security projections
Passive Head-Mounted Display Music-Listening EEG dataset
MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization
Social Sycophancy: A Broader Understanding of LLM Sycophancy
MASim: Multilingual Agent-Based Simulation for Social Science
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT
EC2MoE: Adaptive End-Cloud Pipeline Collaboration Enabling Scalable Mixture-of-Experts Inference
Applying r-spatiogram in object tracking for occlusion handling
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home
On computing fixpoints in well-structured regular model checking, with applications to lossy channel systems
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding
Deliberative Technology for Alignment
HoloDevice: Holographic Cross-Device Interactions for Remote Collaboration
A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees
Efficient Learning of Lattice Gauge Theories with Fermions
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling