yusuke1997/dblp-id-title huggingface dataset:
State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach
The Homogeneous Weight Partition and its Character-Theoretic Dual
Post-processing of the oblivious key in quantum private queries
Streaming Algorithms for Stochastic Multi-armed Bandits
Ahb Compatible DDR Sdram Controller Ip Core for Arm Based Soc
Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on top of Med-BERT
A Machine Learning Approach to Adaptive Covariance Localization
Google Landmark Recognition 2020 Competition Third Place Solution
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling
Open-Vocabulary SAM3D: Understand Any 3D Scene
FCA2VEC: Embedding Techniques for Formal Concept Analysis
A Comparison of Lattice-free Discriminative Training Criteria for Purely Sequence-Trained Neural Network Acoustic Models
Interplay of ISMS and AIMS in context of the EU AI Act
Large neighborhoods with implicit customer selection for vehicle routing problems with profits
Aggregating Conformal Prediction Sets via α-Allocation
Impact of the First Months of War on Routing and Latency in Ukraine
A Delaunay Refinement Algorithm for the Particle Finite Element Method applied to Free Surface Flows
Addressing Methodological Uncertainty in MCDM with a Systematic Pipeline Approach to Data Transformation Sensitivity Analysis
Log-Normal Multiplicative Dynamics for Stable Low-Precision Training of Large Networks
Thinking Adaptive: Towards a Behaviours Virtual Laboratory
Towards Optimal Convergence Rate in Decentralized Stochastic Training
Delocalization transition for the Google matrix
Multi-valued Color Representation Based on Frank t-norm Properties
Joint Spectrum Allocation and Structure Optimization in Green Powered Heterogeneous Cognitive Radio Networks
Empowering AIOps: Leveraging Large Language Models for IT Operations Management
Dynamic Sizing of Frequency Control Ancillary Service Requirements for a Philippine Grid
Smart, Deep Copy-Paste
ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates
Graph Neural Networks Including Sparse Interpretability
Hazy Pedestrian Trajectory Prediction via Physical Priors and Graph-Mamba
The Dearth of the Author in AI-Supported Writing
A Comparison of Hashing Schemes for Address Lookup in Computer Networks
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report
Robust State Estimation and Integrity Monitoring within Multi-Sensor Navigation System
Automatic Classification of Pathology Reports using TF-IDF Features
Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization
Impact of Non-orthogonal Multiple Access on the Offloading of Mobile Edge Computing
Enabling Basic Normative HRI in a Cognitive Robotic Architecture
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Fast Adaptation for Deep Learning-based Wireless Communications
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture
Deployment of software components: Application to Wireless System
A Policy-based Versioning SSD with Intel SGX
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments
Knowledge reduction of dynamic covering decision information systems with immigration of more objects
Encrypted Price-based Market Mechanism for Optimal Load Frequency Control
Physics-Informed Neural Networks for Modeling the Martian Induced Magnetosphere
Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition
Libra: An Economy driven Job Scheduling System for Clusters
AEON: A Method for Automatic Evaluation of NLP Test Cases
Geometric explanation of the rich-club phenomenon in complex networks
Evolving Paradigms in Task-Based Search and Learning: A Comparative Analysis of Traditional Search Engine with LLM-Enhanced Conversational Search System
On Occupancy Moments and Bloom Filter Efficiency
Structured Learning Modulo Theories
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Invariant preservation in machine learned PDE solvers via error correction
Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
CGM-Led Multimodal Tracking with Chatbot Support: An Autoethnography in Sub-Health
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance
From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback
TGCat, The Chandra Transmission Grating Catalog and Archive: Systems, Design and Accessibility
MASKS: A Multi-Artificial Neural Networks System's verification approach
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
The Effect of Exogenous Inputs and Defiant Agents on Opinion Dynamics with Local and Global Interactions
60 GHz Blockage Study Using Phased Arrays
Drones that Think on their Feet: Sudden Landing Decisions with Embodied AI
Shield Bash: Abusing Defensive Coherence State Retrieval to Break Timing Obfuscation
Benchmarking Large Language Model Volatility
Visual art inspired by the collective feeding behavior of sand-bubbler crabs
Topical Behavior Prediction from Massive Logs
A Survey of Qualitative Spatial and Temporal Calculi - Algebraic and Computational Properties
A Study of Student Learning Skills Using Fuzzy Relation Equations
Speaker and Language Change Detection using Wav2vec2 and Whisper
Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation
Recommending and Release Planning of User-Driven Functionality Deletion for Mobile Apps
Refereed Learning
Equilivest: A Robotic Vest to aid in Post-Stroke Dynamic Balance Rehabilitation
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
Timestamp Based Execution Control for C and Java Programs
Generating abbreviations using Google Books library
FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution
Sparse OFDM: A Compressive Sensing Approach to Asynchronous Neighbor Discovery
Design and implementation of a digital clock showing digits in Bangla font using microcontroller AT89C4051
GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition
Context-Specific Approximation in Probabilistic Inference
Driving in Real Life with Inverse Reinforcement Learning
Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation
Fault Tolerant Leader Election in Distributed Systems
Microscopic Analysis for Decoupling Principle of Linear Vector Channel
A post-processing technique for stabilizing the discontinuous pressure projection operator in marginally-resolved incompressible inviscid flow
Distributed Bayesian Detection with Byzantine Data
Real-time generative design of diverse, "truly" optimized structures with controllable structural complexities
AffinityNet: semi-supervised few-shot learning for disease type prediction
Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets
Challenges for Real-Time Toxicity Detection in Online Games
A mixed-dimensional model for direct current simulations in presence of a thin high-resistivity liner
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Ensembles of Deep Neural Networks for Action Recognition in Still Images
A Survey of Recent Advances in Texture Representation
Quad-Core RSA Processor with Countermeasure Against Power Analysis Attacks
Deep Learning Based Forecasting-Aided State Estimation in Active Distribution Networks
Hit-and-run mixing via localization schemes
Labelling as an unsupervised learning problem
Delay Tolerant Control for Autonomous Driving Using CDOB
Exponential sum approximations of finite completely monotonic functions
A Brief History of Context
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
StegColNet: Steganalysis based on an ensemble colorspace approach
L * LM: Learning Automata from Examples using Natural Language Oracles
On Supervised Feature Selection from High Dimensional Feature Spaces
A Wikipedia-based approach to profiling activities on social media
The Design of a Novel Prismatic Drive for a Three-DOF Parallel-Kinematics Machine
STEM image analysis based on deep learning: identification of vacancy defects and polymorphs of MoS 2
Dragonfly Algorithm and its Applications in Applied Science - Survey
Emergent weight morphologies in deep neural networks
Hot-Stuff the Linear, Optimal-Resilience, One-Message BFT Devil
Analytic Properties and Covariance Functions of a New Class of Generalized Gibbs Random Fields
Continuous Color Transfer
Linear Contact-Implicit Model-Predictive Control
Complex networks: A mixture of power-law and Weibull distributions
#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
Comparison of Transfer Learning based Additive Manufacturing Models via A Case Study
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks
Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae
Evolution of Automated Weakness Detection in Ethereum Bytecode: a Comprehensive Study
Robust and Efficient Penetration-Free Elastodynamics without Barriers
Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning
A New Single-Source Shortest Path Algorithm for Positive Weight Graph with O(m+kn) Time Complexity
A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task
On Large Ground Station Antennas as Potential Radar Targets for Biomass
Simulation Study on a New Peer Review Approach
EfficientLLM: Efficiency in Large Language Models
From Deception to Detection: The Dual Roles of Large Language Models in Fake News
How saccadic vision might help with theinterpretability of deep networks
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects
A general framework for Bitcoin analytics
Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach
Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment
On Nash-solvability of n-person graphical games under Markov's and a priori realizations
Semantic Facial Expression Editing using Autoencoded Flow
SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization
On the Capacity of Memoryless Finite-State Multiple Access Channels with Asymmetric Noisy State Information at the Encoders
Model-free prediction of noisy chaotic time series by deep learning
Decision Support for Increasing the Efficiency of Crowdsourced Software Development
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
Sommerfeld type integrals for discrete diffraction problems
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition
One-in-Two-Matching Problem is NP-complete
2-stack pushall sortable permutations
Wireless Surveillance of Two-Hop Communications
Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners
Quantifying Confounding Bias in Generative Art: A Case Study
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies
Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height and Cover from High-Resolution, Multi-Sensor Satellite Imagery
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients
Semi-Supervised Affective Meaning Lexicon Expansion Using Semantic and Distributed Word Representations
The Complexity of Guarding Terrains
FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep Learning Compilers
Estimation from Partially Sampled Distributed Traces
Exploiting Scene-specific Features for Object Goal Navigation
$\ell_1$ Regression using Lewis Weights Preconditioning
A Data-Efficient Approach for Long-Term Human Motion Prediction Using Maps of Dynamics
A Digital signature scheme based on Module-LWE and Module-SIS
Verifying Classification with Limited Disclosure
Keypoint Autoencoders: Learning Interest Points of Semantics
Pixelated VLC-backscattering for Self-charging Indoor IoT Devices
Optimization of the Context-Free Language Reachability Matrix-Based Algorithm
Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass
Dislocation cartography: Representations and unsupervised classification of dislocation networks with unique fingerprints
Approximations in Probabilistic Programs
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic
Signal Flow Graph Approach to Efficient DST I-IV Algorithms
Convergence and concentration properties of constant step-size SGD through Markov chains
MultiChor: Census Polymorphic Choreographic Programming with Multiply Located Values
On the Influence of Selection Operators on Performances in Cellular Genetic Algorithms
Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
Fixed-point iterative linear inverse solver with extended precision
On the Induced Matching Problem in Hamiltonian Bipartite Graphs
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
Standard protocol complexes for the immediate snapshot read/write model
ShadowDiffusion: Diffusion-based Shadow Removal using Classifier-driven Attention and Structure Preservation
Modeling the geographical studies with GeoGebra-software
Should one minimize the expected Bellman residual or maximize the mean value?
Testing $k$-Modal Distributions: Optimal Algorithms via Reductions
Smart Homes: Security Challenges and Privacy Concerns
There are no finite partial cubes of girth more than six and minimum degree at least three
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
Guardians of Anonymity: Exploring Tactics to Combat Cyber Threats in Onion Routing Environments
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning
Deep Learning Approach for Knee Point Detection on Noisy Data
Disentanglement enables cross-domain Hippocampus Segmentation
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments
Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent
Hierarchical Multiresolution Feature- and Prior-based Graphs for Classification
A Versatile Collage Visualization Technique
CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Behavioural Analytics: Mathematics of the Mind
A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
The Capacity Region of the Degraded Finite-State Broadcast Channel
Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging
Speed Limits for Deep Learning
D2D-LSTM based Prediction of the D2D Diffusion Path in Mobile Social Networks
Real-time Image-based 6-DOF Localization in Large-Scale Environments
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes
Stabilizing of a Class of Underactuated Euler Lagrange System Using an Approximate Model
The Internet, 1995-2000: Access, Civic Involvement, and Social Interaction
Advanced Space Mapping Technique Integrating a Shared Coarse Model for Multistate Tuning-Driven Multiphysics Optimization of Tunable Filters
Few-Shot Classification By Few-Iteration Meta-Learning
Independent Dominating Sets in Directed Graphs
Recurrent Neural Network Postfilters for Statistical Parametric Speech Synthesis
Design and Development of PainBit: a Portable Device for Supporting Patients with Chronic Pain to Log their Pain
Whose Narrative is it Anyway? A KV Cache Manipulation Attack
Sparse Recovery with Coherent Tight Frame via Analysis Dantzig Selector and Analysis LASSO
Toward an Integrated Framework for Automated Development and Optimization of Online Advertising Campaigns
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
MRI-to-CT Synthesis With Cranial Suture Segmentations Using A Variational Autoencoder Framework
A Linear-Time Algorithm for the Closest Vector Problem of Triangular Lattices
A Fast Path Loss Model for Wireless Channels Considering Environmental Factors
A Soft Processor Overlay with Tightly-coupled FPGA Accelerator
COMBINE: a novel drug discovery platform designed to capture insight and experience of users
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective
A Deep Learning Approach to Predict Hamburg Rutting Curve
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Decomposing information into copying versus transformation
Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising
Deep Active Inference for Autonomous Robot Navigation
Directional Antenna Based Scheduling Protocol for IoT Networks
Near-Optimal Performance Bounds for Orthogonal and Permutation Group Synchronization via Spectral Methods
Estimating Dynamic Soft Continuum Robot States From Boundaries
Robust topology optimisation of microstructural details without length scale separation - using a spectral coarse basis preconditioner
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Adaptive Learning a Hidden Hypergraph
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization
Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information
A Bayesian Agent-Based Framework for Argument Exchange Across Networks
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping
Any-to-3D Generation via Hybrid Diffusion Supervision
Discovery of Band Order Dependencies
Complexity Analysis of Precedence Terminating Infinite Graph Rewrite Systems
Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting
An Iterative Noncoherent Relay Receiver for the Two-way Relay Channel
Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?
Machine learning assisted exploration for affine Deligne-Lusztig varieties
On the loss of context-awareness in general instruction fine-tuning
Enhancing Floor Plan Recognition: A Hybrid Mix-Transformer and U-Net Approach for Precise Wall Segmentation
Personalised aesthetics with residual adapters
Evaluations at Work: Measuring the Capabilities of GenAI in Use
Polyhedral Control Design: Theory and Methods
A Theory of Universal Rate-Distortion-Classification Representations for Lossy Compression
Deep Literature Survey Automation with an Iterative Workflow
Bayesian Prior Learning via Neural Networks for Next-item Recommendation
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models
On Counting H-Intersecting Families and Graph Homomorphisms
START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids
Towards Sustainable Energy-Efficient Data Centers in Africa
SHaDe: Compact and Consistent Dynamic 3D Reconstruction via Tri-Plane Deformation and Latent Diffusion
Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series KMeans Clustering and Multi-Criteria Decision Making
Safe Sequential Path Planning of Multi-Vehicle Systems via Double-Obstacle Hamilton-Jacobi-Isaacs Variational Inequality
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Optimal Spectrum Partitioning and Licensing in Tiered Access under Stochastic Market Models
DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems
Genius Cliques: Mapping out the Nobel Network
DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks
Federated learning using a mixture of experts
On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study
PaiP: An Operational Aware Interactive Planner for Unknown Cabinet Environments
Temporal link prediction methods based on behavioral synchrony
Self-Motions of General 3-RPR Planar Parallel Robots
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation
Quantitative Hypocoercivity and Lifting of Classical and Quantum Dynamics
Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines
Automated Flight Test and System Identification for Rotary Wing Small Aerial Platform using Frequency Responses Analysis
ATDSR: Trusted On-Demand Routing Protocol based on Agents for Mobile Ad-hoc Networks
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset
Optimal Singular Perturbation-based Model Reduction for Heterogeneous Power Systems
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer
Distributed Adaptive Fault-Tolerant Control of Uncertain Multi-Agent Systems
Adaptive Nonlinear MPC for Trajectory Tracking of An Overactuated Tiltrotor Hexacopter
Interference alignment-based sum capacity bounds for random dense Gaussian interference networks
Towards Efficient VM Placement: A Two-Stage ACO-PSO Approach for Green Cloud Infrastructure
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance
Evaluating Neural Networks Architectures for Spring Reverb Modelling
Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
Decentralized Multi-Task Stochastic Optimization With Compressed Communications
Proposal of Analog In-Memory Computing with Magnified Tunnel Magnetoresistance Ratio and Universal STT-MRAM Cell
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
On the relationship between classes P and NP
Topic Detection and Summarization of User Reviews
Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications
Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders
Decision Tree Classification on Outsourced Data