yusuke1997/dblp-id-title huggingface dataset:
CURVALID: Geometrically-guided Adversarial Prompt Detection
Raising Expectations: Automating Expected Cost Analysis with Types
Camera View Adjustment Prediction for Improving Image Composition
Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction
A static theory of promises
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning
Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling
Deploy-As-You-Go Wireless Relay Placement: An Optimal Sequential Decision Approach using the Multi-Relay Channel Model
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network
An experimental approach: The graph of graphs
Periodic Pólya urns and an application to Young tableaux
Flat combined Red Black Trees
On the Matrix Form of the Quaternion Fourier Transform and Quaternion Convolution
Information Coverage Maximization in Social Networks
PACSBO: Probably approximately correct safe Bayesian optimization
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference
Differentially Private In-Context Learning
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning
Reservoir Computing using Cellular Automata
Knowledge-Driven Game Design by Non-Programmers
From Coefficients to Directions: Rethinking Model Merging with Directional Alignment
Inland Waterway Object Detection in Multi-environment: Dataset and Approach
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
Insight into Primal Augmented Lagrangian Multilplier Method
A linear time algorithm to cover and hit a set of line segments optimally by two axis-parallel squares
Security Threats in MANETS : A Review
Covering Sequences for 𝓁-Tuples
Surrogate Benchmarks for Model Merging Optimization
Photonic extreme learning machine by free-space optical propagation
Algorithms of an optimal integer tree labeling
Pushing Hypercubes Around
Cross-layer Formal Verification of Robotic Systems
Development of Tool for Mapping Conventional Circuit to Reversible Logic
Schrödingerisation based computationally stable algorithms for ill-posed problems in partial differential equations
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models
DeepMIDE: A Multivariate Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting
Linear Convergence of SVRG in Statistical Estimation
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision
Qudits offer no advantages over dits for sending random messages
Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs
Rethinking the Influence of Source Code on Test Case Generation
Realization of Lattice Formation in Nonlinear Two-dimensional Potential by Mobile Robots
Geometry-Preserving Encoder/Decoder in Latent Generative Models
SPH-EXA: Enhancing the Scalability of SPH codes Via an Exascale-Ready SPH Mini-App
Query Embedding on Hyper-relational Knowledge Graphs
Behavior patterns of online users and the effect on information filtering
Wireless Avionics Intra-Communications: A Survey of Benefits, Challenges, and Solutions
Plex: Towards Reliability using Pretrained Large Model Extensions
Seeding the Initial Population of Multi-Objective Evolutionary Algorithms: A Computational Study
Lightweight Federated Learning in Mobile Edge Computing with Statistical and Device Heterogeneity Awareness
Boosting Adversarial Transferability with Learnable Patch-wise Masks
See, Plan, Cut: MPC-Based Autonomous Volumetric Robotic Laser Surgery with OCT Guidance
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
Three Candidate Plurality is Stablest for Correlations at most 1/11
Generative Replay-based Continual Zero-Shot Learning
Three Laws of Technology Rise or Fall
Residual Graph Convolutional Recurrent Networks For Multi-step Traffic Flow Forecasting
Approximating the Chromatic Polynomial
Learning to Rank Academic Experts in the DBLP Dataset
A Lifting Construction for Scalar Linear Index Codes
Unveiling Inference Scaling for Difference-Aware User Modeling in LLM Personalization
Finding the white male: The prevalence and consequences of algorithmic gender and race bias in political Google searches
Confidence Calibration in Large Language Model-Based Entity Matching
Joint Channel Estimation and Pilot Allocation in Underlay Cognitive MISO Networks
Analyzing Multifiltering Functions Using Multiparameter Discrete Morse Theory
Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent
"The tail wags the dog": A study of anomaly detection in commercial application performance
Design and implementation of a differentiated service based qos model for real-time interactive traffic on constrained bandwidth ip networks
Using Wikipedia Editor Information to Build High-performance Recommender Systems
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger Agents
Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory
SiamGPT: Quality-First Fine-Tuning for Stable Thai Text Generation
Macro F1 and Macro F1
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach
A posteriori error estimates of Darcy flows with Robin-type jump interface conditions
GUICourse: From General Vision Language Models to Versatile GUI Agents
Quality-factor inspired deep neural network solver for solving inverse scattering problems
Diverse Motion In-betweening with Dual Posture Stitching
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance
Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
Can Large Language Models Write Good Property-Based Tests?
A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling
Randomized kernels for large scale Earth observation applications
Gomory-Hu Trees in Quadratic Time
GMC - Geometric Multimodal Contrastive Representation Learning
A General Framework for the Recognition of Online Handwritten Graphics
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
Method Decoration (DeMe): A Framework for LLM-Driven Adaptive Method Generation in Dynamic IoT Environments
Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction
Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers
Prediction in the presence of response-dependent missing labels
Mandelbrot Law of Evolving Networks
Assuring Autonomous Systems: Opportunities for Integrated Formal Methods?
Development and Implementation of a Dashboard for Diabetes Care Management in OpenMRS
Fitting Ontologies and Constraints to Relational Structures
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection
Exact Identification of a Quantum Change Point
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints
Context-aware Risk Assessment and Its Application in Autonomous Driving
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks
Edge service resource allocation strategy based on intelligent prediction
Sound and Complete Bidirectional Typechecking for Higher-Rank Polymorphism with Existentials and Indexed Types
Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
Sabiá-2: A New Generation of Portuguese Large Language Models
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
Treewidth reduction for constrained separation and bipartization problems
Active Laser-Camera Scanning for High-Precision Fruit Localization in Robotic Harvesting: System Design and Calibration
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Iterative Approaches to Row Sampling
Achieving Meaningful Collaboration: Worker-centered Design of a Physical Human-Robot Collaborative Blending Task
Adversarial blockchain queues and trading on a CFMM
From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks
Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents
Utilising Graph Machine Learning within Drug Discovery and Development
Riemannian Optimization for LoRA on the Stiefel Manifold
Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network
Nonlinear Feedback Linearization and LQG/LTR Control: A Comparative Study for a Single-Machine Infinite-Bus System
Neuromuscular Control of the Face-Head-Neck Biomechanical Complex With Learning-Based Expression Transfer From Images and Videos
Applying Memory Forensics to Rootkit Detection
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning
Complex polynomials in engineering
AROMA: Automatic Generation of Radio Maps for Localization Systems
Development of application for discovering and binding to published geospatial processes in distributed environments
Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
Distinguishing Cause from Effect Based on Exogeneity
Aspect-Based Sentiment Analysis in Education Domain
A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks
Game-theoretic LLM: Agent Workflow for Negotiation Games
Exploring learning environments for label-efficient cancer diagnosis
An Overview of Multiple Sequence Alignment Systems
Leveraging Technology for Healthcare and Retaining Access to Personal Health Data to Enhance Personal Health and Well-being
Evolving SimGANs to Improve Abnormal Electrocardiogram Classification
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding
Dialogue Games for Benchmarking Language Understanding: Motivation, Taxonomy, Strategy
On the Expressive Power of Modern Hopfield Networks
Satellite Constellation Design Methodology for Optimal Regional Coverage
Levels of Analysis for Machine Learning
Five-Nines Reliable Downward Routing in RPL
CoMadOut - A Robust Outlier Detection Algorithm based on CoMAD
A complexity dichotomy for poset constraint satisfaction
PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection
Several Consequences of Optimality
DIRECT: Deep Active Learning under Imbalance and Label Noise
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning
Physics-guided adversarial networks for artificial digital image correlation data generation
RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
Human Values in Mobile App Development: An Empirical Study on Bangladeshi Agriculture Mobile Apps
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
Modelling prosodic structure using Artificial Neural Networks
Complexity of Grammar Induction for Quantum Types
Gradient Normalization & Depth Based Decay For Deep Learning
A fast and integrative algorithm for clustering performance evaluation in author name disambiguation
Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods
An Overflow Free Fixed-point Eigenvalue Decomposition Algorithm: Case Study of Dimensionality Reduction in Hyperspectral Images
GANtruth - an unpaired image-to-image translation method for driving scenarios
LagNetViP: A Lagrangian Neural Network for Video Prediction
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
Multi-resource allocation for federated settings: A non-homogeneous Markov chain model
Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks
Coding Agents with Multimodal Browsing are Generalist Problem Solvers
Integrating External Tools with Large Language Models to Improve Accuracy
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space
Safe trajectory of a piece moved by a robot
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning
Permutation Code Equivalence is not Harder than Graph Isomorphism when Hulls are Trivial
LSSD: a Controlled Large JPEG Image Database for Deep-Learning-based Steganalysis "into the Wild"
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning
Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
Uncovering Latent Style Factors for Expressive Speech Synthesis
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs
A Weighted Randomized Kaczmarz Method for Solving Linear Systems
Discovering Transmission Dynamics of COVID-19 in China
Efficient sequential compression of multi-channel biomedical signals
FemtoSats for Exploring Permanently Shadowed Regions on the Moon
Knowledge-enhanced Pre-training for Auto-diagnosis of Chest Radiology Images
Stochastic Optimal Control via Measure Relaxations
Deep unfolding of the weighted MMSE beamforming algorithm
Language Acquisition is Embodied, Interactive, Emotive: a Research Proposal
Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing
Learning Fuzzy β-Certain and β-Possible rules from incomplete quantitative data by rough sets
An ontology-aided, natural language-based approach for multi-constraint BIM model querying
An Empirical Study on the Robustness of NAS based Architectures
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Automatic inference of a anatomically meaningful solid wood texture from a single photograph
Improving Multilingual Math Reasoning for African Languages
Stability of Skorokhod problem is undecidable
Fuchsian codes for AWGN channels
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
Pairwise Comparison Evolutionary Dynamics with Strategy-Dependent Revision Rates: Stability and Delta-Passivity (Expanded Version)
Reverse derivative categories
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
The Herbrand Functional Interpretation of the Double Negation Shift
Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging
The Zamba2 Suite: Technical Report
Not All Fluctuations are Created Equal: Spontaneous Variations in Thermodynamic Function
Alpha Blending with No Division Operations
Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes
Terahertz-Enpowered Communications and Sensing in 6G Systems: Opportunities and Challenges
Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios
CycleQ: An Efficient Basis for Cyclic Equational Reasoning
Assuring Increasingly Autonomous Systems in Human-Machine Teams: An Urban Air Mobility Case Study
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification
Using ECC DRAM to Adaptively Increase Memory Capacity
Union: A Trust-minimized Bridge for Rootstock
AMDNet23: A combined deep Contour-based Convolutional Neural Network and Long Short Term Memory system to diagnose Age-related Macular Degeneration
Branching Bisimilarity for Processes with Time-outs
Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
Modelling Biological and Ecological Systems with the Calculus of Wrapped Compartments
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
Does Scaling Law Apply in Time Series Forecasting?
Restructuring expression dags for efficient parallelization
On Maximizing Information Reliability in Wireless Powered Cooperative Networks
DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision
Synthesizing Consistent Novel Views via 3D Epipolar Attention without Re-Training
Unifying Event Detection and Captioning as Sequence Generation via Pre-Training
Bounding the optimal rate of the ICSI and ICCSI problem
Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
Lite-Mind: Towards Efficient and Versatile Brain Representation Network
A Comprehensive Analytical Review on Cybercrime in West Africa
Quantum-Enhanced Selection Operators for Evolutionary Algorithms
A simple DNN regression for the chemical composition in essential oil
Direct Monocular Odometry Using Points and Lines
A drug classification pipeline for Medicaid claims using RxNorm
Cluster structure of optimal solutions in bipartitioning of small worlds
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning
Locally-Contextual Nonlinear CRFs for Sequence Labeling
AccSS3D: Accelerator for Spatially Sparse 3D DNNs
A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework
αVIL: Learning to Leverage Auxiliary Tasks for Multitask Learning
Structureless VIO
Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning
Achievable Degrees of Freedom of the K-user MISO Broadcast Channel with Alternating CSIT via Interference Creation-Resurrection
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback
GIPA++: A General Information Propagation Algorithm for Graph Learning
Safe Model Predictive Diffusion with Shielding
mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations
Throughput Optimal On-Line Algorithms for Advanced Resource Reservation in Ultra High-Speed Networks
Do we still need canaries in the coal mine? Measuring shadow stack effectiveness in countering stack smashing
Segmentation of Soft atherosclerotic plaques using active contour models
Code Similarity on High Level Programs
Understanding mobility in a social petri dish
One-class systems seamlessly fit in the forward-forward algorithm
A geometry based algorithm for dynamical low-rank approximation
RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks
AutoICE: Automatically Synthesizing Verifiable C Code via LLM-driven Evolution
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
PipeFusion: Displaced Patch Pipeline Parallelism for Inference of Diffusion Transformer Models
Optimal trajectory tracking
A Stackelberg Game Perspective on the Conflict Between Machine Learning and Data Obfuscation
A Finite Memory Interacting Pólya Contagion Network and its Approximating Dynamical Systems
Online Graph Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
Ensemble Method for Censored Demand Prediction
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
Ultra-dense LEO: Integrating Terrestrial-Satellite Networks into 5G and Beyond for Data Offloading
High-Spatial Resolution Transmission and Storage Expansion Planning for High Renewable Grids: A Case Study
Continuous Defect Prediction: The Idea and a Related Dataset
Experimental demonstrations of unconditional security in a purely classical regime
Learning Graph Algorithms With Recurrent Graph Neural Networks
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
Penn & Slavery Project's Augmented Reality Tour: Augmenting a Campus to Reveal a Hidden History
MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds
A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems
A feature selection method based on Shapley values robust to concept shift in regression
Deep Learning for Generalised Planning with Background Knowledge
Measuring Personalization of Web Search
Sparse approximate inverses of Gramians and impulse response matrices of large-scale interconnected systems
A Concentration Bound for LSPE(λ)
A Survey on Joint Object Detection and Pose Estimation using Monocular Vision
Optimal convergence rate of modified Milstein scheme for SDEs with rough fractional diffusions
An Introduction to Knowledge Management
GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents
VaLID: Variable-Length Input Diffusion for Novel View Synthesis
Δ-Nets: Interaction-Based System for Optimal Parallel λ-Reduction
Deep Learning Based RIS Channel Extrapolation with Element-grouping
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection
Overview of contemporary systems driven by open-design movement
Fully Automatic, Verified Classification of all Frankl-Complete (FC(6)) Set Families
Allee Synaptic Plasticity and Memory
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
A Direct Integral Pseudospectral Method for Solving a Class of Infinite-Horizon Optimal Control Problems Using Gegenbauer Polynomials and Certain Parametric Maps
Time-Reversible Bridges of Data with Machine Learning
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
The Reliability Value of Storage in a Volatile Environment
Tight Bounds On the Distortion of Randomized and Deterministic Distributed Voting
UniLoc: Towards Universal Place Recognition Using Any Single Modality
Human-Object Interaction from Human-Level Instructions
Affine Transformations of Loop Nests for Parallel Execution and Distribution of Data over Processors
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations
A Connection Between Score Matching and Local Intrinsic Dimension
The ACCompanion v0.1: An Expressive Accompaniment System
Time- and Space-Efficient Evaluation of Some Hypergeometric Constants
Insights from Generative Modeling for Neural Video Compression
A Brief Prehistory of Double Descent
Retrieval Augmented Generation based Large Language Models for Causality Mining
Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline
From the Skin-Depth Equation to the Inverse RFEC Sensor Model
Simulation and Optimization of Content Delivery Networks considering User Profiles and Preferences of Internet Service Providers
Data Mapping for Restricted Boltzmann Machine
How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy
ManiCLIP: Multi-Attribute Face Manipulation from Text
Dimension reduction and redundancy removal through successive Schmidt decompositions
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning