yusuke1997/dblp-id-title huggingface dataset:
Cluster-Based Autoencoders for Volumetric Point Clouds
Towards thruster-assisted bipedal locomotion for enhanced efficiency and robustness
Power Allocation for Energy Harvesting Transmitter with Causal Information
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting
Branch-and-cut algorithms for colorful components problems
IYKYK: Using language models to decode extremist cryptolects
Repurposing GANs for One-shot Semantic Part Segmentation
Who is Funding Indian Research? A look at major funding sources acknowledged in Indian research papers
Memory capacity of two layer neural networks with smooth activations
Playing it Safe: Adversarial Robustness with an Abstain Option
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective
A Diversity-based Substation Cyber Defense Strategy utilizing Coloring Games
Challenges and opportunities in visual interpretation of Big Data
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
The Extremal GDoF Gain of Optimal versus Binary Power Control in K User Interference Networks Is Θ(√K)
Decentralized Multimedia Data Sharing in IoV: A Learning-based Equilibrium of Supply and Demand
A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring)
BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba
POSEIDON : Efficient Function Placement at the Edge using Deep Reinforcement Learning
Quantifying the Role of OpenFold Components in Protein Structure Prediction
Resilient Composite Control for Stability Enhancement in EV Integrated DC Microgrids
Comparison of ontology alignment algorithms across single matching task via the McNemar test
Convergence analysis of explicit stabilized integrators for parabolic semilinear stochastic PDEs
A prior regularized full waveform inversion using generative diffusion models
IfcWoD, Semantically Adapting IFC Model Relations into OWL Properties
Zebra-RFO - A Spectrum Repository for the Masses
Computation Rate Maximization for Wireless Powered Mobile-Edge Computing with Binary Computation Offloading
Combined shared/dedicated resource allocation for Device-to-Device Communication
Physics-informed dynamic mode decomposition (piDMD)
Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
A New Energy Efficient Routing Algorithm Based on a New Cost Function in Wireless Ad hoc Networks
Dependent Directed Wiring Diagrams for Composing Instantaneous Systems
TrajLens: Visual Analysis for Constructing Cell Developmental Trajectories in Cross-Sample Exploration
MMAPG: A Training-Free Framework for Multimodal Multi-hop Question Answering via Adaptive Planning Graphs
Learning To Explore With Predictive World Model Via Self-Supervised Learning
Resource Allocation and Sharing in URLLC for IoT Applications using Shareability Graphs
Security Implications of Large Language Model Code Assistants: A User Study
Error analysis for a Crouzeix-Raviart approximation of the variable exponent Dirichlet problem
Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity
Beyond Code Similarity: Benchmarking the Plausibility, Efficiency, and Complexity of LLM-Generated Smart Contracts
Modeling and Exploration of Gain Competition Attacks in Optical Network-on-Chip Architectures
Cryptographic Backdoor for Neural Networks: Boon and Bane
Neural Collapse in the Intermediate Hidden Layers of Classification Neural Networks
Internationalizing AI: Evolution and Impact of Distance Factors
A Survey on Deep Packet Inspection for Intrusion Detection Systems
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems
Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform
Camera Movement Classification in Historical Footage: A Comparative Study of Deep Video Models
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
Trajectory Tracking Control of Dual-PAM Soft Actuator with Hysteresis Compensator
Graph Interpolation via Fast Fused-Gromovization
Glottochronologic Retrognostic of Language System
SemGes: Semantics-aware Co-Speech Gesture Generation using Semantic Coherence and Relevance Learning
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
ARIEL: Adversarial Graph Contrastive Learning
The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022
Identification Codes to Identify Multiple Objects
Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine
Errors in Stereo Geometry Induce Distance Misperception
Ant Colony based Routing for Mobile Ad-Hoc Networks towards Improved Quality of Services
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
Modeling extreme events and intermittency in turbulent diffusion with a mean gradient
Estimating Causal Effects in Networks with Cluster-Based Bandits
A Risk-aware Bi-level Bidding Strategy for Virtual Power Plant with Power-to-Hydrogen System
Bending fluctuations in semiflexible, inextensible, slender filaments in Stokes flow: towards a spectral discretization
Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
Interactive inference: a multi-agent model of cooperative joint actions
Augmented Reality Assistive Technologies for Disabled Individuals
Redefining Proactivity for Information Seeking Dialogue
Modifying Optimal SAT-based Approach to Multi-agent Path-finding Problem to Suboptimal Variants
Research collaboration and productivity: is there correlation?
Predicting 3D representations for Dynamic Scenes
SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning
Networked Multiagent Reinforcement Learning for Peer-to-Peer Energy Trading
Echo State Networks for Reinforcement Learning
Approximate evolution operators for the Active Flux method
Data-Efficient Model Learning for Model Predictive Control with Jacobian-Regularized Dynamic Mode Decomposition
Analysis and Detection of Multilingual Hate Speech Using Transformer Based Deep Learning
Reliability Analysis of a Multi-State Truly-Threshold System Using a Multi-Valued Karnaugh Map
An Augmented Nonlinear Complex LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers
Data, Science and Society
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity
A Python Tool for Object-Centric Process Mining Comparison
Mean absorption estimation from room impulse responses using virtually supervised learning
Be In The Know: Connecting News Articles to Relevant Twitter Conversations
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
Identification of Forced Oscillation Sources in Wind Farms using E-SINDy
Identity-Disentangled Neural Deformation Model for Dynamic Meshes
Neighborhood preferences for minimal dominating sets enumeration
A General Katsuno-Mendelzon-Style Characterization of AGM Belief Base Revision for Arbitrary Monotonic Logics
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis)
From Readership to Usership and Education, Entertainment, Consumption to Valuation: Embodiment and Aesthetic Experience in Literature-based MR Presence
A Feature-aware SPH for Isotropic Unstructured Mesh Generation
Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation
How 5G (and concomitant technologies) will revolutionize healthcare
Knot Selection in Sparse Gaussian Processes
An Empirical Study of Security Practices for Microservices Systems
Situation Theory and Channel theory as a Unified Framework for Imperfect Information Management
Source Coding for a Simple Network with Receiver Side Information
When Can a Relay Reduce End-to-End Communication Delay?
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review
Reconstruction and Secrecy under Approximate Distance Queries
The Sample Complexity of Subspace Learning with Partial Information
Towards an Hybrid Hodgkin-Huxley Action Potential Generation Model
Maximum Entropy Snapshot Sampling for Reduced Basis Generation
DSL-based Design Space Exploration for Temporal and Spatial Parallelism of Custom Stream Computing
Attention in Diffusion Model: A Survey
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning
Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling
A Multi-Platform Study of Crowd Signals Associated with Successful Online Fundraising
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions
DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries
Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium
Improving EEG based continuous speech recognition using GAN
Automatic Discovery of Interpretable Planning Strategies
Drawing the boundaries between Blockchain and Blockchain-like systems: A Comprehensive Survey on Distributed Ledger Technologies
DreamGaussian4D: Generative 4D Gaussian Splatting
Approximation Algorithms for K-Modes Clustering
Autonomous Racing with AutoRally Vehicles and Differential Games
Development of an isotropic segmentation model for medial temporal lobe subregions on anisotropic MRI atlas using implicit neural representation
Smoother Position-Drift Compensation for Time Domain Passivity Approach based Teleoperation
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
Openness in AI and downstream governance: A global value chain approach
Classification of 8-divisible binary linear codes with minimum distance 24
A Symbolic Summation Approach to Find Optimal Nested Sum Representations
Heuristic Rank Selection with Progressively Searching Tensor Ring Network
An overview of condensation phenomenon in deep learning
Low complexity convergence rate bounds for the synchronous gossip subclass of push-sum algorithms
A Framework for Constraint-Based Deployment and Autonomic Management of Distributed Applications (Extended Abstract)
New Comparative Study Between DES, 3DES and AES within Nine Factors
A Review of Intelligent Practices for Irrigation Prediction
A Logic Programming Playground for Lambda Terms, Combinators, Types and Tree-based Arithmetic Computations
LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
Flora robotica - An Architectural System Combining Living Natural Plants and Distributed Robots
Threat Modeling for Enhancing Security of IoT Audio Classification Devices under a Secure Protocols Framework
Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability
Using Transfer Learning for Image-Based Cassava Disease Detection
Knowledge Graph Assisted Automatic Sports News Writing
Federated Face Recognition
Ensembles of Realistic Power Distribution Networks
Privacy-Preserving News Recommendation Model Training via Federated Learning
The Tri-Hybrid MIMO Architecture
Metric Search for Rank List Compatibility Matching with Applications
On the Purity of Resolutions of Stanley-Reisner Rings Associated to Reed-Muller Codes
CIMS: Correction-Interpolation Method for Smoke Simulation
Raspberry Pi Pico as a Radio Transmitter
Circuit-Aware Reward Training: A Mechanistic Framework for Longtail Robustness in RLHF
Decentralized Learning Dynamics in the Gossip Model
Introducing Practicable Learning Analytics
Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
A Randomized Rounding Algorithm for the Asymmetric Traveling Salesman Problem
Universal truncation error upper bounds in sampling restoration
Generalization in Machine Learning via Analytical Learning Theory
Differentially Private Label Protection in Split Learning
Learning to Fuse: Modality-Aware Adaptive Scheduling for Robust Multimodal Foundation Models
Millimeter-Wave Beamforming with Continuous Coverage for Mobile Interactive Virtual Reality
Large Language Models for Solving Economic Dispatch Problem
A Comparison Between Data Mining Prediction Algorithms for Fault Detection(Case study: Ahanpishegan co.)
ChineseErrorCorrector3-4B: State-of-the-Art Chinese Spelling and Grammar Corrector
Data Transfer and Network Services management for Domain Science Workflows
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection
Anomaly Detection with Tensor Networks
Average-case Acceleration Through Spectral Density Estimation
Anticipation of Method Execution in Mixed Consistency Systems - Technical Report
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
On the complexity of the Rank Syndrome Decoding problem
Vehicular Inter-Networking via Named Data
Reasoning about Divergences for Relaxations of Differential Privacy
GenOSIL: Generalized Optimal and Safe Robot Control using Parameter-Conditioned Imitation Learning
Dynamic interventions with limited knowledge in network games
Secure Degrees of Freedom of One-hop Wireless Networks with No Eavesdropper CSIT
Single Image Dehazing through Improved Atmospheric Light Estimation
Understanding and Harnessing Sparsity in Unified Multimodal Models
ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities
GARField: Addressing the visual Sim-to-Real gap in garment manipulation with mesh-attached radiance fields
Traffic Management Strategies for Multi-Robotic Rigid Payload Transport Systems
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection
Zero-Shot Co-salient Object Detection Framework
Broadcast Strategies with Probabilistic Delivery Guarantee in Multi-Channel Multi-Interface Wireless Mesh Networks
Bio-inspired Requirements Variability Modeling with Use Case
Multi-cell Massive MIMO Beamforming in Assuring QoS for Large Numbers of Users
The edit distance for Reeb graphs of surfaces
Domain2Vec: Deep Domain Generalization
A Fast and Accurate Performance Analysis of Beaconless IEEE 802.15.4 Multi-Hop Networks
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
AMALGAM: A Matching Approach to fairfy tabuLar data with knowledGe grAph Model
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
Analysis of Voltage Stability in Terms of Interactions of Q(U)-Characteristic Control in Distribution Grids
Boosting Multimodal Learning via Disentangled Gradient Learning
Integral representations of shallow neural network with Rectified Power Unit activation function
The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera
MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling
Probabilistic Framework For Loss Distribution Of Smart Contract Risk
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics
Transfer Learning for High-Precision Trajectory Tracking Through L 1 Adaptive Feedback and Iterative Learning
GENESIS: A Generative Model of Episodic-Semantic Interaction
Metric Elicitation; Moving from Theory to Practice
Can representation learning for multimodal image registration be improved by supervision of intermediate layers?
Latent Space based Memory Replay for Continual Learning in Artificial Neural Networks
Identifying tax evasion in Mexico with tools from network science and machine learning
Semi-Supervised Laplacian Learning on Stiefel Manifolds
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes
Celeritas: Fast Optimizer for Large Dataflow Graphs
Nemotron-4 340B Technical Report
Optimal Mixing Time for the Ising Model in the Uniqueness Regime
Fast and Scalable Analysis of Massive Social Graphs
Asymmetric Random Projections
Exact Non-Oblivious Performance of Rademacher Random Embeddings
CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities
Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
Differentially Private Adversarial Robustness Through Randomized Perturbations
Improved Multi-step FCS-MPCC with Disturbance Compensation for PMSM Drives - Methods and Experimental Validation
Bounds on Binary Locally Repairable Codes Tolerating Multiple Erasures
On Democratic Fairness for Groups of Agents
Visual Attention Network for Low Dose CT
A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning
ViT2Hash: Unsupervised Information-Preserving Hashing
Network Structure Explains the Impact of Attitudes on Voting Decisions
Differentially-Private "Draw and Discard" Machine Learning
Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
Better Write Amplification for Streaming Data Processing
Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
An Improved Image Mining Technique For Brain Tumour Classification Using Efficient Classifier
A History of Meta-gradient: Gradient Methods for Meta-learning
A Fast Compensated Algorithm for Computing Givens Rotations
Instance segmentation with the number of clusters incorporated in embedding learning
Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project
Information Compression and Performance Evaluation of Tic-Tac-Toe's Evaluation Function Using Singular Value Decomposition
Efficient implementations of minimum-cost flow algorithms
Recommending Extract Method Refactoring Based on Confidence of Predicted Method Name
Vision-and-Language Navigation with Analogical Textual Descriptions in LLMs
ID2image: Leakage of non-ID information into face descriptors and inversion from descriptors to images
Controlled Descent Training
Multi-UAV Uniform Sweep Coverage in Unknown Environments: A Mergeable Nervous System (MNS)-Based Random Exploration
Non-Binary Polar Codes using Reed-Solomon Codes and Algebraic Geometry Codes
Robust Saliency Detection via Fusing Foreground and Background Priors
'Too much alignment; not enough culture': Re-balancing cultural alignment practices in LLMs
Using Information Flow to estimate interference between developers same method contributions
Energy-Aware Packet Schedulers for Battery-Less LoRaWAN Nodes
On local structures of cubicity 2 graphs
TSEB: More Efficient Thompson Sampling for Policy Learning
A Word Order Synchronization Metric for Evaluating Simultaneous Interpretation and Translation
Population Based Training of Neural Networks
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis
How Much Rate Splitting Is Required for a Random Coding Scheme? A new Achievable Rate Region for the Broadcast Channel with Cognitive Relays
Efficient Wi-Fi Sensing for IoT Forensics with Lossy Compression of CSI Data
Mitigating Omitted Variable Bias in Empirical Software Engineering
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi
Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
Neural Offset Min-Sum Decoding
Modified Trial Division Algorithm Using KNJ-Factorization Method To Factorize RSA Public Key Encryption
Rigorous design of tracers: an experiment for constraint logic programming
Designing and Implementing Robust Test Automation Frameworks using Cucumber BDD and Java
Multi-scale Spectrum Sensing in Small-Cell mm-Wave Cognitive Wireless Networks
Depth Anything in 360 ° : Towards Scale Invariance in the Wild
Resource Allocation for Power Minimization in the Downlink of THP-based Spatial Multiplexing MIMO-OFDMA Systems
Phase-Modulated Radar Waveform Classification Using Deep Networks
Fast Lidar Clustering by Density and Connectivity
Learning Steerable Clarification Policies with Collaborative Self-play
A measure of statistical complexity based on predictive information
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction
Feature Statistics with Uncertainty Help Adversarial Robustness
Posted Pricing and Competition in Large Markets
PHast - Perfect Hashing with fast evaluation
BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions
SPIKE-RL: Video-LLMs meet Bayesian Surprise
Tractable Representation Learning with Probabilistic Circuits
Hierarchical non-linear control for multi-rotor asymptotic stabilization based on zero-moment direction
A generalization of zero-divisor graphs
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
PRISM: Fine-Grained Paper-to-Paper Retrieval with Multi-Aspect-Aware Query Optimization
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids
DBAW-PIKAN: Dynamic Balance Adaptive Weight Kolmogorov-Arnold Neural Network for Solving Partial Differential Equations
Spatial-Temporal Cluster Relations - A Foundation for Trajectory Cluster Lifetime Analysis
PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
Exploring Flow in Real-World Knowledge Work Using Discreet cEEGrid Sensors
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence
Dialectica Petri nets
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
Computational linguistic assessment of textbook and online learning media by means of threshold concepts in business education
Mathematics and Coding are Universal AI Benchmarks
Tracking Extrema in Dynamic Environment using Multi-Swarm Cellular PSO with Local Search
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis
Flexible Time-Triggered Sampling in Smart Sensor-Based Wireless Control Systems
The Effects of Using Taxi-Hailing Application on Driving Performance
Complex Wavelet SSIM based Image Data Augmentation
Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation
Generalized informational functionals and new monotone measures of statistical complexity
Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
SuperTran: Reference Based Video Transformer for Enhancing Low Bitrate Streams in Real Time