yusuke1997/dblp-id-title huggingface dataset:
Rethinking the Expressiveness of GNNs: A Computational Model Perspective
Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fields
There is no prime functional digraph: Seifert's proof revisited
Generalized energy and gradient flow via graph framelets
StructInbet: Integrating Explicit Structural Guidance into Inbetween Frame Generation
Space Group Equivariant Crystal Diffusion
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies
Large language models are good medical coders, if provided with tools
MemOS: A Memory OS for AI System
Descend or Rewind? Stochastic Gradient Descent Unlearning
4D Gaussian Splatting SLAM
Strategies for Integrating Controls Flows in Software-Defined In-Vehicle Networks and Their Impact on Network Security
COSPADI: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning
SSDBCODI: Semi-Supervised Density-Based Clustering with Outliers Detection Integrated
A Meshfree Generalized Finite Difference Method for Solution Mining Processes
CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
ChessMamba: Structure-Aware Interleaving of State Spaces for Change Detection in Remote Sensing Images
DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis
A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models Pre-Training
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
Markets for Public Decision-making
Influencing Humans to Conform to Preference Models for RLHF
Optimal certification of constant-local Hamiltonians
SkyTrust: Blockchain-Enhanced UAV Security for NTNs with Dynamic Trust and Energy-Aware Consensus
Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
Exploring Loss Landscapes through the Lens of Spin Glass Theory
Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection
Locally Recoverable codes with local error detection
Diversity-Multiplexing Tradeoff in Multi-Antenna Multi-Relay Networks: Improvements and Some Optimality Results
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Minorities in networks and algorithms
#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election
NexViTAD: Few-shot Unsupervised Cross-Domain Defect Detection via Vision Foundation Models and Multi-Task Learning
Derandomizing the Lovasz Local Lemma more effectively
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Immersed boundary-finite element model of fluid-structure interaction in the aortic root
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera images
Leveraging LLM Agents for Automated Video Game Testing
Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training Exam (TXIT): Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology
A Semi Empirical Approach to a Physically Based Aging Model for Home Energy Management Systems
TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
Operation Control Protocols in Power Distribution Grids
Equivalence of local-and global-best approximations, a simple stable local commuting projector, and optimal hp approximation estimates in H(div)
Supervised Batch Normalization
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Gibbs free energies via isobaric-isothermal flows
On bias in social reviews of university courses
A matrix-free isogeometric Galerkin method for Karhunen-Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
Community Detection in Weighted Multilayer Networks with Ambient Noise
Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
A Study on Trees's Knots Prediction from their Bark Outer-Shape
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments
Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization
Detecting Driver Fatigue With Eye Blink Behavior
Put your money where your mouth is: Using deep learning to identify consumer tribes from word usage
Modeling electrochemical systems with weakly imposed Dirichlet boundary conditions
Multidimensional Assignment Problem for multipartite entity resolution
Physical Implementability of Quantum Maps and Its Application in Error Mitigation
Deterministic "Snakes and Ladders" Heuristic for the Hamiltonian Cycle Problem
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
Model Counting Modulo Theories
CavDetect: A DBSCAN Algorithm based Novel Cavity Detection Model on Protein Structure
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
Disarming Steganography Attacks Inside Neural Network Models
Estimation of the volume of the left ventricle from MRI images using deep neural networks
Multivariate Comparison of Classification Algorithms
An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
Beamforming Design for IRS-aided Decode-and-Forward Relay Wireless Network
Stochastic assignment games for Mobility-as-a-Service markets
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Aggregating Large-Scale Generalized Energy Storages to Participate in Energy Market and Regulation Market
A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
Efficiency of k-Local Quantum Search and its Adiabatic Variant on Random k-SAT
Role of Structural and Conformational Diversity for Machine Learning Potentials
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?
Subgaussian Tail Bounds via Stability Arguments
Toward Sensor and Software Product Line Based Context Aware Cloud Environment Assignment
A Formal Framework to Characterize Interpretability of Procedures
The Community Index: A More Comprehensive Approach to Assessing Scholarly Impact
UAV-enabled IoT Systems: NOMA or OMA?
Dimensionality Reduction and Classification Feature Using Mutual Information Applied to Hyperspectral Images: A Wrapper Strategy Algorithm Based on Minimizing the Error Probability Using the Inequality of Fano
Knowledge Consilience: One Culture, Two Cultures or Many Cultures?
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations
Detecting Communities in Complex Networks using an Adaptive Genetic Algorithm and node similarity-based encoding
A Noise-Robust Fast Sparse Bayesian Learning Model
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
SALSA: Single-pass Autoregressive LLM Structured Classification
Solving large Maximum Clique problems on a quantum annealer
Strong Conflict-Free Coloring of Intervals
Learning multiview 3D point cloud registration
Federated Learning via Active RIS Assisted Over-the-Air Computation
Integrating Job Parallelism in Real-Time Scheduling Theory
NiCro: Purely Vision-based, Non-intrusive Cross-Device and Cross-Platform GUI Testing
Stochastic Graph Transformation For Social Network Modeling
Impossibility of composable Oblivious Transfer in relativistic quantum cryptography
Burstein's permutation conjecture, Hong and Li's inversion sequence conjecture, and restricted Eulerian distributions
Rainy screens: Collecting rainy datasets, indoors
Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
A short review and primer on electroencephalography in human computer interaction applications
Polylogarithmic Gap between Meshes with Reconfigurable Row/Column Buses and Meshes with Statically Partitioned Buses
High order efficient algorithm for computation of MHD flow ensembles
Stochastic Dynamic Programming Heuristics for Influence Maximization-Revenue Optimization
VietMEAgent: Culturally-Aware Few-Shot Multimodal Explanation for Vietnamese Visual Question Answering
SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
Correctness and completeness of logic programs
Wasserstein projection distance for fairness testing of regression models
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification
Large Language Models as symbolic DNA of cultural dynamics
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning
Hashing Modulo Context-Sensitive α-Equivalence
Self-Supervised Anomaly Detection: A Survey and Outlook
Generation of musical patterns through operads
TartuNLP @ AXOLOTL-24: Leveraging Classifier Output for New Sense Detection in Lexical Semantics
An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition
A Practical Formalization of Monadic Equational Reasoning in Dependent-type Theory
Social groups in pedestrian crowds: Review of their influence on the dynamics and their modelling
Synthesizing Analytical SQL Queries from Computation Demonstration
Rumor source detection with multiple observations under adaptive diffusions
Inapproximability of Additive Weak Contraction under SSEH and Strong UGC
ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration
Optimal Phase Design for RIS Channel Estimation
Safe Reinforcement Learning for Antenna Tilt Optimisation using Shielding and Multiple Baselines
D-LIO: 6DoF Direct LiDAR-Inertial Odometry based on Simultaneous Truncated Distance Field Mapping
Below All Subsets for Permutational Counting Problems
ApproxPilot: A GNN-based Accelerator Approximation Framework
Sensor Fault Detection, Isolation and Identification Using Multiple Model-based Hybrid Kalman Filter for Gas Turbine Engines
Asynchronous Bounded Expected Delay Networks
Charge-conserving, variational particle-in-cell method for the drift-kinetic Vlasov-Maxwell system
Topology Optimization via Machine Learning and Deep Learning: A Review
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
A Nonlinear Finite Element Heterogeneous Multiscale Method for the Homogenization of Hyperelastic Solids and a Novel Staggered Two-Scale Solution Algorithm
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners
Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation
User assisted and automatic inverse procedural road modelling at the city scale
Energy, Scalability, Data and Security in Massive IoT: Current Landscape and Future Directions
Autonomous UAV Navigation with Domain Adaptation
Randomized Multiresolution Scanning in Focal and Fast E/MEG Sensing of Brain Activity with a Variable Depth
Versatile Depth Estimator Based on Common Relative Depth Estimation and Camera-Specific Relative-to-Metric Depth Conversion
Diagonalization-based preconditioners and generalized convergence bounds for ParaOpt
Structuring an unordered text document
Audio enabled information extraction system for cricket and hockey domains
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning
Flags of almost affine codes
Can SGD Handle Heavy-Tailed Noise?
Envelopes and Waves: Safe Multivehicle Collision Avoidance for Horizontal Non-deterministic Turns
Extending Dynamic Bayesian Networks for Anomaly Detection in Complex Logs
Efficient Decoder for End-to-End Oriented Object Detection in Remote Sensing Images
Complexity of Deciding the Equality of Matching Numbers
Implementation of a Cloud Data Server (CDS) for Providing Secure Service in E-Business
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing
Towards A Double-Edged Sword: Modelling the Impact in Agile Software Development
Unsupervised classification of uncertain data objects in spatial databases using computational geometry and indexing techniques
A nonlinear system related to investment under uncertainty solved using the fractional pseudo-Newton method
Asymptotic compatibility of parametrized optimal design problems
Relational Graph Representation Learning for Open-Domain Question Answering
The End of the Canonical IoT Botnet: A Measurement Study of Mirai's Descendants
Optimization-Free Image Immunization Against Diffusion-Based Editing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing
A Distributed Economics-based Infrastructure for Utility Computing
Sensing-Communication-Computing-Control Closed Loop for Unmanned Space Exploration
BLEST: Blazingly Efficient BFS using Tensor Cores
Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
Improve Contrastive Clustering Performance by Multiple Fusing-Augmenting ViT Blocks
Which Coauthor Should I Nominate in My 99 ICLR Submissions? A Mathematical Analysis of the ICLR 2026 Reciprocal Reviewer Nomination Policy
Multi-Graph Tensor Networks
A Note on Generic Tangle Algorithms
Scalable Co-Clustering for Large-Scale Data through Dynamic Partitioning and Hierarchical Merging
Data science for urban equity: Making gentrification an accessible topic for data scientists, policymakers, and the community
SN-Graph: a Minimalist 3D Object Representation for Classification
Locked In, Leaked Out: Measuring Isolation via Kernel Locks
Recurrent Parameter Generators
Physics-informed Partitioned Coupled Neural Operator for Complex Networks
Colimits of Monads
Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Generalization and the Rise of System-level Creativity in Science
TopoDiffuser: A Diffusion-Based Multimodal Trajectory Prediction Model with Topometric Maps
A comparative study of model approximation methods applied to economic MPC
Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries
Generative Transfer Learning between Recurrent Neural Networks
Memory-augmented Dense Predictive Coding for Video Representation Learning
Vibration Free Flexible Object Handling with a Robot Manipulator Using Learning Control
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
Haptic search with the Smart Suction Cup on adversarial objects
Quantifying Retrospective Human Responsibility in Intelligent Systems
Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints
DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data
Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management
Stable Computation of Laplacian Eigenfunctions Corresponding to Clustered Eigenvalues
NIFTY: a Non-Local Image Flow Matching for Texture Synthesis
DLRRMS: Deep Learning based Respiratory Rate Monitoring System using Mobile Robots and Edges
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback
DualFast: Dual-Speedup Framework for Fast Sampling of Diffusion Models
Leveraging deep learning for fully automated NMR protein structure determination
On the Utility of Equivariance and Symmetry Breaking in Deep Learning Architectures on Point Clouds
Maintaining scientific discourse during a global pandemic: ESO's first e-conference #H02020
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
Towards Incorporating Researcher Safety into Information Integrity Research Ethics
Inferring Drop-in Binary Parsers from Program Executions
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening
Can we cite Wikipedia? What if Wikipedia was more reliable than its detractors ?
Effective Prime Factorization via Quantum Annealing by Modular Locally-structured Embedding
Mining Statistically Significant Substrings Based on the Chi-Square Measure
On the definition of the classical connectives and quantifiers
Cooperation, Retaliation and Forgiveness in Revision Games
Matrix Factorization for Nonparametric Multi-source Localization Exploiting Unimodal Properties
The Effect of Task Ordering in Continual Learning
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
FT-EALU: Fault Tolerant Arithmetic and Logic Unit for Critical Embedded and Real time Systems
A spatiotemporal model with visual attention for video classification
The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models
Weakly Supervised Segmentation by A Deep Geodesic Prior
Verified Runtime Validation for Partially Observable Hybrid Systems
Creative Procedural-Knowledge Extraction From Web Design Tutorials
Do Retrieval Augmented Language Models Know When They Don't Know?
Quinpi: Integrating stiff hyperbolic systems with implicit high order finite volume schemes
A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data
Distributed Nonparametric Sequential Spectrum Sensing under Electromagnetic Interference
Direct solutions to tropical optimization problems with nonlinear objective functions and boundary constraints
Gaze-Vector Estimation in the Dark with Temporally Encoded Event-driven Neural Networks
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton
Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module
Quality related publication categories in social sciences and humanities, based on a university's peer review assessments
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss
DiSCo Meets LLMs: A Unified Approach for Sparse Retrieval and Contextual Distillation in Conversational Search
Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking
DOC-Depth: A novel approach for dense depth ground truth generation
Sound and Complete Runtime Security Monitor for Application Software
Recursive Recovery of Sparse Signal Sequences from Compressive Measurements: A Review
An EM Body Model for Device-Free Localization with Multiple Antenna Receivers: A First Study
Asymptotic Eigenvalue Moments of Wishart-Type Random Matrix Without Ergodicity in One Channel Realization
A generalization of the construction of quantum codes from Hermitian self-orthogonal codes
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis
Towards Speaker Identification with Minimal Dataset and Constrained Resources using 1D-Convolution Neural Network
Simulation Assessment Guidelines towards Independent Safety Assurance of Autonomous Vehicles
ImCLR: Implicit Contrastive Learning for Image Classification
Theoretical Foundation of Colored Petri Net through an Analysis of their Markings as Multi-classification
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems
Towards a Cloud-based Architecture for Visualization and Augmented Reality to Support Collaboration in Manufacturing Automation
Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
Vocal Interactivity in Crowds, Flocks and Swarms: Implications for Voice User Interfaces
A Real Polynomial for Bipartite Graph Minimum Weight Perfect Matchings
Multi-agent Planning using Visual Language Models
Towards dual consistency of the dual weighted residual method based on a Newton-GMG framework for steady Euler equations
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
A new role for circuit expansion for learning in neural networks
Weighted Modal Transition Systems
Library Learning Doesn't: The Curious Case of the Single-Use "Library"
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation
Achieving Full DoF in Heterogeneous Parallel Broadcast Channels with Outdated CSIT
Novel Adaptive Genetic Algorithm Sample Consensus
Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game
Causally Reliable Concept Bottleneck Models
Decouple-Then-Merge: Towards Better Training for Diffusion Models
The Mixing Time of Glauber Dynamics for Colouring Regular Trees
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection
Receding Horizon Optimization with PPUM: An Approach for Autonomous Robot Path Planning in Uncertain Environments
Learning from Preferences and Mixed Demonstrations in General Settings
Evaluating LLMs for Gender Disparities in Notable Persons
Learning Filter-Based Compressed Blind-Deconvolution
Towards Understanding Theoretical Advantages of Complex-Reaction Networks
Rapidly-exploring Random Forest: Adaptively Exploits Local Structure with Generalised Multi-Trees Motion Planning
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers
Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support
Stream Reasoning on Expressive Logics
FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing
Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and Classification
DeFlowSLAM: Self-Supervised Scene Motion Decomposition for Dynamic Dense SLAM
CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical Images
An Efficient homophilic model and Algorithms for Community Detection using Nash Dynamics
Multi-Objective Vector Control of a Three-Phase Vibratory Energy Harvester
YCB-Ev: Event-vision dataset for 6DoF object pose estimation
Optimal search strategies on complex networks
Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction
v-PuNNs: van der Put Neural Networks for Transparent Ultrametric Representation Learning
Learning Depth via Interaction
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval
Multi-Technique Sequential Information Consistency For Dynamic Visual Place Recognition In Changing Environments
The Simplex Tree: an Efficient Data Structure for General Simplicial Complexes
A Composable Channel-Adaptive Architecture for Seizure Classification
Transmitter Classification With Supervised Deep Learning
Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
Evaluation of Virtual Reality Interaction Techniques: the case of 3D Graph
The Star Height Hierarchy Vs. The Variable Hierarchy