yusuke1997/dblp-id-title huggingface dataset:
Online Clustering of Known and Emerging Malware Families
Expert Insight-Based Modeling of Non-Kinetic Strategic Deterrence of Rare Earth Supply Disruption:A Simulation-Driven Systematic Framework
Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
Finding your MUSE: Mining Unexpected Solutions Engine
Service, Solidarity, and Self-Help: A Comparative Topic Modeling Analysis of Community Unionism in the Boot and Shoe Union and Unite Community
Sync-and-Burst: Force-Directed Graph Drawing with Uniform Force Magnitudes
The Universal 𝓁 p -Metric on Merge Trees
Toward Memory-Aided World Models: Benchmarking via Spatial Consistency
Optimization-based Trajectory Planning for Tethered Marsupial Robots
MNE: overparametrized neural evolution with applications to diffusion processes and sampling
EXTRA: Explaining Team Recommendation in Networks
Query Term Weighting based on Query Performance Prediction
Risk-Averse Reinforcement Learning: An Optimal Transport Perspective on Temporal Difference Learning
Asynchronous Local Computations in Distributed Bayesian Learning
Detecting out-of-context objects using contextual cues
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation
Could robots be regarded as humans in future?
A Spatial Data Model for Moving Object Databases
Open-Domain Event Graph Induction for Mitigating Framing Bias
Tabula: A Language to Model Spreadsheet Tables
QUIC and SATCOM
Volumetric Reconstruction From Partial Views for Task-Oriented Grasping
4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning
Grant-Free Opportunistic Uplink Transmission in Wireless-powered IoT: A Spatio-temporal Model
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Seizure Classification Using Parallel Genetic Naive Bayes Classifiers
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions
New Perfect Nonlinear Functions and Their Semifields
Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders
Context-Aware Video Instance Segmentation
TerDiT: Ternary Diffusion Models with Transformers
OpenGV 2.0: Motion prior-assisted calibration and SLAM with vehicle-mounted surround-view systems
Hardware-Friendly Static Quantization Method for Video Diffusion Transformers
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Finding a Multiple Follower Stackelberg Equilibrium: A Fully First-Order Method
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting
Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science
Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective
PARIS: Pruning Algorithm via the Representer theorem for Imbalanced Scenarios
Nonlinear Assimilation with Score-based Sequential Langevin Sampling
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance
Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks
Multiuser Energy Diversity in Energy Harvesting Wireless Communications
LWIP and Wi-Fi Boost Link Management
On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation
Bayesian Nonparametric Boolean Factor Models
Design of Outdoor Autonomous Moble Robot
Pronoun Translation in English-French Machine Translation: An Analysis of Error Types
Randomly Spread CDMA: Asymptotics via Statistical Physics
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation
Solving Bayesian inverse problems with diffusion priors and off-policy RL
Enforcing Radiality Constraints for DER-Aided Power Distribution Grid Reconfiguration
Robust Minimax Boosting with Performance Guarantees
A Corpus for Reasoning About Natural Language Grounded in Photographs
Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model
A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach
Group equations with abelian predicates
KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systems
The Cerebellum: New Computational Model that Reveals its Primary Function to Calculate Multibody Dynamics Conform to Lagrange-Euler Formulation
L 2 State Estimation with Guaranteed Convergence Speed in the Presence of Sporadic Measurements
Not There Yet: Evaluating Vision Language Models in Simulating the Visual Perception of People with Low Vision
Randomised preconditioning for the forcing formulation of weak constraint 4D-Var
A fast algorithm of the shear-compression damage model for the simulation of block caving
NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration
Semi-Supervised Multi-Task Learning for Interpretable Quality As- sessment of Fundus Images
Identifying modular flows on multilayer networks reveals highly overlapping organization in social systems
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
Stochastic Conditional Diffusion Models for Semantic Image Synthesis
Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society
Representational Capacity of Deep Neural Networks - A Computing Study
A comparative study of Bitcoin and Ripple cryptocurrencies trading using Deep Reinforcement Learning algorithms
Prior-guided Bayesian Optimization
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings
Mobile Application Review Summarization using Chain of Density Prompting
