yusuke1997/dblp-id-title huggingface dataset:
Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
New Results on the Fault-Tolerant Facility Placement Problem
Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation model
Towards Effective Complementary Security Analysis using Large Language Models
Dual-Level Compressed Aggregation: Recovering Fields of Physical Quantities from Incomplete Sensory Data
ELMo-Tune-V2: LLM-Assisted Full-Cycle Auto-Tuning to Optimize LSM-Based Key-Value Stores
Tax evasion dynamics and Zaklan model on Opinion-dependent Network
Adaptive Performance Assessment For Drivers Through Behavioral Advantage
Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares
Symbol-Index-Feedback Polar Coding Schemes for Low-Complexity Devices
Lookup subnet based Spatial Graph Convolutional neural Network
Lexicographic transductions of finite words
Programming Language Features for Refinement
Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning
Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification
Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception
From Roots to Rewards: Dynamic Tree Reasoning with RL
ChatGPT in Linear Algebra: Strides Forward, Steps to Go
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI
Proof of Sampling: A Nash Equilibrium-Secured Verification Protocol for Decentralized Systems
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
Unlocking Off-the-Grid Sparse Recovery with Unlimited Sensing: Simultaneous Super-Resolution in Time and Amplitude
Simulating Cardiac Fluid Dynamics in the Human Heart
A Traffic Model for Machine-Type Communications Using Spatial Point Processes
Globalized Robust Markov Perfect Equilibrium for Discounted Stochastic Games and its Application on Intrusion Detection in Wireless Sensor Networks
Improved acoustic-to-articulatory inversion using representations from pretrained self-supervised learning models
Counterexample-guided computation of polyhedral Lyapunov functions for hybrid systems
The Parallel Full Approximation Scheme in Space and Time for a Parabolic Finite Element Problem
Multi-consensus Decentralized Accelerated Gradient Descent
When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution
Path and trajectory planning of a tethered UAV-UGV marsupial robotics system
Assessing the Human-Likeness of LLM-Driven Digital Twins in Simulating Health Care System Trust
LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration
A Hybrid SIE-PDE Formulation Without Boundary Condition Requirement for Electromagnetic Analysis
Deployment of Containerized Simulations in an API-Driven Distributed Infrastructure
A Comparative Approach to Assessing Linguistic Creativity of Large Language Models and Humans
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge
Corrected Trapezoidal Rules for Boundary Integral Equations in Three Dimensions
OLAPH: Improving Factuality in Biomedical Long-form Question Answering
Learning The MMSE Channel Predictor
Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval
A comparative analysis of machine learning algorithms for predicting probabilities of default
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization
Robust Model-Based In-Hand Manipulation with Integrated Real-Time Motion-Contact Planning and Tracking
Statistics of punctuation in experimental literature - the remarkable case of "Finnegans Wake" by James Joyce
Tile-Weighted Rate-Distortion Optimized Packet Scheduling for 360 ⃝ VR Video Streaming
Reinforcement Ranking
Explicit M-Polynomial and Degree-Based Topological Indices of Generalized Hanoi Graphs
A note on how the problem of Partion of Integers show in Caching
A Randomized Algorithm for Preconditioner Selection
Computing the clique number of tournaments
Cross-Lingual Adaptation Using Universal Dependencies
Large Field and High Resolution: Detecting Needle in Haystack
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
RUSH: Robust Contrastive Learning via Randomized Smoothing
Smooth quasi-developable surfaces bounded by smooth curves
Performance Evaluation of Bitstring Representations in a Linear Genetic Programming Framework
FLOreS - Fractional order loop shaping MATLAB toolbox
Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation
Distributed Invariant Kalman Filter for Cooperative Localization using Matrix Lie Groups
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
Multiple Relations Classification using Imbalanced Predictions Adaptation
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Optimal Sensor Placement in Body Surface Networks using Gaussian Processes
Controlled Matching Game for User Association and Resource Allocation in Multi-Rate WLANs
Faster Integer Points Counting in Parametric Polyhedra
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Excluded t-factors in Bipartite Graphs: Unified Framework for Nonbipartite Matchings, Restricted 2-matchings, and Matroids
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model
Voting for the right answer: Adversarial defense for speaker verification
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks
Malware Classification using Deep Neural Networks: Performance Evaluation and Applications in Edge Devices
Ein Fenster zur gleichzeitigen Messung der Uebertragungsfunktion eines realen Systems und des Leistungsdichtespektrums des ueberlagerten Rauschens am Systemausgang (Teil 2)
On the Core of a Unicyclic Graph
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities
Unsupervised Complementary-aware Multi-process Fusion for Visual Place Recognition
Towards Semantically Enhanced Data Understanding
An Attention-Based Deep Net for Learning to Rank
On Continuous Weighted Finite Automata
A Mathematical Theory of Semantic Communication: Overview
A Bilateral Game Approach for Task Outsourcing in Multi-access Edge Computing
Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory
War Elephants: Rethinking Combat AI and Human Oversight
Breaking the O(mn)-Time Barrier for Vertex-Weighted Global Minimum Cut
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation
As-Continuous-As-Possible Ceramics Printing for Shell Models
Entropic associative memory for real world images
Towards the TopMost: A Topic Modeling System Toolkit
Prompt Learning for Domain Adaptation in Task-Oriented Dialogue
Information filtering via hybridization of similarity preferential diffusion processes
AI Bill of Materials and Beyond: Systematizing Security Assurance through the AI Risk Scanning (AIRS) Framework
Cooperative Backscatter NOMA with Imperfect SIC: Towards Energy Efficient Sum Rate Maximization in Sustainable 6G Networks
BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation
Wireless Full-duplex Medium Access Control for Enhancing Energy Efficiency
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline
Replacement Policy of Systems with Dependent Components via Integration of Dynamic Programming and Simulated Annealing
SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
A phase-field chemo-mechanical model for corrosion-induced cracking in reinforced concrete
Unit Disk Visibility Graphs
Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO
Ubergraphs: A Definition of a Recursive Hypergraph Structure
Analyzing the Latent Space of GAN through Local Dimension Estimation
Does a Large Language Model Really Speak in Human-Like Language?
GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
Image Recognition with Vision and Language Embeddings of VLMs
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling
Minimal Sequent Calculus for Teaching First-Order Logic: Lessons Learned
The high-order Hermite discrete correction function method for surface-driven electromagnetic problems
A Taxonomy for Congestion Control Algorithms in Vehicular Ad Hoc Networks
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks
On Designing Machine Learning Models for Malicious Network Traffic Classification
CloudMe Forensics: A Case of Big-Data Investigation
Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
PlueckerNet: Learn to Register 3D Line Reconstructions
CPS: Class-level 6D Pose and Shape Estimation From Monocular Images
Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
Simulation and Performance Analysis of Adaptive Filtering Algorithms in Noise Cancellation
Authentication and Handover Challenges and Methods for Drone Swarms
Learning-based Handover in Mobile Millimeter-wave Networks
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network
RESLVE: Leveraging User Interest to Improve Entity Disambiguation on Short Text
Usability of AutoProof: a case study of software verification
Latency Based Tiling
Optimized Mission Planning for Planetary Exploration Rovers
EasyMath: A 0-shot Math Benchmark for SLMs
IntelliCode Compose: Code Generation Using Transformer
A Hands-free Spatial Selection and Interaction Technique using Gaze and Blink Input with Blink Prediction for Extended Reality
Diffeomorphic brain shape modelling using Gauss-Newton optimisation
On The Open Prompt Challenge In Conditional Audio Generation
New aspects of quantum topological data analysis: Betti number estimation, and testing and tracking of homology and cohomology classes
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition
FracDetNet: Advanced Fracture Detection via Dual-Focus Attention and Multi-scale Calibration in Medical X-ray Imaging
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
Message Encoding for Spread and Orbit Codes
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
Towards a Global Agreement: the Persistent Graph
Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
Transformers Are Better Than Humans at Identifying Generated Text
On the Outage Performance of SWIPT Based Three-step Two-way DF Relay Networks
SEGAN: semi-supervised learning approach for missing data imputation
A Study of Performance of Optimal Transport
Towards Big Data Modeling and Management Systems: From DBMS to BDMS
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks
LSTM-based Whisper Detection
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
Local certification of forbidden subgraphs
FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
Methods for Analytical Understanding of Agent-Based Modeling of Complex Systems
Quantum reverse hypercontractivity: its tensorization and application to strong converses
On the Double Coset Membership Problem for Permutation Groups
Autoencoders for Real-Time SUEP Detection
Zero-Shot Learning for the Primitives of 3D Affordance in General Objects
Action Robust Reinforcement Learning via Optimal Adversary Aware Policy Optimization
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations
Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations
New Permutation Trinomials From Niho Exponents over Finite Fields with Even Characteristic
Symmetries in the sequence of approximation coefficients
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach
Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Data
Analysis of Basic Emotions in Texts Based on BERT Vector Representation
Revealing an Unattractivity Bias in Mental Reconstruction of Occluded Faces using Generative Image Models
Asymptotic Preserving Discontinuous Galerkin Methods for a Linear Boltzmann Semiconductor Model
A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain
Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls
Zero-Shot Video Question Answering with Procedural Programs
Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos
Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning
Encoder-Decoder-Based Intra-Frame Block Partitioning Decision
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle
Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Enhanced Convolutional Neural Networks for Improved Image Classification
Parametric Chordal Sparsity for SDP-based Neural Network Verification
Evolutionary Architecture Search For Deep Multitask Networks
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
A second order finite element method with mass lumping for Maxwell's equations on tetrahedra
Machine Learning Toric Duality in Brane Tilings
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Simple parameter-free self-attention approximation
Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via 𝓁 0 -Constrained Portfolio
FreqEdit: Preserving High-Frequency Features for Robust Multi-Turn Image Editing
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
A Proof-Generating C Code Generator for ACL2 Based on a Shallow Embedding of C in ACL2
Continually Evolved Multimodal Foundation Models for Cancer Prognosis
Automated Tiling of Unstructured Mesh Computations with Application to Seismological Modelling
Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
Rethinking Approximate Gaussian Inference in Classification
Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset
Damped energy-norm a posteriori error estimates for fully discrete approximations of the wave equation using C2-reconstructions
DeDUCE: Generating Counterfactual Explanations Efficiently
Length of the continued logarithm algorithm on rational inputs
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks
An adaptive Newton-based free-boundary Grad-Shafranov solver
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
Embedded training of neural-network sub-grid-scale turbulence models
A Survey of Constrained Combinatorial Testing
Power System Electromagnetic Transient Stability: an Analysis Based on Convergent Hamiltonian
Improved prediction of future user activity in online A/B testing
On Linear Processing for an AWGN Channel with Noisy Feedback
RAFT: Adapting Language Model to Domain Specific RAG
Confidence Guided Depth Completion Network
MALCDF: A Distributed Multi-Agent LLM Framework for Real-Time Cyber
Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning
Reuse of existing applications during the development of Enterprise Portals integrating Web Services
Computing coset leaders of binary codes
Complexity fits the fittest
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
Automatic Discourse Segmentation: Review and Perspectives
Certified Non-Confluence with ConCon 1.5
Multilevel Polar-Coded Modulation
On the possibility of fast stable approximation of analytic functions from equispaced samples via polynomial frames
Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation
HMD 2 : Environment-aware Motion Generation from Single Egocentric Head-Mounted Device
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data
Asymptotic Delsarte cliques in distance-regular graphs
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends
Online Influence Maximization: Concept and Algorithm
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification
Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio
Locally Correct Frechet Matchings
How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control
Deep Forest with Hashing Screening and Window Screening
An Interactive Foreign Language Trainer Using Assessment and Feedback Modalities
Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model Generations
An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features
Enhancing Automatic PT Tagging for MEDLINE Citations Using Transformer-Based Models
Cortex: Harnessing Correlations to Boost Query Performance
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
Echo State Networks for Self-Organizing Resource Allocation in LTE-U with Uplink-Downlink Decoupling
A Logical Framework with Infinitary Terms
Enhancing Trust in eAssessment - the TeSLA System Solution
Passivity-Based Robust Shape Control of a Cable-Driven Solar Sail Boom for the CABLESSail Concept
Structure-based drug design with geometric deep learning
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation
ReCA: an Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization
The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks
A Factor Graph Approach to Multi-Camera Extrinsic Calibration on Legged Robots
Discriminative Functional Connectivity Measures for Brain Decoding
Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization
Neural Code Summarization
Causal Intervention for Fairness in Multi-behavior Recommendation
Routing Diverse Evacuees with Cognitive Packets
Side Information-Aided Compressed Sensing Reconstruction via Approximate Message Passing
A nonlinear phase-field model of corrosion with charging kinetics of electric double layer
Two Squares of Opposition: for Analytic and Synthetic Propositions
Weyl-Heisenberg Spaces for Robust Orthogonal Frequency Division Multiplexing
Beyond Hallucinations: A Multimodal-Guided Task-Aware Generative Image Compression for Ultra-Low Bitrate
RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning
Unit Test Generation for Vulnerability Exploitation in Java Third-Party Libraries
Radar-Based Localization For Autonomous Ground Vehicles In Suburban Neighborhoods
A stochastic noise model based excess noise factor expressions for staircase avalanche photodiodes
An algorithmic approach using multivariate polynomials for the nonlinearity of Boolean functions
Asynchronous Distributed Multi-Robot Motion Planning Under Imperfect Communication
Hybrid Type-Logical Grammars, First-Order Linear Logic and the Descriptive Inadequacy of Lambda Grammars
Adaptive Minimum BER Reduced-Rank Interference Suppression Algorithms Based on Joint and Iterative Optimization of Parameters
A Construction for Periodic ZCZ Sequences
AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents
Optimal error bounds for the two point flux approximation finite volume scheme
An Efficient Path Integral Approach for Stochastic Optimal Control with a Topology-Embedded Sampling-Based Planner
Ontology Based Data Integration Over Document and Column Family Oriented NOSQL
CROPS: A Deployable Crop Management System Over All Possible State Availabilities
Skypilot: Fine-Tuning LLM with Physical Grounding for AAV Coverage Search
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications
Persuasive Natural Language Generation - A Literature Review
Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning
