yusuke1997/dblp-id-title huggingface dataset:
Noncontinous additive entropies of partitions
Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection
Increasing Flips per Second and Speed of p-Computers by Using Dilute Magnetic Semiconductors to Implement Binary Stochastic Neurons
A Tighter Lower Bound For Fourier Transform in the Well Conditioned Model
An accurate and robust level-set formulation for multiple junction kinetics
AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languages
An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images
Safety-Critical Control via Recurrent Tracking Functions
On Post-Quantum Cryptography Authentication for Quantum Key Distribution
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
The Auth Shim: A Lightweight Architectural Pattern for Integrating Enterprise SSO with Standalone Open-Source Applications
Practical tradeoffs between memory, compute, and performance in learned optimizers
Les claviers, un modèle de calcul
GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
Neural tuning size is a key factor underlying holistic face processing
Matrix-Free Jacobian Chaining
High-Probability Bounds For Heterogeneous Local Differential Privacy
Ethical Considerations when Employing Fake Identities in OSN for Research
Summing the sum of digits
Classical Hardness of Learning with Errors
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics
On the Properties of Error Patterns in the Constant Lee Weight Channel
TDIP: Tunable Deep Image Processing, a Real Time Melt Pool Monitoring Solution
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations
Secrecy Rate of Distributed Cooperative MIMO in the Presence of Multi-Antenna Eavesdropper
Oseba: Optimization for Selective Bulk Analysis in Big Data Processing
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
From Co-Design to Metacognitive Laziness: Evaluating Generative AI in Vocational Education
Hand Gestures Recognition in Videos Taken with Lensless Camera
A Theory of Cross-Validation Error
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
Imitation in the Imitation Game
Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows
On orthogonal symmetric chain decompositions
Stochastic resonance neurons in artificial neural networks
Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment
Towards an automated approach for bug fix pattern detection
Inference Latency Prediction at the Edge
Modeling Uncertain Feature Representation for Domain Generalization
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations
Wireless Secrecy in Large-Scale Networks
Online Distribution Learning with Local Private Constraints
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
Enhancing Loop-Invariant Synthesis via Reinforcement Learning
Application-driven automatic subgrammar extraction
Towards a Critical Race Methodology in Algorithmic Fairness
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
Terrain characterisation for online adaptability of automated sonar processing: Lessons learnt from operationally applying ATR to sidescan sonar in MCM applications
Super-resolution method using sparse regularization for point-spread function recovery
Competitive Revenue Extraction from Time-Discounted Transactions in the Semi-Myopic Regime
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception
Enabling Cross-Event Optimization in Discrete-Event Simulation Through Compile-Time Event Batching
Streaming Networks: Increase Noise Robustness and Filter Diversity via Hard-wired and Input-induced Sparsity
Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data
Communication versus Computation: Duality for multiple access channels and source coding
RAGBoost: Efficient Retrieval-Augmented Generation with Accuracy-Preserving Context Reuse
A Non-Null Annotation Inferencer for Java Bytecode
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem
Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos
KBNet: Kernel Basis Network for Image Restoration
Time and Memory Trade-off of KV-Cache Compression in Tensor Transformer Decoding
Data-Efficient Extremum-Seeking Control Using Kernel-Based Function Approximation
Robust 3D tracking control of an underactuated autonomous airship
Estimating Forces of Robotic Pouring Using a LSTM RNN
Efficient, Interpretable Atomistic Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Prediction
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
Register and CLS tokens yield a decoupling of local and global features in large ViTs
A fast branching algorithm for unknot recognition with experimental polynomial-time behaviour
Green WSN- Optimization of Energy Use Through Reduction in Communication Workload
Over-the-Air FEEL with Integrated Sensing: Joint Scheduling and Beamforming Design
Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?
A Note on the NP-Hardness of PARTITION Via First-Order Projections
Visual-Linguistic Causal Intervention for Radiology Report Generation
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning
Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning
Proofs for an Abstraction of Continuous Dynamical Systems Utilizing Lyapunov Functions
Distributed optimization for nonrigid nano-tomography
No Calm in The Storm: Investigating QAnon Website Relationships
Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench
Role of Morphogenetic Competency on Evolution
Bilevel Learning Model Towards Industrial Scheduling
Information set decoding of Lee-metric codes over finite rings
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Magneto-inductive Passive Relaying in Arbitrarily Arranged Networks
Community Moderation and the New Epistemology of Fact Checking on Social Media
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
Publication Trends in Astronomy: The Lone Author
Attention-based Open RAN Slice Management using Deep Reinforcement Learning
Towards Better Health Conversations: The Benefits of Context-seeking
Closed-Form Optimal Impulsive Control of Spacecraft Relative Motion Using Reachable Set Theory
Traffic Hotspot localization in 3G and 4G wireless networks using OMC metrics
Persistent synchronization of heterogeneous networks with time-dependent linear diffusive coupling
Adversarial Pursuits in Cislunar Space
Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons
RadioDiff-3D: A 3D⨉3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans
Numerical Testing of a New Positivity-Preserving Interpolation Algorithm
The evolution of cooperation by social exclusion
Canonical Correlation Analysis for Analyzing Sequences of Medical Billing Codes
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
Geometric group testing
Band Limited Signals Observed Over Finite Spatial and Temporal Windows: An Upper Bound to Signal Degrees of Freedom
Generalized BackPropagation, Étude De Cas: Orthogonality
Temporal Concept Drift and Alignment: An empirical approach to comparing Knowledge Organization Systems over time
Connectivity and Equilibrium in Random Games
Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem
New Pivot Selection for Sparse Symmetric Indefinite Factorization
On the dynamics of social conflicts: looking for the Black Swan
Matrix equation representation of convolution equation and its unique solvability
Extreme Compression of Adaptive Neural Images
Passing the Limits of Pure Local Search for the Maximum Weight Independent Set Problem in d-Claw Free Graphs
Lexical Simplification Benchmarks for English, Portuguese, and Spanish
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning
Towards an Efficient Shifted Cholesky QR for Applications in Model Order Reduction using pyMOR
ArticulatePro: A Comparative Study on a Proactive and Non-Proactive Assistant in a Climate Data Exploration Task
Robust Multimodal Learning via Entropy-Gated Contrastive Fusion
Computing n-Gram Statistics in MapReduce
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher
A numerical method for computing the Jordan Canonical Form
A Categorical Unification for Multi-Model Data: Part II Categorical Algebra and Calculus
Towards a Graph-Based Approach for Web Services Composition
Approximating Minimum Steiner Point Trees in Minkowski Planes
MoCaNA, un agent de n{é}gociation automatique utilisant la recherche arborescente de Monte-Carlo
Spacecraft Safe Robust Control Using Implicit Neural Representation for Geometrically Complex Targets in Proximity Operations
Named Entity Recognition in Context
UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference Optimization
Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers
Delaunay Triangulation on Skeleton of Flowers for Classification
Nash, Conley, and Computation: Impossibility and Incompleteness in Game Dynamics
Hypergraph patterns and collaboration structure
MoE-SpeQ: Speculative Quantized Decoding with Proactive Expert Prefetching and Offloading for Mixture-of-Experts
Query-free Clothing Retrieval via Implicit Relevance Feedback
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model
Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
Neural PDE Solvers with Physics Constraints: A Comparative Study of PINNs, DRM, and WANs
Investigating the Robustness of Deductive Reasoning with Large Language Models
Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications
Reinforcement Learning for Target Zone Blood Glucose Control
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
Measuring Voice UX Quantitatively: A Rapid Review
Structure Mapping for Transferability of Causal Models
Robust Hypothesis Testing with Moment Constrained Uncertainty Sets
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery
SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs
Robust Machine Learning via Privacy/Rate-Distortion Theory
Deciding the existence of minority terms
Finite Time Analysis of Optimal Adaptive Policies for Linear-Quadratic Systems
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models
From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Metric Temporal Logic for Ontology-Based Data Access over Log Data
DaMuEL: A Large Multilingual Dataset for Entity Linking
Robust block preconditioners for poroelasticity
An optimal problem for relative entropy
Bachelor's thesis on generative probabilistic programming (in Russian language, June 2014)
Comparing information content of representation spaces for disentanglement with VAE ensembles
Global Optimization of Gaussian processes
Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks
Screen Matters: Cognitive and Behavioral Divergence Between Smartphone-Native and Computer-Native Youth
A simple method for improving the accuracy of Chung-Lu random graph generation
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network
X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment
Cooking Object's State Identification Without Using Pretrained Model
End-to-End Vision Tokenizer Tuning
Knowledge Transfer between Datasets for Learning-based Tissue Microstructure Estimation
When does Active Learning Work?
Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
Social Influence in Agile Requirements Engineering
Approximate implicitization using linear algebra
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
Optimal sequential decision making with probabilistic digital twins
Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
Stochastic generative methods for stable and accurate closure modeling of chaotic dynamical systems
A Bias-Variance-Privacy Trilemma for Statistical Estimation
Behavioral Systel Level Power Consumption Modeling of Mobile Video Streaming applications
Implementing Online Reinforcement Learning with Temporal Neural Networks
Back to the Future: The Role of Past and Future Context Predictability in Incremental Language Production
FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension
Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factor
LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators
Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising
PC-NCLaws: Physics-Embedded Conditional Neural Constitutive Laws for Elastoplastic Materials
Arc length based WENO scheme for Hamilton-Jacobi Equations
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
A computational model of affects
Sign Language Recognition Using Temporal Classification
Generalized Kantorovich-Rubinstein Duality beyond Hausdorff and Kantorovich
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
A Monte-Carlo ab-initio algorithm for the multiscale simulation of compressible multiphase flows
MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics
Poisoned at Scale: A Scalable Audit Uncovers Hidden Scam Endpoints in Production LLMs
Deformable One-shot Face Stylization via DINO Semantic Guidance
BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack
Image-based remapping of spatially-varying material appearance
Quantum feedback control with a transformer neural network architecture
Acceptance of e-procurement in organisations
Tunable Wavelet Unit based Convolutional Neural Network in Optical Coherence Tomography Analysis Enhancement for Classifying Type of Epiretinal Membrane Surgery
DOMINO: Domain-aware Loss for Deep Learning Calibration
On the Generalization Properties of Differential Privacy
"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)
Measuring Image-Relation Alignment: Reference-Free Evaluation of VLMs and Synthetic Pre-training for Open-Vocabulary Scene Graph Generation
Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption
Cutting Medusa's Path - Tackling Kill-Chains with Quantum Computing
Reconstruction of acoustic sources from multi-frequency phaseless far-field data
Multiple contractions of permutation arrays
A Type-Safe Model of Adaptive Object Groups
Sifer: Overcoming simplicity bias in deep networks using a feature sieve
Learning Autocomplete Systems as a Communication Game
Quantifying Cross-Modality Memorization in Vision-Language Models
Distributed Estimation and Learning over Heterogeneous Networks
Broad Neural Network for Change Detection in Aerial Images
A new Input Convex Neural Network with application to options pricing
The Structure of Z_2[u]Z_2[u, v]-additive Codes
Battery Placement on Performance of VAR Controls
AvatarMakeup: Realistic Makeup Transfer for 3D Animatable Head Avatars
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting
Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry
Linear MSRD codes with Various Matrix Sizes and Unrestricted Lengths
An Algebraic Approach to Learning and Grounding
Some remarks regarding Quaternions and Octonions
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Honey: A dataflow programming language for the processing, featurization and analysis of multivariate, asynchronous and non-uniformly sampled scalar symbolic time sequences
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
RankDVQA-mini: Knowledge Distillation-Driven Deep Video Quality Assessment
Performance bounds for priority-based stochastic coflow scheduling
TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
Transfer Learning and Organic Computing for Autonomous Vehicles
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
Identifying gender bias in blockbuster movies through the lens of machine learning
Logical Inferentialism & Attacks on Classical Logic
Certified ML Object Detection for Surveillance Missions
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
Deterministic-Statistical Approach for an Inverse Acoustic Source Problem using Multiple Frequency Limited Aperture Data
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics
Preparing for Kyber in Securing Intelligent Transportation Systems Communications: A Case Study on Fault-Enabled Chosen-Ciphertext Attack
Known Algorithms on Graphs of Bounded Treewidth are Probably Optimal
Overlapping community detection algorithms using Modularity and the cosine
Learning with Linear Function Approximations in Mean-Field Control
UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks
Domotic Embedded System
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation
Algorithms and Hardness Results for the (k,ℓ)-Cover Problem
Throughput Optimal Listen-Before-Talk for Cellular in Unlicensed Spectrum
MHR: Momentum Human Rig
Spectral Differentiation Operators and Hydrodynamic Models for Stability of Swirling Fluid Systems
An Augmented Lagrangian Preconditioner for Navier-Stokes Equations with Runge-Kutta in Time
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Roles Are Really Great!
Extracting Human Attention through Crowdsourced Patch Labeling
Probabilistic ODMA Receiver with Low-Complexity Algorithm for MIMO Unsourced Random Access
MVMR: Evaluating Natural Language Video Localization Bias over Multiple Reliable Videos Pool
Enhanced Conditional Generation of Double Perovskite by Knowledge-Guided Language Model Feedback
SynGuar: Guaranteeing Generalization in Programming by Example
Dynamic Searchable Symmetric Encryption Schemes Supporting Range Queries with Forward/Backward Privacy
A Mixture of Surprises for Unsupervised Reinforcement Learning
SuperDec: 3D Scene Decomposition with Superquadric Primitives
Modelling human seat contact interaction for vibration comfort
Can the whole brain be simpler than its "parts"?
Super-Resolution for Doubly-Dispersive Channel Estimation
Adaptive Classification of Interval-Valued Time Series
Immersed boundary model of aortic heart valve dynamics with physiological driving and loading conditions
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
Incorporating Dictionaries into a Neural Network Architecture to Extract COVID-19 Medical Concepts From Social Media
Who will share Fake-News on Twitter? Psycholinguistic cues in online post histories discriminate Between actors in the misinformation ecosystem
P-NAL: an Effective and Interpretable Entity Alignment Method
A Quantum-based Database Query Scheme for Privacy Preservation in Cloud Environment
"Stop replacing salt with sugar!": Towards Intuitive Human-Agent Teaching
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining
Cryptanalysis of a System Based on Twisted Reed-Solomon Codes
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes
A Unified Framework for Tree Search Decoding : Rediscovering the Sequential Decoder
SLIM LSTMs
The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge
We Still Don't Understand High-Dimensional Bayesian Optimization
Recommendations for Government Development and Use of Advanced Automated Systems to Make Decisions about Individuals
Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field
LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models
Simplex and MacDonald Codes over $R_{q}$
Careful analysis of XRD patterns with Attention
EqGAN: Feature Equalization Fusion for Few-shot Image Generation
Convex shapes and convergence speed of discrete tangent estimators
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study
A Task-Oriented Evaluation Framework for Text Normalization in Modern NLP Pipelines
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design"
TMS-Crossbars with Tactile Sensing
Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration
Safe Model-Free Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions
Persistence of activity on Twitter triggered by a natural disaster: A data analysis
Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering
Robust Power System State Estimation using Physics-Informed Neural Networks
A Contact-Driven Framework for Manipulating in the Blind
Secure Federated Submodel Learning
Towards an Efficient Combination of Adaptive Routing and Queuing Schemes in Fat-Tree Topologies
Finding Archetypal Spaces for Data Using Neural Networks
Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
Method for reducing of noise by improving signal-to-noise-ratio in wireless LAN
idtracker.ai: Tracking all individuals in large collectives of unmarked animals
Langevin Dynamics: A Unified Perspective on Optimization via Lyapunov Potentials