yusuke1997/dblp-id-title huggingface dataset:
An L1 approximation for a fractional reaction-diffusion equation, a second-order error analysis over time-graded meshes
The 1958 Pekeris-Accad-WEIZAC Ground-Breaking Collaboration that computed Ground States of Two-Electron Atoms (and its 2010 Redux)
Initialization of a Polyharmonic Cascade, Launch and Testing
Ten Lessons for Data Sharing With a Data Commons
Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?
A Symmetric Multigrid-Preconditioned Krylov Subspace Solver for Stokes Equation
An Incremental Non-Linear Manifold Approximation Method
Separation of P and NP
REFLEX: Self-Refining Explainable Fact-Checking via Disentangling Truth into Style and Substance
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics
Conditioning Accept-Desirability models in the context of AGM-like belief change
A Taxonomy of Data Attacks in Power Systems
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Improving Representation Learning of Complex Critical Care Data with ICU-BERT
The number of labeled graphs of bounded treewidth
An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
Transient Instability and Patterns of Reactivity in Diffusive-Chemotaxis Soil Carbon Dynamics
On Parameterized Gallager's First Bounds for Binary Linear Codes over AWGN Channels
A Reliable Representation with Bidirectional Transition Model for Visual Reinforcement Learning Generalization
Federated Learning for Emoji Prediction in a Mobile Keyboard
Feature-Based Image Clustering and Segmentation Using Wavelets
Differential privacy from axioms
Time Series Prediction under Distribution Shift using Differentiable Forgetting
From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop
AnoOnly: Semi-Supervised Anomaly Detection without Loss on Normal Data
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique
Stable Matching with Multilayer Approval Preferences: Approvals can be Harder than Strict Preferences
ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
Does Cyclomatic or Cognitive Complexity Better Represents Code Understandability? An Empirical Investigation on the Developers Perception
Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks
NeuroCUT: A Neural Approach for Robust Graph Partitioning
Local Feature Detectors, Descriptors, and Image Representations: A Survey
Towards a Group Theoretic Quantum Encryption Scheme Based on Generalized Hidden Subgroup Problem
The iCub multisensor datasets for robot and computer vision applications
Green Resource Allocation and Energy Management in Heterogeneous Small Cell Networks Powered by Hybrid Energy
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
On the Sum-Capacity with Successive Decoding in Interference Channels
Listen to what they say: Better understand and detect online misinformation with user feedback
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room
Convergent Economic Model Predictive Control through parameter-varying storage functions for dissipativity
Dendritic organic electrochemical transistors grown by electropolymerization for 3D neuromorphic engineering
Multi-Person Tracking by Multicut and Deep Matching
Proximal Reliability Optimization for Reinforcement Learning
The message does not matter: the influence of the network on information diffusion
Toward the smooth mesh climbing of a miniature robot using bioinspired soft and expandable claws
A Review on Recent Active Vibration Control Techniques
Reinforcement Learning with Frontier-Based Exploration via Autonomous Environment
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting
A Sequential Metamorphic Testing Framework for Understanding Automated Driving Systems
Mental health concerns prelude the Great Resignation: Evidence from Social Media
An efficient quantum algorithm for lattice problems achieving subexponential approximation factor
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
BSK-WBSN: Biometric Symmetric Keys to Secure Wireless Body Sensors Networks
HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
Maximizing Infinite-horizon Based Profits for Crowd Sensing in Mobile Social Networks
IndT5: A Text-to-Text Transformer for 10 Indigenous Languages
Forbidden substrings, Kolmogorov complexity and almost periodic sequences
WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation
Energy Aware and Safe Path Planning for Unmanned Aircraft Systems
Information-theoretical analysis of event-triggered molecular communication
A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data
Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction
Computing the First Few Betti Numbers of Semi-algebraic Sets in Single Exponential Time
Assessing Correctness in LLM-Based Code Generation via Uncertainty Estimation
Current Affairs: A Measurement Study of Deployment and Security Trends in EV Charging Infrastructure
Studying the anonymity trilemma with a discrete-event mix network simulator
Unbalanced Regularized Optimal Mass Transport with Applications to Fluid Flows in the Brain
Token sliding independent set reconfiguration on block graphs
Almost Lossless Analog Signal Separation
Task-specific regularization loss towards model calibration for reliable lung cancer detection
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling
Multi-label Methods for Prediction with Sequential Data
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction
Expressiveness of Communication in Answer Set Programming
A Geometric Look at Double Descent Risk: Volumes, Singularities, and Distinguishabilities
Multidimensional Interactive Fixed-Effects
New Secure Sparse Inner Product with Applications to Machine Learning
An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage
Compressing Convolutional Neural Networks
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
Enabling arbitrary translation objectives with Adaptive Tree Search
Assisting Scene Graph Generation with Self-Supervision
A Neural Model for Contextual Biasing Score Learning and Filtering
Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing
Efficiently Estimating Data Efficiency for Language Model Fine-tuning
Robustly Learning Monotone Single-Index Models
Full Square Rhomboids and Their Algebraic Expressions
Batch Belief Trees for Motion Planning Under Uncertainty
Adversarially trained neural representations may already be as robust as corresponding biological neural representations
Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation
Improved lower bounds for Queen's Domination via an exactly-solvable relaxation
ColloQL: Robust Cross-Domain Text-to-SQL Over Search Queries
The Open Language Archives Community: An infrastructure for distributed archiving of language resources
Computational analysis of US Congressional speeches reveals a shift from evidence to intuition
The Safe Trusted Autonomy for Responsible Space Program
Neural network-based coronary dominance classification of RCA angiograms
Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks
Making Person Search Enjoy the Merits of Person Re-identification
SAR Despeckling via Log-Yeo-Johnson Transformation and Sparse Representation
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification
Energy mean-payoff games
A simple equivariant machine learning method for dynamics based on scalars
Hardness and Approximation for Network Flow Interdiction
Game-Theoretic Analysis of Mining Strategy in Bitcoin-NG Blockchain Protocol
BASN - Learning Steganography with Binary Attention Mechanism
SocialBERT - Transformers for Online SocialNetwork Language Modelling
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
Deeply-Sparse Signal rePresentations (DS 2 P)
Fundamental limit of sample generalized eigenvalue based detection of signals in noise using relatively few signal-bearing and noise-only samples
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder
Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning
Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance
Towards a Science of Scaling Agent Systems
TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora
Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric (DIEM)
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training
A Linear Approach to Data Poisoning
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values
Odd coloring of two subclasses of planar graphs
Enhancing Use Case Points Estimation Method Using Soft Computing Techniques
Quantum Machine Learning hyperparameter search
Power-saving transportation mode identification for large-scale applications
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
An adaptive parallel processing strategy in complex event processing systems over data streams
Budget Minimization with Precedence Constraints
Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages
Persistent Homology with Path-Representable Distances on Graph Data
Modeling Social Networks with Overlapping Communities Using Hypergraphs and Their Line Graphs
An Introduction to Modern Statistical Learning
SIGHT: Single-Image Conditioned Generation of Hand Trajectories for Hand-Object Interaction
How to Improve AI Tools (by Adding in SE Knowledge): Experiments with the TimeLIME Defect Reduction Tool
On the minimal memory set of cellular automata
Interferometry-based modal analysis with finite aperture effects
Doubles and Negatives are Positive (in Self-Assembly)
Dissecting Bit-Level Scaling Laws in Quantizing Vision Generative Models
Sound and Fury, Signifying Nothing? Impact of Data Breach Disclosure Laws
Active Learning for Network Traffic Classification: A Technical Survey
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding
DX100: A Programmable Data Access Accelerator for Indirection
RankSum An unsupervised extractive text summarization based on rank fusion
Quantum secret sharing for a multipartite system under energy dissipation
A QUBO Formulation for the Generalized Takuzu/LinkedIn Tango Game
A Cross-media Retrieval System for Lecture Videos
MedForget: Hierarchy-Aware Multimodal Unlearning Testbed for Medical AI
Human-Centred Learning Analytics and AI in Education: a Systematic Literature Review
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
Distribution Preserving Graph Representation Learning
Reinforcement learning for spin torque oscillator tasks
TRELLISWorld: Training-Free World Generation from Object Generators
Exponential lower bounds for history-based simplex pivot rules on abstract cubes
System-status-aware Adaptive Network for Online Streaming Video Understanding
Random Path Selection for Incremental Learning
PrimeX: A Dataset of Worldview, Opinion, and Explanation
V 2 L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning
Beyond Reasoning Gains: Mitigating General Capabilities Forgetting in Large Reasoning Models
ZK Coprocessor Bridge: Replay-Safe Private Execution from Solana to Aztec via Wormhole
Improving Resource Allocation in Software-Defined Networks using Clustering
Semi-supervised knowledge extraction for detection of drugs and their effects
Artificial Intelligence in Humans
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
Unsupervised Learning Based Multi-Scale Exposure Fusion
FOSS solution for Molecular Dynamics Simulation Automation and Collaboration with MDSGAT
Cooperative Cognitive Relaying with Ordered Cognitive Multiple Access
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks
Polyhedron Volume-Ratio-based Classification for Image Recognition
Handling Missing Data in Decision Trees: A Probabilistic Approach
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth Estimation
Applications of Interval-based Temporal Separation: the Reactivity Normal Form, Inverse Π, Craig Interpolation and Beth Definability
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning
Ericson: An Interactive Open-Domain Conversational Search Agent
Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions
Latent Action Diffusion for Cross-Embodiment Manipulation
PTSC: a New Definition for Structural Controllability under Numerical Perturbations
Cuvée: Blending SMT-LIB with Programs and Weakest Preconditions
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
HydroGEM: A Self Supervised Zero Shot Hybrid TCN Transformer Foundation Model for Continental Scale Streamflow Quality Control
The Influence of Facial Features on the Perceived Trustworthiness of a Social Robot
State Based Service Description
A Survey on Change Detection Techniques in Document Images
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning
Safe Reinforcement Learning-based Automatic Generation Control
Towards Long Form Audio-visual Video Understanding
A coupled mathematical and numerical model for protein spreading and tissue atrophy, applied to Alzheimer's disease
An efficiency ordering of k-price auctions under complete information
Cyber Value At Risk Model for IoT Ecosystems
Fast metric embedding into the Hamming cube
A Topology-Aware Graph Convolutional Network for Human Pose Similarity and Action Quality Assessment
Orthogonalization of data via Gromov-Wasserstein type feedback for clustering and visualization
Developing an AI-enabled IIoT platform - Lessons learned from early use case validation
Multiple Access in Constellation Domain by Non-Coherent Massive MIMO
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning
EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
Process Patterns for Service Oriented Development
Decomposing Temperature Time Series with Non-Negative Matrix Factorization
The Sustainability Assessment Framework Toolkit: A Decade of Modeling Experience
When majority voting fails: Comparing quality assurance methods for noisy human computation environment
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
CLAP: Learning Audio Concepts From Natural Language Supervision
A Self-Adaptive Frequency Domain Network for Continuous Intraoperative Hypotension Prediction
Quasi-stratified Order Semantics of Concurrency
Data-driven Approaches for Social Video Distribution
Substitution for Non-Wellfounded Syntax with Binders
Space-Time Nonlinear Upscaling Framework Using Non-local Multi-continuum Approach
Contrained Generalization For Data Anonymization - A Systematic Search Based Approach
Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer
Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores
Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations
Proceedings 11th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2016, Telč, Czech Republic, 21st-23rd October 2016
Evolutionary Acyclic Graph Partitioning
A new viewpoint of the Gödel's incompleteness theorem and its applications
From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures
Transformer-based Atmospheric Density Forecasting
Egocentric Effective Conductance Centrality and General Degree
On How AI Needs to Change to Advance the Science of Drug Discovery
The What, Why, and How of Context Length Extension Techniques in Large Language Models - A Detailed Survey
Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments
Clock synchronization over networks - Identifiability of the sawtooth model
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis
A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA
DEMONet: Underwater Acoustic Target Recognition based on Multi-Expert Network and Cross-Temporal Variational Autoencoder
Training CNN Classifiers for Semantic Segmentation using Partially Annotated Images: with Application on Human Thigh and Calf MRI
Board Games for Quantum Computers
EKSTRAKTO A tool to reconstruct Dedukti proofs from TSTP files (extended abstract)
Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
Rounding-Guided Backdoor Injection in Deep Learning Model Quantization
Semidefinite programming and linear equations vs. homomorphism problems
FairSkin: Fair Diffusion for Skin Disease Image Generation
Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data
Etude des déterminants psychologiques de la persistance dans l'usage d'un jeu sérieux : évaluation de l'environnement optimal d'apprentissage avec Mecagenius?
Evaluation and Optimization of Rendering Techniques for Autonomous Driving Simulation
Measuring Human and AI Values based on Generative Psychometrics with Large Language Models
Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
Injecting Abstract Interpretations into Linear Cost Models
Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning
Errors in Improved Polynomial Algorithm For 3 Sat Proposed By Narendra Chaudhari
Decision-Making Under Complete Uncertainty: You Will Regret Not Being Greedy
Evaluation of individual attributes associated with shared HIV risk behaviors among two network-based studies of people who inject drugs
Online Regenerative Learning
State and Action Factorization in Power Grids
1st AfricaNLP Workshop Proceedings, AfricaNLP@ICLR 2020, Virtual Conference, Formerly Addis Ababa Ethiopia, 26th April 2020
Adapting a Foundation Model for Space-based Tasks
Anomaly-based Framework for Detecting Power Overloading Cyberattacks in Smart Grid AMI
A Generalized CUR decomposition for matrix pairs
A Descent-based method on the Duality Gap for solving zero-sum games
Resource-constrained FPGA Design for Satellite Component Feature Extraction
An End-to-End Authentication Mechanism for Wireless Body Area Networks
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization
Deep Learning based discovery of Integrable Systems
BlueOx: A Java Framework for Distributed Data Analysis
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving
Correct and Certify: A New Approach to Self-Supervised 3D-Object Perception
Geometric Theory for Program Testing
Assessing aesthetics of generated abstract images using correlation structure
Block-Fading Channels with Delayed CSIT at Finite Blocklength
Finite Horizon Energy-Efficient Scheduling with Energy Harvesting Transmitters over Fading Channels
Regulating Chatbot Output via Inter-Informational Competition
Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances
A Human - machine interface for teleoperation of arm manipulators in a complex environment
Strategic Bidding in Electricity Markets with Convexfied AC Power Flow Constraints
Interactive GDPR-Compliant Privacy Policy Generation for Software Applications
Complete Solutions for a Combinatorial Puzzle in Linear Time
Inspiration from genetics to promote recognition and protection within ad hoc sensor networks
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery
Re-Encoding Techniques for Interpolation-Based Decoding of Reed-Solomon Codes
M2M Communications for E-Health and Smart Grid: An Industry and Standard Perspective
Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction
Toward Isomorphism of Intersection and Union types
Idealized computational models for auditory receptive fields
Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization
Stability of fast algorithms for structured linear systems
From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
Proceedings First Workshop on Quantitative Formal Methods: Theory and Applications, QFM 2009, Eindhoven, The Netherlands, 3rd November 2009
Real-Time Interactive Hybrid Ocean: Spectrum-Consistent Wave Particle-FFT Coupling
Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
Zolotarev's fifth and sixth problems
Identification of the Resting Position Based on EGG, ECG, Respiration Rate and SpO2 Using Stacked Ensemble Learning
Efficiently Ranking Software Variants with Minimal Benchmarks
Collinear datasets augmentation using Procrustes validation sets
Discovering Latent Patterns from the Analysis of User-Curated Movie Lists
How can representation dimension dominate structurally pruned LLMs?
A convenient trick to compute cluster sizes in a Network
Distributionally Robust Causal Inference with Observational Data
Abstract Mathematical morphology based on structuring element: Application to morpho-logic
DiffRhythm+: Controllable and Flexible Full-Length Song Generation with Preference Optimization
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Fiber optic computing using distributed feedback
A Distributionally Robust Area Under Curve Maximization Model
Distributed Parameter Map-Reduce
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
A security suite for wireless body area networks
Building Toffoli Network for Reversible Logic Synthesis Based on Swapping Bit Strings
An MLCommons Scientific Benchmarks Ontology
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis