yusuke1997/dblp-id-title huggingface dataset:
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing
Large permutations and parameter testing
Lost in Space: Optimizing Tokens for Grammar-Constrained Decoding
VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems
Detecting and Correcting Speech Repairs
A Halo Merger Tree Generation and Evaluation Framework
A Novel Map of Knowledge for Science
An Application of the Holonomic Gradient Method to the Neural Tangent Kernel
The Parameters of Educability
Augmenting a Firefighters PPE - Gas Mask SCBA
Distributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment
Scheduling Agile Earth Observation Satellites with Onboard Processing and Real-Time Monitoring
Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards
Convergence of Discontinuous Galerkin Methods for Quasiconvex and Relaxed Variational Problems
Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting
Improved Shortest Path Maps with GPU Shaders
Where Do LLMs Still Struggle? An In-Depth Analysis of Code Generation Benchmarks
Dimension Independent Data Sets Approximation and Applications to Classification
Correspondences between Classical, Intuitionistic and Uniform Provability
Cube Bench: A Benchmark for Spatial Visual Reasoning in MLLMs
Interpretable Machine Learning Models for the Digital Clock Drawing Test
The Finite Neuron Method and Convergence Analysis
Dominance and Deficiency for Petri Nets and Chemical Reaction Networks
Methods of executable code protection
On the Application of Link Analysis Algorithms for Ranking Bipartite Graphs
Layered Clause Selection for Theory Reasoning
NODI: Out-Of-Distribution Detection with Noise from Diffusion
Balancing physical modeling and musical requirements: Algorithmically simulating the calls of Hyalessa maculaticollis for real-time instrumental control
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUs
Block Designs and K-Geodetic Graphs: A Survey
Linear Galerkin-Legendre spectral scheme for a degenerate nonlinear and nonlocal parabolic equation arising in climatology
Detection of AI Synthesized Hindi Speech
Discounted Pseudocosts in MILP
Objective Caml for Multicore Architectures
Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment
Systematization of a 256-bit lightweight block cipher Marvin
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results
Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
Characterising Robust Instances of Ultimate Positivity for Linear Dynamical Systems
Secure Source Coding with a Public Helper
Improved FPT Algorithms for Deletion to Forest-like Structures
Cycloidal Quasi-Direct Drive Actuator Designs with Learning-based Torque Estimation for Legged Robotics
PowerNet: Neural Power Demand Forecasting in Smart Grid
Revisiting XOR-based Network Coding for Energy Efficient Broadcasting in Mobile Ad Hoc Networks
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Loss Rate Inference in Multi-Sources and Multicast-Based General Topology
N 4 -Fields: Neural Network Nearest Neighbor Fields for Image Transforms
Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules
World-Coordinate Human Motion Retargeting via SAM 3D Body
Robust Document Representations using Latent Topics and Metadata
NurseSchedRL: Attention-Guided Reinforcement Learning for Nurse-Patient Assignment
On Security Strategies for Addressing Potential Vulnerabilities in 6G Technologies Deployable in Healthcare
Learning Dynamic Manipulation Skills from Haptic-Play
Drifts and Shifts: Characterizing the Evolution of Users Interests on Reddit
TextIM: Part-aware Interactive Motion Synthesis from Text
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
A variationally consistent membrane wrinkling model based on tension-compression decomposition of the strain tensor
Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor
Enhancing Evacuation Safety: Detecting Post-Nuclear Event Radiation Levels in an Urban Area
Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings
Arbitrarily high-order conservative schemes for the generalized Korteweg-de Vries equation
Size Adaptive Region Based Huffman Compression Technique
CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Impact-Aware Robotic Manipulation: Quantifying the Sim-To-Real Gap for Velocity Jumps
Smart Switching and Control of a Distributed Generator Synchronized With National Grid
Inferring feature importance with uncertainties in high-dimensional data
UniREx: A Unified Learning Framework for Language Model Rationale Extraction
LIGHTYEAR: Using Modularity to Scale BGP Control Plane Verification
Learning by Aligning 2D Skeleton Sequences in Time
Constructing games on networks for controlling the inequalities in the capital distribution
HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
NAVER LABS Europe Submission to the Instruction-following Track
Using Graph Convolutional Networks to Address fMRI Small Data Problems
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Locally Non-linear Embeddings for Extreme Multi-label Learning
Polynomial Approximation to the Inverse of a Large Matrix
Empirical Bayes approach to Truth Discovery problems
Security Analysis of EOSIO Smart Contracts
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
Convolutional Neural Networks for Space-Time Block Coding Recognition
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns
Foveated Rendering: a State-of-the-Art Survey
Predicting Directionality in Causal Relations in Text
Balancing Lifetime and Classification Accuracy of Wireless Sensor Networks
Teaching Higher-Order Logic Using Isabelle
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
NMPC-Lander: Nonlinear MPC with Barrier Function for UAV Landing on a Mobile Platform
A new lower bound on Hadwiger-Debrunner numbers in the plane
Change-of-Basis Pruning via Rotational Invariance
Playing The Ethics Card: Ethical Aspects In Design Tools For Inspiration And Education
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
Sampling-based Buffer Insertion for Post-Silicon Yield Improvement under Process Variability
A magnetic oriented approach to the systematic coupling of field and circuit equations
On the Parameterization of Stabilizing Controllers using Closed-loop Responses
Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data
Efficient course recommendations with T5-based ranking and summarization
Illumination Estimation Challenge: experience of past two years
Convolution Neural Networks for diagnosing colon and lung cancer histopathological images
On Tsallis Entropy Bias and Generalized Maximum Entropy Models
The Study of Urban Residential's Public Space Activeness using Space-centric Approach
Temporalizing digraphs via linear-size balanced bi-trees
Balancing-based model reduction for switched descriptor systems
Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls
Unrolled Architectures for High-Throughput Encoding of Multi-Kernel Polar Codes
A Study and Analysis of Manuscript Publications in the Open Access Journals
Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy
LLM-Driven Transient Stability Assessment: From Automated Simulation to Neural Architecture Design
Learning Personalized Representations using Graph Convolutional Network
Open problems and perspectives on solving Friedrichs systems by Krylov approximation
Learning for Dynamic Bidding in Cognitive Radio Resources
Virtual element method for elliptic bulk-surface PDEs in three space dimensions
Energy Efficient Resource Allocation for Time-Varying OFDMA Relay Systems with Hybrid Energy Supplies
Modelling cooperating failure-resilient Processes
The thermodynamics of human reaction times
On the Weight Distribution of Weights Less than 2w min in Polar Codes
Solving linear program with Chubanov queries and bisection moves
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation
Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning
Uncorrelated binary sequences of lengths 2a3b4c5d7e11f13g based on nested Barker codes and complementary sequences
Clustering With Pairwise Relationships: A Generative Approach
The transversality conditions for infinite-horizon optimal control problem with a free right endpoint and the stability of the adjoint variable (in Russian)
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness
Machine Learning in Micromobility: A Systematic Review of Datasets, Techniques, and Applications
Refined Transformation Approach for Stabilization of MIMO System by Pole Placement
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment
Lower bounds on the lifting degree of single-edge and multiple-edge QC-LDPC codes by difference matrices
MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks
Efficient Cybersecurity Assessment Using SVM and Fuzzy Evidential Reasoning for Resilient Infrastructure
Intelligent Reflecting Surface assisted Integrated Sensing and Communication System
Models of Linear Logic based on the Schwartz ε-product
Analysis and Implementation of a Hourly Billing Mechanism for Demand Response Management
Fostering of innovative usability testing to develop mobile application for mobile collaborative learning (MCL)
Probabilistic Approach to Neural Networks Computation Based on Quantum Probability Model Probabilistic Principal Subspace Analysis Example
Broadcast in radio networks: time vs. energy tradeoffs
Robust multiuser detection in impulsive channels based on M-estimation using a new penalty function
iCub Detecting Gazed Objects: A Pipeline Estimating Human Attention
Type Prediction With Program Decomposition and Fill-in-the-Type Training
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Exploring task-based query expansion at the TREC-COVID track
The Association Between SOC and Land Prices Considering Spatial Heterogeneity Based on Finite Mixture Modeling
Assessing the Answerability of Queries in Retrieval-Augmented Code Generation
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
Constrained Machine Learning: The Bagel Framework
Interactions as Social Practices: towards a formalization
Gradient-free neural topology optimization
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Probabilistic Automata over Infinite Words: Expressiveness, Efficiency, and Decidability
A New Technique to Backup and Restore DBMS using XML and .NET Technologies
A temporal logic approach to modular design of synthetic biological circuits
Deconvolution Using Projections Onto The Epigraph Set of a Convex Cost Function
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
Validating an Instrument for Teachers' Acceptance of Artificial Intelligence in Education
Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil
MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion
Open-Source High-Speed Flight Surrogate Modeling Framework
LitePT: Lighter Yet Stronger Point Transformer
Maximizing Sums of Non-monotone Submodular and Linear Functions: Understanding the Unconstrained Case
Formal Verification with Constrained Polynomial Logical Zonotope
The Influence of Commercial Intent of Search Results on Their Perceived Relevance
Spatio-Temporal Relation Learning for Video Anomaly Detection
User-Sensitive Mobile Interfaces: Accounting for Individual Differences amongst the Blind
DPPA: Pruning Method for Large Language Model to Model Merging
Matrix-Free Higher-Order Finite Element Methods for Hyperelasticity
MaskedFace-Net - A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
Deep Metric Learning with Soft Orthogonal Proxies
Diffusion and consensus on weakly connected directed graphs
Rivendell: Project-Based Academic Search Engine
Fairness Hub Technical Briefs: AUC Gap
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
SEA-PARAM: Exploring Schedulers in Parametric MDPs
A Review on Large Language Models for Visual Analytics
A Large-scale Dataset for Audio-Language Representation Learning
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds
Learned Off-aperture Encoding for Wide Field-of-view RGBD Imaging
Decentralised Resource Allocation and Coordination for 5G Cellular Communication Networks
MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale
Japanese SimCSE Technical Report
Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs
Semi-Counterfactual Risk Minimization Via Neural Networks
Video to Music Moment Retrieval
Online abstraction with MDP homomorphisms for Deep Learning
Structured Uncertainty Similarity Score (SUSS): Learning a Probabilistic, Interpretable, Perceptual Metric Between Images
A statistical approach to the traceroute-like exploration of networks: theory and simulations
Correctness-Guaranteed Code Generation via Constrained Decoding
Modular Robot Control with Motor Primitives
Don't do it: Safer Reinforcement Learning With Rule-based Guidance
Floralens: a Deep Learning Model for the Portuguese Native Flora
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization
Optimal Structure of Robust Linear Transceiver for Amplify-and-Forward Multi-Hop MIMO Relaying Systems
Dissociating language and thought in large language models: a cognitive perspective
Numerical Modelling of Crack Initiation, Propagation and Branching under Dynamic Loading
GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration
Real-valued parametric conditioning of an RNN for interactive sound synthesis
Few-Shot Drum Transcription in Polyphonic Music
Towards Long-Term predictions of Turbulence using Neural Operators
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells
Numerical Approaches for Linear Left-invariant Diffusions on SE(2), their Comparison to Exact Solutions, and their Applications in Retinal Imaging
Plug-and-play ISTA converges with kernel denoisers
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better
Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion
TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation
Random Vector Functional Link Neural Network based Ensemble Deep Learning
Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives
Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks
Resilience and Load Balancing in Fog Networks: A Multi-Criteria Decision Analysis Approach
SSH-Passkeys: Leveraging Web Authentication for Passwordless SSH
Simplex-Optimized Hybrid Ensemble for Large Language Model Text Detection Under Generative Distribution Drif
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Sliding window property testing for regular languages
Separation Logic for Small-step Cminor
Exploration of Gender Differences in COVID-19 Discourse on Reddit
Investigation of Advanced Persistent Threats Network-based Tactics, Techniques and Procedures
Evaluating Sakana's AI Scientist for Autonomous Research: Wishful Thinking or an Emerging Reality Towards 'Artificial Research Intelligence' (ARI)?
A New Approach to Complex Dynamic Geofencing for Unmanned Aerial Vehicles
Federated Learning of Large Models at the Edge via Principal Sub-Model Training
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion
Optimizing Robotic Placement via Grasp-Dependent Feasibility Prediction
Semi-analytic PINN methods for singularly perturbed boundary value problems
HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER
PPFlow: Target-aware Peptide Design with Torsional Flow Matching
Investigating the Readability of Test Code: Combining Scientific and Practical Views
Local Kernels that Approximate Bayesian Regularization and Proximal Operators
Comparison of Syntactic Parsers on Biomedical Texts
People-centric computing and communications in Smart Cities
Stakeholders in Explainable AI
Asymptotic entropic uncertainty relations
On Cycles of Generalized Collatz Sequences
NeuroVascU-Net: A Unified Multi-Scale and Cross-Domain Adaptive Feature Fusion U-Net for Precise 3D Segmentation of Brain Vessels in Contrast-Enhanced T1 MRI
Polynomial magic! Hermite polynomials for private data generation
BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models
Geometric Median in Nearly Linear Time
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint
Differential Information: An Information-Theoretic Perspective on Preference Optimization
Combinatorial Nullstellensatz Techniques
Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
ARNet: Automatic Refinement Network for Noisy Partial Label Learning
Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene Synthesis
From Fields to Splats: A Cross-Domain Survey of Real-Time Neural Scene Representations
Semantic-aware Network for Aerial-to-Ground Image Synthesis
No Mesh, No Problem: Estimating Coral Volume and Surface from Sparse Multi-View Images
Transformers as Recognizers of Formal Languages: A Survey on Expressivity
Token-Importance Guided Direct Preference Optimization
Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications
Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining
Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning
Quantum Circuits for the Black-Scholes equations via Schrödingerisation
Multi-Task Reinforcement Learning Enables Parameter Scaling
Progress and limitations of deep networks to recognize objects in unusual poses
Tight Efficiency Bounds for the Probabilistic Serial Mechanism under Cardinal Preferences
"Oddball SGD": Novelty Driven Stochastic Gradient Descent for Training Deep Neural Networks
An Analysis of the Recent Visibility of the SigDial Conference
Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storage
Deeply-Learned Generalized Linear Models with Missing Data
An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication
A utility-based spatial analysis of residential street-level conditions; A case study of Rotterdam
Towards Plug'n Play Task-Level Autonomy for Robotics Using POMDPs and Generative Models
ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles
Cone Crusher Model Identification Using Block-Oriented Systems with Orthonormal Basis Functions
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory
Learning Trees of 𝓁 0 -Minimization Problems
RegGuard: Leveraging CPU Registers for Mitigation of Control- and Data-Oriented Attacks
Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking
Using deep neural networks to detect non-analytically defined expert event labels in canoe sprint force sensor signals
Shared-memory Exact Minimum Cuts
Lattice Quantization with Side Information: Codes, Asymptotics, and Applications in Sensor Networks
End-2-End COVID-19 Detection from Breath & Cough Audio
Explosive Percolation on Directed Networks Due to Monotonic Flow of Activity
Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
Approximate Majority With Catalytic Inputs
DocAsRef: A Pilot Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely
Graph Distillation for Action Detection with Privileged Information
Quality Assessment of Prompts Used in Code Generation
Eliminating Left Recursion without the Epsilon
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
Use of 'off-the-shelf' information extraction algorithms in clinical informatics: a feasibility study of MetaMap annotation of Italian medical notes
Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images
Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN, A-ESRGAN, and StarSRGAN
Adversarial Generative NMF for Single Channel Source Separation
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
InsightNet: non-contact blood pressure measuring network based on face video
FLASH: Fast All-to-All Communication in GPU Clusters
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
Discriminatory Expressions to Produce Interpretable Models in Microblogging Context
Huygens-Fresnel Model Based Position-Aided Phase Configuration for 1-Bit RIS Assisted Wireless Communication
Algorithms and complexity for monitoring edge-geodetic sets in graphs
Two-level Nyström-Schur preconditioner for sparse symmetric positive definite matrices
An investigation into the causes of race bias in AI-based cine CMR segmentation
Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism
CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention
FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention
DRDCAE-STGNN: An End-to-End Discrimina-tive Autoencoder with Spatio-Temporal Graph Learning for Motor Imagery Classification
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP)