yusuke1997/dblp-id-title huggingface dataset:
Minimax Design of Nonlinear Phase FIR Filters with Optimality Certificates
Model selection meets clinical semantics: Optimizing ICD-10-CM prediction via LLM-as-Judge evaluation, redundancy-aware sampling, and section-aware fine-tuning
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
Bias Variance Tradeoff in Analysis of Online Controlled Experiments
Morse sequences on stacks and flooding sequences
Whiteness-based parameter selection for Poisson data in variational image processing
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry
On the existence of factors intersecting sets of cycles in regular graphs
clustering an african hairstyle dataset using pca and k-means
Privacy-Adaptive BERT for Natural Language Understanding
An Euler-type method for Volterra integro-differential equations
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Hierarchical Routing over Dynamic Wireless Networks
Design, Implementation, and Automation of a Risk Management Approach for Man-at-the-End Software Protection
Determination, Calculation and Representation of the Upper and Lower Sealing Zones During Virtual Stenting of Aneurysms
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs
Scalable and Robust Transformer Decoders for Interpretable Image Classification with Foundation Models
Get Back Here: Robust Imitation by Return-to-Distribution Planning
Emergent Insight of the Cyber Security Management for Saudi Arabian Universities: A Content Analysis
Linear Large-Scale MIMO Data Detection for 5G Multi-Carrier Waveform Candidates
MambaGlue: Fast and Robust Local Feature Matching With Mamba
A Kaczmarz Method with Simple Random Sampling for Solving Large Linear Systems
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model
Diversifying Software Architecture for Sustainability: A Value-based Perspective
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need
Bandwidth Slicing to Boost Federated Learning in Edge Computing
A Review of Modern Approaches for Coronary Angiography Imaging Analysis
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference
Richer and Deeper Supervision Network for Salient Object Detection
FOM-Nav: Frontier-Object Maps for Object Goal Navigation
Decentralized Hybrid Precoding for Massive MU-MIMO ISAC
Deep Learning Architectures for Face Recognition in Video Surveillance
A Theory of Information Matching
FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
PERIDOT Codes: Replacing Identifiers, Sequence Numbers and Nonces with Permutations
Dirichlet-vMF Mixture Model
Substituting Proof of Work in Blockchain with Training-Verified Collaborative Model Computation
Leveraging speaker attribute information using multi task learning for speaker verification and diarization
Parallel Algorithms for Counting Triangles in Networks with Large Degrees
CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Coupled Control Systems: Periodic Orbit Generation with Application to Quadrupedal Locomotion
Cloudpress 2.0: A MapReduce Approach for News Retrieval on the Cloud
Federated Learning: From Theory to Practice
Online simulator-based experimental design for cognitive model selection
The Inversion Paradox and Ranking Methods in Tournaments
Sequences of LCD AG codes and LCP of AG Codes attaining the Tsfasman-Vladut-Zink bound
Learning General Policies from Small Examples Without Supervision
A Label is Worth a Thousand Images in Dataset Distillation
Same or Not? Enhancing Visual Perception in Vision-Language Models
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
Bibliometrics in Press. Representations and Uses of Bibliometric Indicators in the Italian Daily Newspapers
End-to-end speaker diarization with transformer
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Optimal Channel Estimation for Reciprocity-Based Backscattering with a Full-Duplex MIMO Reader
Learning Language Structures through Grounding
Efficient repeat finding via suffix arrays
Real-Time Panoramic Tracking for Event Cameras
Forecasting the Intra-Day Spread Densities of Electricity Prices
VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
Improved Methods For Generating Quasi-Gray Codes
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction
Undeniable Signature Schemes Using Braid Groups
Characterization of Circular-arc Graphs: II. McConnell Flipping
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks
Competing Bandits: Learning under Competition
Multiple-access Network Information-flow and Correction Codes
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
A Non-Adversarial Approach to Idempotent Generative Modelling
Multiple Access Channel Resolvability Codes from Source Resolvability Codes
Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering
AmicroN: A Framework for Generating Annotations for Human Activity Recognition with Granular Micro-Activities
Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions
Deciding Reachability in a Directed Graph given its Path Decomposition
Cross-Lingual Predicate Mapping Between Linked Data Ontologies
Shift-based Primitives for Efficient Convolutional Neural Networks
An efficient time domain representation for Single-Carrier Frequency Division Multiple Access
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model
Complete Implementation of WXF Chinese Chess Rules
LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition
Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives
Phase field modelling and simulation of damage occurring in human vertebra after screws fixation procedure
NoteFlow: Recommending Charts as Sight Glasses for Tracing Data Flow in Computational Notebooks
Automated Aggregator - Rewriting with the Counting Aggregate
Learning the structure of any Hamiltonian from minimal assumptions
Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets
Subset-lex: did we miss an order?
Exploring Remote Physiological Signal Measurement under Dynamic Lighting Conditions at Night: Dataset, Experiment, and Analysis
Strengthening Convex Relaxations of 0/1-Sets Using Boolean Formulas
Learning Controlled Stochastic Differential Equations
Gesture-based Human-robot Interaction for Field Programmable Autonomous Underwater Robots
Fingerprinting Cryptographic Protocols with Key Exchange using an Entropy Measure
Systematic Evaluation of Knowledge Graph Repair with Large Language Models
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria
Physics-guided weak-form discovery of reduced-order models for trapped ultracold hydrodynamics
Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach
Fiberwise dimensionality reduction of topologically complex data with vector bundles
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
Evolution of differentiated expression patterns in digital organisms
Dual-Branch MRC Receivers under Spatial Interference Correlation and Nakagami Fading
Hsiao-Code Check Matrices and Recursively Balanced Matrices
Sensitive Data Detection with High-Throughput Neural Network Models for Financial Institutions
The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Memristors, Spintronics and 2D Materials for Future Computing Systems
Category-Aware Semantic Caching for Heterogeneous LLM Workloads
Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling
A Masked Reverse Knowledge Distillation Method Incorporating Global and Local Information for Image Anomaly Detection
COVID-19 Detection Using Swin Transformer Approach from Computed Tomography Images
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge
Dynamic Compact Data Structure for Temporal Reachability with Unsorted Contact Insertions
Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression
A Note on the Computational Complexity of Selfmate and Reflexmate Chess Problems
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection
Deep Inverse Reinforcement Learning
Counterfactual Explanations for Multivariate Time-Series without Training Datasets
Neural Networks with Orthogonal Jacobian
Rethinking Recurrent Neural Networks and other Improvements for Image Classification
High efficiency rl agent
Face Generation and Editing with StyleGAN: A Survey
Reference Grounded Skill Discovery
An analytical framework for data stream mining techniques based on challenges and requirements
Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Properties
Improved Competitive Ratios for Online Bipartite Matching on Degree Bounded Graphs
Information Diffusion in Social Sensing
How good are Large Language Models on African Languages?
An Open-Source Project for MapReduce Performance Self-Tuning
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
Towards Learning-Based Gyrocompassing
Bayesian Fields: Task-driven Open-Set Semantic Gaussian Splatting
ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation
Intra-Basis Multiplication of Polynomials Given in Various Polynomial Bases
Automated metrics calculation in a dynamic heterogeneous environment
A calculus for epistemic interactions
An Efficient Iterative Method for Solving Multiple Scattering in Locally Inhomogeneous Media
Constellation Design of Remote Sensing Small Satellite for Infrastructure Monitoring in India
Behavioral and Population Data Driven Distribution System Load Modeling
SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?
1DCNNTrans: BISINDO Sign Language Interpreters in Improving the Inclusiveness of Public Services
Out-of-Distribution Generalization Analysis via Influence Function
Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data
Learning to Combat Noisy Labels via Classification Margins
Multi-Fidelity Digital Twins: a Means for Better Cyber-Physical Systems Testing?
Adaptive Traffic Signal Control for Developing Countries Using Fused Parameters Derived from Crowd-Source Data
Improving Performance of Speaker Identification System Using Complementary Information Fusion
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
High Probability Convergence of Adam Under Unbounded Gradients and Affine Variance Noise
Coexistence Analysis between Radar and Cellular System in LoS Channel
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Irreducible subcube partitions
Stabilized isogeometric formulation of the Stokes problem on overlapping patches
Programmatic Representation Learning with Language Models
Optimizing Quantum Search with a Binomial Version of Grover's Algorithm
On Synchronous and Asynchronous Monitor Instrumentation for Actor-based systems
On the monotonicity of discrete entropy for log-concave random vectors on Z d
Panoptic-based Image Synthesis
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models
Towards Computer-Using Personal Agents
Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
Multimodal Memory Modelling for Video Captioning
Anomaly Detection in Wireless Sensor Networks
CELI: Controller-Embedded Language Model Interactions
Semantic Segmentation Alternative Technique: Segmentation Domain Generation
FODT: Fast, Online, Distributed and Temporary Failure Recovery Approach for MEC
The Multi-Branched Method of Moments for Queueing Networks
A Survey on Space-Time Turbo Codes
Categorical Invariants of Learning Dynamics
UVRM: A Scalable 3D Reconstruction Model from Unposed Videos
MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision
Unsupervised Adversarially-Robust Representation Learning on Graphs
Eight Fifth Approximation for TSP Paths
Inf-sup condition and locking: Understanding and circumventing. Stokes, Laplacian, bi-Laplacian, Kirchhoff-Love and Mindlin-Reissner locking type, boundary conditions
Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
Efficient and Accurate Algorithms for Solving the Bethe-Salpeter Eigenvalue Problem for Crystalline Systems
On the Evaluation and Comparison of Taggers: The Effect of Noise in Testing Corpora
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification
Hybrid Quantum-Classical Learning for Multiclass Image Classification
Taming Uncertainty in the Assurance Process of Self-Adaptive Systems: a Goal-Oriented Approach
New Schemes for Solving the Principal Eigenvalue Problems of Perron-like Matrices via Polynomial Approximations of Matrix Exponentials
Heterogeneity-Aware Federated Learning
Triplet Online Instance Matching Loss for Person Re-identification
Biot model with generalized eigenvalue problems for scalability and robustness to parameters
School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs
A Survey of Generative Categories and Techniques in Multimodal Large Language Models
A N-Body Solver for Free Mesh Interpolation
Characterizing Prompt Compression Methods for Long Context Inference
Multicalibration for LLM-based Code Generation
Towards Cross-View Point Correspondence in Vision-Language Models
Phase-incorporating Speech Enhancement Based on Complex-valued Gaussian Process Latent Variable Model
Agent-driven Generative Semantic Communication for Remote Surveillance
Addressing the Free-Rider Problem in Public Transport Systems
A Variant of Gerdt's Algorithm for Computing Involutive Bases
Challenges with Automation in Digital Forensic Investigations
Language-based Abstractions for Dynamical Systems
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
ChatGPT & Mechanical Engineering: Examining performance on the FE Mechanical Engineering and Undergraduate Exams
Small Object Detection using Deep Learning
A Low Cost Distributed Computing Approach to Pulsar Searches at a Small College
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models
A method for locally approximating regularized iterative tomographic reconstruction methods
RAPID: An Efficient Reinforcement Learning Algorithm for Small Language Models
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks
Metasurface-based Spectral Convolutional Neural Network for Matter Meta-imaging
Sorting the Babble in Babel: Assessing the Performance of Language Detection Algorithms on the OpenAlex Database
Domain Adaptation with Morphologic Segmentation
Deep Ensemble as a Gaussian Process Approximate Posterior
Fine-Grained Behavior and Lane Constraints Guided Trajectory Prediction Method
A Relation-Interactive Approach for Message Passing in Hyper-relational Knowledge Graphs
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL
High order finite volume schemes with IMEX time stepping for the Boltzmann model on unstructured meshes
Cooperative Deterministic Learning-Based Formation Control for a Group of Nonlinear Mechanical Systems Under Complete Uncertainty
GerAPlanO - A new building design tool: design generation, thermal assessment and performance optimization
Truly Subquadratic Time Algorithms for Diameter and Related Problems in Graphs of Bounded VC-dimension
Computational pseudorandomness, the wormhole growth paradox, and constraints on the AdS/CFT duality
Abelian and stochastic sandpile models on complete bipartite graphs
Searching Data: A Review of Observational Data Retrieval Practices
On the optimality of a L1/L1 solver for sparse signal recovery from sparsely corrupted compressive measurements
RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
Radial basis approximation of tensor fields on manifolds: From operator estimation to manifold learning
A Contracting Hierarchical Observer for Pose-Inertial Fusion
Improved Linear Programming Bounds on Sizes of Constant-Weight Codes
Scalable BGP Prefix Selection for Effective Inter-domain Traffic Engineering
CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions
Human-Robot Interaction Conversational User Enjoyment Scale (HRI CUES)
Universal Activation Function For Machine Learning
Dynamic Sleep Control in Green Relay-Assisted Networks for Energy Saving and QoS Improving
Threshold Martingales and the Evolution of Forecasts
Understanding the Principles of Recursive Neural networks: A Generative Approach to Tackle Model Complexity
Rapid Mismatch Estimation via Neural Network Informed Variational Inference
Trajectories of Islamophobic hate amongst far right actors on Twitter
A recursive eigenspace computation for the Canonical Polyadic decomposition
Machine learning models for determination of weldbead shape parameters for gas metal arc welded T-joints - A comparative study
Exact and heuristic methods for the discrete parallel machine scheduling location problem
Privacy of Aggregated Data without Noise
Exponential Lower Bound for 2-Query Locally Decodable Codes via a Quantum Argument
Continual Learning in the Presence of Spurious Correlation
Agent-Environment Alignment via Automated Interface Generation
Fast and Optimal Adaptive Tracking Control: A Novel Meta-Reinforcement Learning via Conditional Generative Adversarial Net
Iterative Self-consistent Parallel Magnetic Resonance Imaging Reconstruction based on Nonlocal Low-Rank Regularization
Generalized Lottery Trees: Budget-Consistent Incentive Tree Mechanisms for Crowdsourcing
A simple proof of three properties on Simpson's 4-slot Algorithm
An Agile Formal Specification Language Design Based on K Framework
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention
Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method
A domain-specific language for the hybridization and static condensation of finite element methods
FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
Parameterised algorithms for temporal reconfiguration problems
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment
Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks
LIMR: Less is More for RL Scaling
Reproducibility in the Control of Autonomous Mobility-on-Demand Systems
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
Learning-Assisted Competitive Algorithms for Peak-Aware Energy Scheduling
A lower bound on the 2-adic complexity of Ding-Helleseth generalized cyclotomic sequences of period p n
Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
Towards a semantic and statistical selection of association rules
D-iteration method or how to improve Gauss-Seidel method
B2N3D: Progressive Learning from Binary to N-ary Relationships for 3D Object Grounding
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks
Anomaly Detection in Emails using Machine Learning and Header Information
Causal Campbell-Goodhart's law and Reinforcement Learning
Proceedings Tenth International Workshop on Graph Computation Models, GCM@STAF 2019, Eindhoven, The Netherlands, 17th July 2019
Parameters of Combinatorial Neural Codes
ROS-related Robotic Systems Development with V-model-based Application of MeROS Metamodel
The Akhiezer iteration
Diffusion Approximations for a Class of Sequential Testing Problems
Understanding Deep Neural Networks Using Topological Data Analysis
The Personal Software Process, Experiences from Denmark
Context-Augmented Software Development Projects: Literature Review and Preliminary Framework
Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-based Intrusion Detection System
Transducer Synthesis from Universal Register Automata in (N, >)
Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning
Iterative Joint Parameters Estimation and Decoding in a Distributed Receiver for Satellite Applications and Relevant Cramer-Rao Bounds
A kinetic traffic network model and its macroscopic limit: diverging lanes
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations
An Efficient PGD Solver for Structural Dynamics Applications
Particle Filter on Episode
Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions
Greedy Sequential Maximal Independent Set and Matching are Parallel on Average
ReactionT5: a large-scale pre-trained model towards application of limited reaction data
A Tight Linearization Strategy for Zero-One Quadratic Programming Problems
Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
Multilingual lexicon design tool and database management system for MT
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Dichotomy for orderings?
Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking
Automatic analysis of Categorical Verbal Fluency for Mild Cognitive Impartment detection: a non-linear language independent approach
KScaNN: Scalable Approximate Nearest Neighbor Search on Kunpeng
WeCKD: Weakly-supervised Chained Distillation Network for Efficient Multimodal Medical Imaging
The Two Regimes of Deep Network Training