yusuke1997/dblp-id-title huggingface dataset:
Orthogonal Projection Subspace to Aggregate Online Prior-knowledge for Continual Test-time Adaptation
How Visualization PhD Students Cope with Paper Rejections
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Approximate Computation for Big Data Analytics
SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation
$L_2$Boosting in High-Dimensions: Rate of Convergence
L 1 -norm and quantum speed-up
Reproducing a Security Risk Assessment Using Computer Aided Design
Modular zk-Rollup On-Demand
Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching
Contingency-Aware Station-Keeping Control of Halo Orbits
Entanglement-Assisted Quantum Communication Beating the Quantum Singleton Bound
What Is AI Safety? What Do We Want It to Be?
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning
Explicit expanders of every degree and size
Global Roaming Trust-based Model for V2X Communications
DeLottery: A Novel Decentralized Lottery System Based on Blockchain Technology
A Novel Plug-in Module for Fine-Grained Visual Classification
Hydro: Adaptive Query Processing of ML Queries
Branching Stein Variational Gradient Descent for sampling multimodal distributions
On the Capacity for Distributed Index Coding
Boros: Secure Cross-Channel Transfers via Channel Hub
Learning to Predict Mobile Robot Stability in Off-Road Environments
Empirical Analysis of Sim-and-Real Cotraining Of Diffusion Policies For Planar Pushing from Pixels
Finite-Time Model Inference From A Single Noisy Trajectory
Detecting Generated Images by Fitting Natural Image Distributions
Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems with Coarsely Quantized Signals and C-RANs
Accelerating Growth and Size-dependent Distribution of Collective Human Activities Online
GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration
Surgical Data Science: Enabling Next-Generation Surgery
A global view of diverse construction methods of fuzzy implication functions rooted on F-chains
QUEEN: Query Unlearning against Model Extraction
Conceptual Modeling of Events Based on One-Category Ontology
A Robust Deep Learning Approach for Automatic Seizure Detection
Patents used by NPE as an Open Information System in Web 2.0 - Two mini case studies
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
The Application of AHP Model to Guide Decision Makers: A Case Study of E-banking Security
Image contrast enhancement using fuzzy logic
MapAnything: Mapping Urban Assets using Single Street-View Images
Uncertainty-Aware Perceiver
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples
Spatial Uncertainty Quantification in Wildfire Forecasting for Climate-Resilient Emergency Planning
Blockchain Solutions for Multi-Agent Robotic Systems: Related Work and Open Questions
Data-driven balancing of linear dynamical systems
Representative volume element approximations in elastoplastic spring networks
Semi-Supervised Off Policy Reinforcement Learning
How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
Probability Link Models with Symmetric Information Divergence
NFV Orchestrator Placement for Geo-Distributed Systems
Synthcity: facilitating innovative use cases of synthetic data in different data modalities
Enhancing Decision Support in Construction through Industrial AI
Convergence of Lagrange finite elements for the Maxwell Eigenvalue Problem in 2D
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks
LVLM-Aided Alignment of Task-Specific Vision Models
Ultra-imbalanced classification guided by statistical information
Design and Implementation of Distributed Resource Management for Time Sensitive Applications
Revisiting EZBFT: A Decentralized Byzantine Fault Tolerant Protocol with Speculation
Classification of Temporal Graphs using Persistent Homology
Cross-Modal Semi-Dense 6-DoF Tracking of an Event Camera in Challenging Conditions
On Helmholtz free energy for finite abstract simplicial complexes
Lang2Lift: A Framework for Language-Guided Pallet Detection and Pose Estimation Integrated in Autonomous Outdoor Forklift Operation
Cooperation Techniques for A Cellular Internet of Unmanned Aerial Vehicles
The Do's and Don'ts for CNN-based Face Verification
Cost-Effective Label-free Node Classification with LLMs
Understanding and maintaining tactics graphically OR how we learned that a diagram can be worth more than 10K LoC
Another Look at the Physics of Large Deviations With Application to Rate-Distortion Theory
3-D/2-D Registration of Cardiac Structures by 3-D Contrast Agent Distribution Estimation
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
Estimating defectiveness of source code: A predictive model using GitHub content
2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm
Artificial Intelligence Index Report 2025
R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
Audiovisual Database with 360 Video and Higher-Order Ambisonics Audio for Perception, Cognition, Behavior, and QoE Evaluation Research
Persuasion, Delegation, and Private Information in Algorithm-Assisted Decisions
My 10-Day App Crash Course in China: An Autoethnography
An Observer-Based Key Agreement Scheme for Remotely Controlled Mobile Robots
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
A Collaborative Model for Improving Information Sharing among Cancer Care Groups using Software Engineering Principles
Future Illiteracies - Architectural Epistemology and Artificial Intelligence
Towards Closed World Reasoning in Dynamic Open Worlds (Extended Version)
Network Error Logging: HTTP Archive Analysis
Protein 3D structure-based neural networks highly improve the accuracy in compound-protein binding affinity prediction
A Case for Backward Compatibility for Human-AI Teams
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
Bayes Information-theoretic Radar Waveform Design and Delay-Doppler Resolution for Extended Targets
Coexistence of Radar and Communication Systems in CBRS Bands Through Downlink Power Control
A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selection
Sums of residues on algebraic surfaces and application to coding theory
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
Multistable Perception, False Consensus, and Information Complements
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
A Note On the Bounds for the Generalized Fibonacci-p-Sequence and its Application in Data-Hiding
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Generative neural networks for characteristic functions
The Importance of Being Recurrent for Modeling Hierarchical Structure
Class-Oriented Poisoning Attack
Classification of Operational Records in Aviation Using Deep Learning Approaches
Automatic Regularization for Linear MMSE Filters
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series
MIME: Mutual Information Minimisation Exploration
Synthetic Founders: AI-Generated Social Simulations for Startup Validation Research in Computational Social Science
Lexically Cohesive Neural Machine Translation with Copy Mechanism
Nonlinear Effects in Stiffness Modeling of Robotic Manipulators
iTrash: Incentivized Token Rewards for Automated Sorting and Handling
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness
Reconstruction and Prediction of Volterra Integral Equations Driven by Gaussian Noise
True Few-Shot Learning with Prompts - A Real-World Perspective
NavMarkAR: A Landmark-based Augmented Reality (AR) Wayfinding System for Enhancing Spatial Learning of Older Adults
MVP-ORAM: a Wait-free Concurrent ORAM for Confidential BFT Storage
Quantum Pontryagin Principle under Continuous Measurements and Feedback
Weak Simplicial Bisimilarity for Polyhedral Models and SLCS_eta - Extended Version
Two New Approaches to Optical IRSs: Schemes and Comparative Analysis
Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system
Quantum Implementation of Parrondo's Paradox
SGDLibrary: A MATLAB library for stochastic gradient descent algorithms
Orthogonal polynomials on a class of planar algebraic curves
H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings
Tuning rules for passivity-based integral control for a class of mechanical systems
Use of LLMs in preparing accessible scientific papers
A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents
Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing
Two Models of Latent Consensus in Multi-Agent Systems
Feedback-MPPI: Fast Sampling-Based MPC via Rollout Differentiation - Adios low-level controllers
SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding
Condensation phase transition in nonlinear fitness networks
Behaviors of $φ$-exponential distributions in Wasserstein geometry and an evolution equation
Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models
Improve the Sustainability of Internet of Things Through Trading-based Value Creation
Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders
Internalising Interaction Protocols as First-Class Programming Elements in Multi Agent Systems
Turning the Liar paradox into a metatheorem of Basic logic
Ultra Ethernet's Design Principles and Architectural Innovations
Homography Initialization and Dynamic Weighting Algorithm Based on a Downward-Looking Camera and IMU
Short-Packet Interleaver against Impulse Interference in Practical Industrial Environments
Maximizing the Lifetime of Multi-chain PEGASIS using Sink Mobility
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
The complexity of approximate Nash equilibrium in congestion games with negative delays
Optimizing STAR Aligner for High Throughput Computing in the Cloud
Low-complexity Voronoi shaping for the Gaussian channel
Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects
Computationally Efficient System Level Tube-MPC for Uncertain Systems
Human Motion Trajectory Prediction: A Survey
Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design
Xronos: Predictable Coordination for Safety-Critical Distributed Embedded Systems
Demand Private Coded Caching: the Two-File Case
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks
Statistical and Machine Learning-based Decision Techniques for Physical Layer Authentication
LTLf Synthesis Under Environment Specifications for Reachability and Safety Properties
Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures
A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network
Polycube Layouts via Iterative Dual Loops
Improving the Generalisation of Learned Reconstruction Frameworks
MOM: Memory-Efficient Offloaded Mini-Sequence Inference for Long Context Language Models
An improved regret analysis for UCB-N and TS-N
Smooth Exact Gradient Descent Learning in Spiking Neural Networks
Efficient Probabilistic Model Checking of Smart Building Maintenance using Fault Maintenance Trees
Distributed Wear levelling of Flash Memories
Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
Regularization of Inverse Problems
Does Quantity Make a Difference? The importance of publishing many papers
StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs
Earth Observation Satellite Scheduling with Graph Neural Networks
Optimization of operation parameters towards sustainable WWTP based on deep reinforcement learning
Particle-In-Cell Simulation using Asynchronous Tasking
Secure Real-Time Monitoring and Management of Smart Distribution Grid using Shared Cellular Networks
DUM: Diversity-Weighted Utility Maximization for Recommendations
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS
A Second-Order Approach to Learning with Instance-Dependent Label Noise
Dual Synchronous Generator: Inertial Current Source based Grid-Forming Solution for VSC
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles
On computation of the inverse of a polynomial map over finite fields using the reduced Koopman dual linear map
User Perception of Privacy with Ubiquitous Devices
Scuba Search : when selection meets innovation
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection
Amidst data-driven model reduction and control
HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search
Nonlinear steering control under input magnitude and rate constraints with exponential convergence
Lower Bounds on the Number of Writing Operations by ILIFC with Inversion Cells
Implications of Stahl's Theorems to Holomorphic Embedding Pt 1: Theoretical Convergence
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
High-Throughput Condensed-Phase Hybrid Density Functional Theory for Large-Scale Finite-Gap Systems: The SeA Approach
Practical machine learning is learning on small samples
Semantic similarity estimation for domain specific data using BERT and other techniques
Covy: An AI-powered Robot for Detection of Breaches in Social Distancing
Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization
AES-CBC Software Execution Optimization
Moral foundations in an interacting neural networks society
Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations
Two families of Entanglement-assisted Quantum MDS Codes from cyclic Codes
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
Fair Schedules for Single Round Robin Tournaments with Ranked Participants
Impersonal Failure Detection
Optimization of RIS-aided MIMO Systems via the Cutoff Rate
The experience of humans' and robots' mutual (im)politeness in enacted service scenarios: An empirical study
Mechanistic Models in Computational Social Science
The Economic Complexity of the Roman Empire
Rank Conditions for Observability and Controllability for Time-varying Nonlinear Systems
1-bit Compressive Data Gathering for Wireless Sensor Networks
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Automated Polyp Segmentation in Colonoscopy Images
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
Concept Guided Co-saliency Objection Detection
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity
New Parameters on MDS Self-dual Codes over Finite Fields
On the hyper-singular boundary integral equation methods for dynamic poroelasticity: three dimensional case
Tensor and Its Tucker Core: the Invariance Relationships
Generalized Neural Networks for Real-Time Earthquake Early Warning
Convergence rates for regularized unbalanced optimal transport: the discrete case
Systematic Analysis of Cluster Similarity Indices: Towards Bias-free Cluster Validation
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning
Federated Learning as a Mean-Field Game
Hybrid Modeling of Photoplethysmography for Non-invasive Monitoring of Cardiovascular Parameters
Data-Driven Time Series Reconstruction for Modern Power Systems Research
Document Retrieval using Predication Similarity
Hyperspectral images classification and Dimensionality Reduction using Homogeneity feature and mutual information
The Changing Locus of Health Data Production and Use: Patient-Generated Health Data, Observations of Daily Living, and Personal Health Information Management
Application of Gated Recurrent Units for CT Trajectory Optimization
Covariate Shift in High-Dimensional Random Feature Regression
Uniphore's submission to Fearless Steps Challenge Phase-2
Pilot-Based Key Distribution and Encryption for Secure Coherent Passive Optical Networks
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities
Learning Concept-Based Visual Causal Transition and Symbolic Reasoning for Visual Planning
A Methodology for Automating Assurance Case Generation
On the evolution of technical lag in the npm package dependency network
Integrated BIM and Machine Learning System for Circularity Prediction of Construction Demolition Waste
Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks
Simplifying Kinematic Parameter Estimation in sEMG Prosthetic Hands: A Two-Point Approach
Causal Inference and Causal Explanation with Background Knowledge
Regularising the Cauchy problem for Laplace's equation by fractional operators
OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique
Abstracting Gradual Typing Moving Forward: Precise and Space-Efficient
Language Models can Infer Action Semantics for Classical Planners from Environment Feedback
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
Distributed coordinated precoding for MIMO cellular network virtualization
Enhancing spatial auditory attention decoding with neuroscience-inspired prototype training
AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting
Error correcting codes from sub-exceeding fonction
Correlation Tracking via Robust Region Proposals
Towards Better Parameter-Efficient Fine-Tuning for Large Language Models: A Position Paper
Improved Delay Estimates for a Queueing Model for Random Linear Coding for Unicast
Free Deterministic Equivalents, Rectangular Random Matrix Models, and Operator-Valued Free Probability Theory
Strongly Polynomial Parallel Work-Depth Tradeoffs for Directed SSSP
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data
Covering minimal separators and potential maximal cliques in P t -free graphs
The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms
Systematic Exploration of the High Likelihood Set of Phylogenetic Tree Topologies
Switching transformations for control of opinion patterns in signed networks: application to dynamic task allocation
An event-based architecture for solving constraint satisfaction problems
DeepSpecs: Expert-Level Questions Answering in 5G
Compliant actuators that mimic biological muscle performance with applications in a highly biomimetic robotic arm
Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness
MeanFlow Transformers with Representation Autoencoders
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification
MTFS: Merkle Tree based File System
ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers
Review: Ordinary Differential Equations For Deep Learning
Crowd simulation for crisis management: the outcomes of the last decade
Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
Grade Guard: A Smart System for Short Answer Automated Grading
Non-local Recurrent Regularization Networks for Multi-view Stereo
A reduced-order modeling framework for simulating signatures of faults in a bladed disk
Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion
Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness
Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages
Hermitian Preconditioning for a class of Non-Hermitian Linear Systems
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
The anatomy of a Web of Trust: the Bitcoin-OTC market
Ormer: A Manipulation-resistant and Gas-efficient Blockchain Pricing Oracle for DeFi
Derivation of effective gradient flow equations and dynamical truncation of training data in Deep Learning
Background subtraction based on Local Shape
Large-scale Machine Learning Cluster Scheduling via Multi-agent Graph Reinforcement Learning
Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Dynamic Hypergames for Synthesis of Deceptive Strategies with Temporal Logic Objectives
Greedy Multiple Instance Learning via Codebook Learning and Nearest Neighbor Voting
LAD: Language Augmented Diffusion for Reinforcement Learning
Smart Home Goal Feature Model - A guide to support Smart Homes for Ageing in Place
Knowledge Compilation of Logic Programs Using Approximation Fixpoint Theory
The Planner Optimization Problem: Formulations and Frameworks
Controlled density transport by microrotors in a Stokes flow using linear transfer operators
Lippmann-Schwinger-Lanczos algorithm for inverse scattering problems
AdaFusion: Visual-LiDAR Fusion with Adaptive Weights for Place Recognition
Collaborative Speculative Inference for Efficient LLM Inference Serving
Careful synchronisation and the diameter of transformation semigroups with few generators
A General Technique for Non-blocking Trees
Comparative Study of Speech Analysis Methods to Predict Parkinson's Disease
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Defending Against Adversarial Machine Learning
NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation
Decremental APSP in Directed Graphs Versus an Adaptive Adversary
A comparative evaluation of machine learning methods for robot navigation through human crowds
Cost Analysis for Drone based 5G eMBB Provision to Emergency Services
Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction
Regular realizability problems and regular languages
Motion-Conditioned Image Animation for Video Editing
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature
Learning Generalizable Shape Completion with SIM(3) Equivariance
The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
On the solution of contact problems with Tresca friction by the semismooth* Newton method
DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations
A Comparative study of Hyper-Parameter Optimization Tools
Jointly optimal denoising, dereverberation, and source separation
A Visual Formalism for Interacting Systems