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection
Measuring Meaning on the World-Wide Web
QFAM: Mitigating QUIC Handshake Flooding Attacks Through Crypto Challenges
Concentration of the Frobenius norms of pseudoinverses
DeepCas: an End-to-end Predictor of Information Cascades
Self-Composing Neural Operators with Depth and Accuracy Scaling via Adaptive Train-and-Unroll Approach
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
Fully Automatic Deep Learning Pipeline for Whole Slide Image Quality Assessment
On Capacity Scaling in Arbitrary Wireless Networks
Simple Sublinear Algorithms for (Δ+1) Vertex Coloring via Asymmetric Palette Sparsification
Density based Spatial Clustering of Lines via Probabilistic Generation of Neighbourhood
A Novel Methodology for Autonomous Planetary Exploration Using Multi-Robot Teams
Data assimilation with agent-based models using Markov chain sampling
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
Parametric generation of conditional geological realizations using generative neural networks
Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
[[2, 10], [6, 6]]-equitable partitions of the 12-cube
Image-Based Virtual Try-on System With Clothing-Size Adjustment
The Dark Energy Survey Data Management System
DAOS for Extreme-scale Systems in Scientific Applications
Priority-Aware Private Matching Schemes for Proximity-Based Mobile Social Networks
DREAM Lite: Simplifying Robot Assisted Therapy for ASD
IOArbiter: Dynamic Provisioning of Backend Block Storage in the Cloud
Stochastic Natural Language Generation Using Dependency Information
Word Synchronization Challenge: A Benchmark for Word Association Responses for LLMs
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images
A Feature Engineering Approach for Business Impact-Oriented Failure Detection in Distributed Instant Payment Systems
LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
Impact of Coreference Resolution on Slot Filling
Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets
CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment
F-index of Total Transformation Graphs
Approaches to Interpreter Composition
Interpreting Blackbox Models via Model Extraction
Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis
Controlling Data Access Load in Distributed Systems
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
Exact maximum-likelihood method to detect patterns in real networks
Inference in Latent Force Models Using Optimal State Estimation
Graphical Methods for Defense Against False-data Injection Attacks on Power System State Estimation
Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork
RAC-drawability is ∃R-complete
Assurance of Frontier AI Built for National Security
Face processing emerges from object-trained convolutional neural networks
STAR-RIS Assisted Full-Duplex Communication Networks
Introducing Three New Benchmark Datasets for Hierarchical Text Classification
Shades of meaning: Uncovering the geometry of ambiguous word representations through contextualised language models
Does Learning Require Memorization? A Short Tale about a Long Tail
Universal Post-Training Backdoor Detection
Correspondence Learning via Linearly-invariant Embedding
Google Scholar as a data source for research assessment
Voronoi integration of the rendering equation
The Maximum Colorful Arborescence problem parameterized by the structure of its color hierarchy graph
Slepian concentration problem for polynomials on the unit Ball
Abductive Logical Reasoning on Knowledge Graphs
Biorthogonal greedy algorithms in convex optimization
Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach
Na Prática, qual IA Entende o Direito? Um Estudo Experimental com IAs Generalistas e uma IA Jurídica
Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial and Healthcare datasets
Anytime PSRO for Two-Player Zero-Sum Games
The Fisher-Rao Loss for Learning under Label Noise
Tit-for-Token: fair rewards for moving data in decentralized storage networks
EraserDiT: Fast Video Inpainting with Diffusion Transformer Model
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors
Two-Sample Testing in Reinforcement Learning
HiMaCon: Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
Instruction-Tuning Open-Weight Language Models for BPMN Model Generation
McLeish Distribution: Performance of Digital Communications over Additive White McLeish Noise (AWMN) Channels
A Cost-Effective, Scalable, and Portable IoT Data Infrastructure for Indoor Environment Sensing
Quantifying Generalisation in Imitation Learning
MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements
The boundaries of meaning: a case study in neural machine translation
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation
Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN
Investigating the potential of social network data for transport demand models
GGA-MG: Generative Genetic Algorithm for Music Generation
Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets
Complete Endomorphisms in Computer Vision
A Controller Recognizer Framework: How necessary is recognition for control?
Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment
Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving
OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
Accounting for the Uncertainty in the Evaluation of Percentile Ranks
Learning Majority-to-Minority Transformations with MMD and Triplet Loss for Imbalanced Classification
Attention Round for Post-Training Quantization
ReFill: Reinforcement Learning for Fill-In Minimization
Critically Damped Third-Order Langevin Dynamics
Robustness of Neurosymbolic Reasoners on First-Order Logic Problems
Informativity Conditions for Multiple Signals: Properties, Experimental Design, and Applications
COVID-19 impact on the international trade
Ancilla-free Quantum Adder with Sublinear Depth
Small Survey Event Detection
Financial Risk-Based Scheduling of Microgrids Accompanied by Surveying the Influence of the Demand Response Program
NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
Retention analysis of edited knowledge after fine-tuning
Lagrangian Relaxation for MAP Estimation in Graphical Models
Deep learning-based method for weather forecasting: A case study in Itoshima
Linear-Programming Decoding of Nonbinary Linear Codes
LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Caching in Heterogeneous Satellite Networks with Fountain Codes
Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems
A Theory of Factors Affecting Continuous Experimentation (FACE)
Exact Shapley Values for Local and Model-True Explanations of Decision Tree Ensembles
The Unreliability of Explanations in Few-Shot In-Context Learning
Synergistic Feature Fusion for Latent Lyrical Classification: A Gated Deep Learning Architecture
A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation
BlindSight: Harnessing Sparsity for Efficient VLMs
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Annealing approach to root-finding
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
The Complexity of Blocking All Solutions
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats
Complex Deep Learning Models for Denoising of Human Heart ECG signals
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach
ParaRev: Building a dataset for Scientific Paragraph Revision annotated with revision instruction
Effect of LOS/NLOS Propagation on Ultra-Dense Networks
CellTV - on the Benefit of TV Distribution over Cellular Networks A Case Study
Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
Language Model for Text Analytic in Cybersecurity
Multi-objective evolution for 3D RTS Micro
From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations
Progressive Depth Learning for Single Image Dehazing
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning
Achieving Covert Communication With A Probabilistic Jamming Strategy
Human Oversight of Artificial Intelligence and Technical Standardisation
Powering the Future: Innovations in Electric Vehicle Battery Recycling
A general locomotion control framework for serially connected multi-legged robots
NLG vs. Templates
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
Multi-Server Over-the-Air Federated Learning
On the simulation of multicomponent and multiphase compressible flows
Crossing numbers and combinatorial characterization of monotone drawings of $K_n$
Physics-Informed Neural Networks (PINNs) for Sound Field Predictions with Parameterized Sources and Impedance Boundaries
Person Re-identification via Structured Prediction
Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning
A Survey on Event-based Optical Marker Systems
Towards multi-instrument drum transcription
Similarity Measures, Author Cocitation Analysis, and Information Theory
Task Offloading and Resource Allocation for MEC-assisted Consumer Internet of Vehicle Systems
Quantum Internet Protocol Stack: a Comprehensive Survey
GraphIt - A High-Performance DSL for Graph Analytics
A Near-Optimal Algorithm for Computing Real Roots of Sparse Polynomials
Quantized convolutional neural networks through the lens of partial differential equations
WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
Collective decision-making under changing social environments among agents adapted to sparse connectivity
CGAlgebra: a Mathematica package for conformal geometric algebra
TIV.lib: an open-source library for the tonal description of musical audio
EPIC: Welfare Maximization under Economically Postulated Independent Cascade Model
Survey of charging scheduling, fleet management, and location planning of charging stations for electrified demand-responsive transport systems: methodologies and recent developments
Bandwidth Selectors on Semiparametric Bayesian Networks
Comments on "A Linear Time Algorithm for the Optimal Discrete IRS Beamforming"
Becoming the World's Highest Rated Chess Player
Economic Design of Memory-Type Control Charts: The Fallacy of the Formula Proposed by Lorenzen and Vance (1986)
Defenses in Adversarial Machine Learning: A Survey
A robust walking controller based on online step location and duration optimization for bipedal locomotion
An Efficient Graph Mining System for Large Patterns
A Security and Performance Driven Architecture for Cloud Data Centers
Robust Piecewise-Constant Smoothing: M-Smoother Revisited
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
Joint Learning of Frequency and Spatial Domains for Dense Predictions
High-dimensional density estimation with tensorizing flow
Gradient is All You Need: Gradient-Based Attention Fusion for Infrared Small Target Detection
BIONIX: A Wireless, Low-Cost Prosthetic Arm with Dual-Signal EEG and EMG Control
Improving N-gram Language Models with Pre-trained Deep Transformer
LLMind: Orchestrating AI and IoT with LLMs for Complex Task Execution
Indiscernibles and Wideness in Monadically Stable and Monadically NIP Classes
Variational Transfer Learning for Fine-grained Few-shot Visual Recognition
The Evolving Role of Programming and LLMs in the Development of Self-Driving Laboratories
High order approximations of the Cox-Ingersoll-Ross process semigroup using random grids
Nadine: An LLM-driven Intelligent Social Robot with Affective Capabilities and Human-like Memory
Measuring Changes in Regional Network Traffic Due to COVID-19 Stay-at-Home Measures
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Statistical Advantage of Softmax Attention: Insights from Single-Location Regression
Macro-embedding Compiler Intermediate Languages in Racket
MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
Simulation-based Probabilistic Risk Assessment
Effective Transfer Learning for Low-Resource Natural Language Understanding
HS 2 : Active Learning over Hypergraphs
An Energy Stable Nonlinear Incompressible Multi-Phase Flow Formulation
Template-Fitting Meets Deep Learning: Redshift Estimation Using Physics-Guided Neural Networks
Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation
Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts
AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection
Aesthetic Photo Collage with Deep Reinforcement Learning
Negative Imaginary Systems Theory in the Robust Control of Highly Resonant Flexible Structures
Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model
Orientation Optimization Based on Topological Derivatives in Cooperation with Multi-Material Topology Optimization Based on Extended Level Set Method
Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations
The Argument against Quantum Computers, the Quantum Laws of Nature, and Google's Supremacy Claims
Scientific X-ray
Continual Audio Deepfake Detection via Universal Adversarial Perturbation
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology
On the Necessity and Sufficiency of Discrete-Time O'Shea-Zames-Falb Multipliers
On the extremal values of the number of vertices with an interval spectrum on the set of proper edge colorings of the graph of the $n$-dimensional cube
SPDZCoder: Teaching LLMs to Synthesize Privacy Computing Code without Massive Training Data
Convergence of Eigenvector Continuation
A Comprehensive Survey on Legal Summarization: Challenges and Future Directions
HpC: A Calculus for Hybrid and Mobile Systems - Full Version
From Principles to Practice: A Systematic Study of LLM Serving on Multi-core NPUs
Modeling of New Energy Vehicles' Impact on Urban Ecology Focusing on Behavior
Global Error Bounds and Linear Convergence for Gradient-Based Algorithms for Trend Filtering and 𝓁 1 -Convex Clustering
License Plate Recognition Based On Multi-Angle View Model
SARS: A Resource Selection Algorithm for Autonomous Driving Tasks in Heterogeneous Mobile Edge Computing
AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression Recognition
QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining
LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation
VGR: Visual Grounded Reasoning
Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis
An Algebraical Model for Gray Level Images
Adversarial Images for Variational Autoencoders
Floquetifying the Colour Code
Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks
LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera
On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds
Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
A Possible Converter to Denoise the Images of Exoplanet Candidates through Machine Learning Techniques
Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs
Reuse, Temporal Dynamics, Interest Sharing, and Collaboration in Social Tagging Systems
Lessons from complexity theory for AI governance
Energy-Efficient Cooperative Caching in UAV Networks
Balancing polynomials, Fibonacci numbers and some new series for π