yusuke1997/dblp-id-title huggingface dataset:
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
A Versatile Algorithm to Generate Various Combinatorial Structures
Contracted Product of Hypermatrices via STP of Matrices
How does Object-Oriented Code Refactoring Influence Software Quality? Research Landscape and Challenges
DSAT-HD: Dual-Stream Adaptive Transformer with Hybrid Decomposition for Multivariate Time Series Forecasting
A Hamiltonian driven Geometric Construction of Neural Networks on the Lognormal Statistical Manifold
UGSim: Autonomous Buoyancy-Driven Underwater Glider Simulator with LQR Control Strategy and Recursive Guidance System
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI
Unlearnable Algorithms for In-context Learning
Information Theoretic Security for Side-Channel Attacks to the Shannon Cipher System
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning
A Semidefinite Programming Method for Integer Convex Quadratic Minimization
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution
McNet: Fuse Multiple Cues for Multichannel Speech Enhancement
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
Influence of Initialization on the Performance of Metaheuristic Optimizers
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation
Error estimates for finite element discretizations of the instationary Navier-Stokes equations
Set Block Decoding is a Language Model Inference Accelerator
A Problem-Specific Fault-Tolerance Mechanism for Asynchronous Distributed Systems
Superconducting Optoelectronic Neurons II: Receiver Circuits
Automan: a simple, Python-based, automation framework for numerical computing
A man with a computer face (to the 80th anniversary of Ivan Edward Sutherland)
MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping
Coordination-Free Lane Partitioning for Convergent ANN Search
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest
Evaluating 5G Networks for U-Space Applications: Insights from Dense Urban Measurement Campaign
Multi-modal Expression Recognition with Ensemble Method
ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
Broken keys to the kingdom: Security and privacy aspects of RFID-based car keys
BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages
Joint denoising and HDR for RAW video sequences
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
Sparse Attention across Multiple-context KV Cache
Evaluation of Plane Detection with RANSAC According to Density of 3D Point Clouds
ReluDiff: Differential Verification of Deep Neural Networks
Word Sense Disambiguation Based on Mutual Information and Syntactic Patterns
DEQuify your force field: More efficient simulations using deep equilibrium models
Generalized Mode and Ridge Estimation
Improved and Simplified Inapproximability for k-means
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
Space-time POD and the Hankel matrix
Coarsening and parallelism with reduction multigrids for hyperbolic Boltzmann transport
Similarity learning for wells based on logging data
Unsupervised Flow Discovery from Task-oriented Dialogues
Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention
Reservoir kernels and Volterra series
APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds
Towards an Automated Optimization of Laminated Composite Structures: Hierarchical Zoning Approach with Exact Blending Rules
Evaluation of YTEX and MetaMap for clinical concept recognition
Quickest Search over Multiple Sequences with Mixed Observation
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining
Dual-Mode Synchronization Predictive Control of Robotic Manipulator
Personalized Emotion Detection from Floor Vibrations Induced by Footsteps
On Resource Aware Algorithms in Epidemic Live Streaming
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events
Resolving Sharp Gradients of Unstable Singularities to Machine Precision via Neural Networks
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions
LLM⨉MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules
Learning Sparse Wavelet Representations
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering
The Relevance of Item-Co-Exposure For Exposure Bias Mitigation
Universal Composability is Secure Compilation
Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images
Scaling Cultural Resources for Improving Generative Models
Flexible learning of quantum states with generative query neural networks
A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models
Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement
COLA: Continual Learning via Autoencoder Retrieval of Adapters
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles
Test-Driven Development for Code Generation
Reliability Function of Quantum Information Decoupling
A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs
Giving AI Personalities Leads to More Human-Like Reasoning
Uncertainty propagation of stochastic hybrid systems: a case study for types of jump
Interpreting Language Models Through Knowledge Graph Extraction
Optimal Load Balancing in Millimeter Wave Cellular Heterogeneous Networks
On the Relative Completeness of Satisfaction-based Quantum Hoare Logic
Alternative Fairness and Accuracy Optimization in Criminal Justice
Feature selection simultaneously preserving both class and cluster structures
Robot Explanation Identity
Wireguard: An Efficient Solution for Securing IoT Device Connectivity
Rapid 3D Reconstruction of Indoor Environments to Generate Virtual Reality Serious Games Scenarios
Meta-learning Structure-Preserving Dynamics
TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentation
Evaluating Investment Risks in LATAM AI Startups: Ranking of Investment Potential and Framework for Valuation
Beyond Predefined Actions: Integrating Behavior Trees and Dynamic Movement Primitives for Robot Learning from Demonstration
A CNN toolbox for skin cancer classification
Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints
Top-Down Saliency Detection Driven by Visual Classification
Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium
KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems
The Partially Observable Games We Play for Cyber Deception
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Bifurcation analysis of Bogdanov-Takens bifurcations in delay differential equations
Extracting Disaster Impacts and Impact Related Locations in Social Media Posts Using Large Language Models
Active learning of upward-closed sets of words
Forest Proximities for Time Series
Differentially Private Distance Query with Asymmetric Noise
Decidability, arithmetic subsequences and eigenvalues of morphic subshifts
Position: AI Will Transform Neuropsychology Through Mental Health Digital Twins for Dynamic Mental Health Care, Especially for ADHD
Persistent Memory Objects: Fast and Easy Crash Consistency for Persistent Memory
GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
Query as Test: An Intelligent Driving Test and Data Storage Method for Integrated Cockpit-Vehicle-Road Scenarios
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems
On the Feasibility of Creating Iris Periocular Morphed Images
Exploring Temporal Differences in 3D Convolutional Neural Networks
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Investigating SCADA Failures in Interdependent Critical Infrastructure Systems
Randomized Nyström approximation of non-negative self-adjoint operators
INSPIRE: The Entry Point to Europe's Big Geospatial Data Infrastructure
How Decentral Smart Grid Control limits non-Gaussian power grid frequency fluctuations
Empowering Urban Governance through Urban Science: Multi-scale Dynamics of Urban Systems Worldwide
Optimal Seed Solver: Optimizing Seed Selection in Read Mapping
Robust Data-Driven Predictive Control using Reachability Analysis
An Empirical Bayes Framework for Open-Domain Dialogue Generation
The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems
A Combinatorial Problem Arising From Ecology: the Maximum Empower Problem
Optimal Control for Network of Coupled Oscillators
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
Device Activity Detection for Massive Grant-Free Access Under Frequency-Selective Rayleigh Fading
Template Matching based Object Detection Using HOG Feature Pyramid
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
Sampling using SU(N) gauge equivariant flows
Big Data, Big Decisions Choosing the Right Database
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
Automated SAR ADC Sizing Using Analytical Equations
Minimum-Margin Active Learning
Diagonal Gaussian Mixture Models and Higher Order Tensor Decompositions
Asynchrony begets Momentum, with an Application to Deep Learning
Medication Recommendation via Domain Knowledge Informed Deep Learning
What Twitter Data Tell Us about the Future?
A Protection Method of Trained CNN Model with Secret Key from Unauthorized Access
On the Obfuscation Complexity of Planar Graphs
A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
Reliability and Comparability of Peer Review Results
Generalized Categories Discovery for Long-tailed Recognition
Adaptively Sketched Bregman Projection Methods for Linear Systems
Human-in-the-loop Robotic Manipulation Planning for Collaborative Assembly
A Proactive Design to Detect Denial of Service Attacks Using SNMP-MIB ICMP Variables
AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
High-Resolution Deep Convolutional Generative Adversarial Networks
A Critical Perspective on Finite Sample Conformal Prediction Theory in Medical Applications
Complexity and nonlinearity of colloid electrical transducers
Training Deep Neural Network in Limited Precision
RONA: Pragmatically Diverse Image Captioning with Coherence Relations
Non-rational Narain CFTs from codes over F 4
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy
Multi-Drone based Single Object Tracking with Agent Sharing Network
StreamOptix: A Cross-layer Adaptive Video Delivery Scheme
Were RNNs All We Needed?
crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder
Cross-Channel Correlation Preserved Three-Stream Lightweight CNNs for Demosaicking
Energy harvesting from anisotropic fluctuations
ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Grounded Language Design for Lightweight Diagramming for Formal Methods
Improving tasks throughput on accelerators using OpenCL command concurrency
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation
Learning to Defer in Content Moderation: The Human-AI Interplay
Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach
Latent Mutants: A large-scale study on the Interplay between mutation testing and software evolution
Non-orthogonal Multiple Access for High-reliable and Low-latency V2X Communications in 5G Systems
Short edges and noncrossing paths in complete topological graphs
Private, Auditable, and Distributed Ledger for Financial Institutes
User-customizable Shared Control for Fine Teleoperation via Virtual Reality
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Flight Trajectory Prediction
A simple and effective method based on strain projections to alleviate locking in isogeometric solid shells
DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis
LR-XFL: Logical Reasoning-based Explainable Federated Learning
Industrial Viewpoints on RAN Technologies for 6G
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization
A Decentralised Digital Identity Architecture
Massively parallel quantum chemistry: PFAS on over 1 million cloud vCPUs
Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety
How much data do you need? Part 2: Predicting DL class specific training dataset sizes
ImageNet/ResNet-50 Training in 224 Seconds
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning
Trabant: A Serverless Architecture for Multi-Tenant Orbital Edge Computing
Hiding Signal Strength Interference from Outside Adversaries
Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics
Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation
Hybrid Genetic Search for Dynamic Vehicle Routing with Time Windows
Scaling up Probabilistic PDE Simulators with Structured Volumetric Information
AutoGain: Adapting Gain Functions by Optimizing Submovement Efficiency
Automatic Depression Assessment using Machine Learning: A Comprehensive Survey
Best of Both Worlds Guarantees for Equitable Allocations
Paladin-mini: A Compact and Efficient Grounding Model Excelling in Real-World Scenarios
An efficient CNN for spectral reconstruction from RGB images
Characterizing IOMT/Personal Area Networks Landscape
UAV-Enabled Wireless Power Transfer with Directional Antenna: A Two-User Case
Control and controllability of nonlinear dynamical networks: a geometrical approach
Dynamic PET Image Reconstruction via Non-negative INR Factorization
Online route choice modeling for Mobility-as-a-Service networks with non-separable, congestible link capacity effects
Complementing Lexical Retrieval with Semantic Residual Embedding
Finite First Hitting Time versus Stochastic Convergence in Particle Swarm Optimisation
Prefix Coding under Siege
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments
A Note On 𝓁-Rauzy Graphs for the Infinite Fibonacci Word
Model Compression using Progressive Channel Pruning
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality
Dataset Distillation
Multiple Graph Adversarial Learning
AffectEval: A Modular and Customizable Framework for Affective Computing
End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation
Full-resolution quality assessment for pansharpening
A Novel Faster All-Pair Shortest Path Algorithm Based on the Matrix Multiplication for GPUs
Design of a Reformed Array Logic Binary Multiplier for High-Speed Computations
Physicist's Journeys Through the AI World - A Topical Review. There is no royal road to unsupervised learning
Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
A Fast Affine Projection Algorithm Based on Matching Pursuit in Adaptive Noise Cancellation for Speech Enhancement
A Batched GPU Methodology for Numerical Solutions of Partial Differential Equations
Cryptographic Enforcement of Information Flow Policies without Public Information
Predicting probability distributions for cancer therapy drug selection optimization
Efficient implementation of incremental proximal-point methods
A Deep Reinforcement Learning Approach to Rare Event Estimation
Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
NVPC: A Transparent NVM Page Cache
UniSG^GA: A 3D scenegraph powered by Geometric Algebra unifying geometry, behavior and GNNs towards generative AI
Infeasibility and structural bias in Differential Evolution
Random directions stochastic approximation with deterministic perturbations
SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning
Generalized Stochastic Dynamic Aggregative Game for Demand-Side Management in Microgrids with Shared Battery
Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks
Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows
Verification of probabilistic bounded $δ$-reachability for cyber-physical systems
Exact values of generic subrank
STARVERI: Efficient and Accurate Verification for Risk-Avoidance Routing in LEO Satellite Networks
A Software Package for Generating Robust and Accurate Potentials using the Moment Tensor Potential Framework
A new boosting algorithm based on dual averaging scheme
Survival Analysis of Young Triple-Negative Breast Cancer Patients
HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba
Recommandation mobile, sensible au contexte de contenus évolutifs: Contextuel-E-Greedy
Explicit Change Relation Learning for Change Detection in VHR Remote Sensing Images
Robotic Vision for Space Mining
Generalised Multiparty Session Types with Crash-Stop Failures (Technical Report)
Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue
Generative adversarial networks and adversarial methods in biomedical image analysis
Decentralized Handover Parameter Optimization with MARL for Load Balancing in 5G Networks
A Macrocolumn Architecture Implemented with Temporal (Spiking) Neurons
Constrained-CNN losses forweakly supervised segmentation
Optimizing Variational Quantum Circuits using Evolution Strategies
Graph Orientation and Flows Over Time
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
How should the advent of large language models affect the practice of science?
SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model
AI Adoption Across Mission-Driven Organizations
A new graph modelisation for molecule similarity
High-Speed and High-Quality Text-to-Lip Generation
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach
A Search for Good Pseudo-random Number Generators : Survey and Empirical Studies
GATher: Graph Attention Based Predictions of Gene-Disease Links
Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization
Density Evolution Analysis of Spatially Coupled LDPC Codes Over BIAWGN Channel
Towards an Understanding of Valence in E-Government Services
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling
Location-aware Graph Convolutional Networks for Video Question Answering
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
Attempto Controlled English (ACE)
GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage
Self-Supervised Learning for Fine-Grained Image Classification
Efficient Encrypted Inference on Ensembles of Decision Trees
Cameleer: a Deductive Verification Tool for OCaml
Online Learning for Intelligent Thermal Management of Interference-coupled and Passively Cooled Base Stations
4D Radar-Inertial Odometry based on Gaussian Modeling and Multi-Hypothesis Scan Matching
REGAL: Transfer Learning For Fast Optimization of Computation Graphs
F.A.C.U.L.: Language-Based Interaction with AI Companions in Gaming
Distributed Computation Offloading for Energy Provision Minimization in WP-MEC Networks with Multiple HAPs
H(curl)-based approximation of the Stokes problem with weakly enforced no-slip boundary conditions
Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19
Contrastive Pre-training for Deep Session Data Understanding
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification
Towards Solving the Inverse Protein Folding Problem
Resolving code smells in software product line using refactoring and reverse engineering
The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks
Symmetric Canonical Quincunx Tight Framelets with High Vanishing Moments and Smoothness
Randomized Smoothing Meets Vision-Language Models
Multi-Perspective Attention Mechanism for Bias-Aware Sequential Recommendation
The star trellis decoding of Reed-Solomon codes
Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data
Power packet transferability via symbol propagation matrix
Centrality Metric for Dynamic Networks
Multirotor Nonlinear Model Predictive Control based on Visual Servoing of Evolving Features
An End to End Network Architecture for Fundamental Matrix Estimation
Adaptive Gradient Methods for Constrained Convex Optimization
Effects of the Plan Vélo I and II on vehicular flow in Paris - An Empirical Analysis
CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation
Learning Functional Dependencies with Sparse Regression
Multi-Slot Over-The-Air Computation in Fading Channels
Computation of Diet Composition for Patients Suffering from Kidney and Urinary Tract Diseases with the Fuzzy Genetic System
A Design Space for Visualization Transitions of 3D Spatial Data in Hybrid AR-Desktop Environments
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks
Integration of Large Language Models in Control of EHD Pumps for Precise Color Synthesis
Robotic Classification of Divers' Swimming States using Visual Pose Keypoints as IMUs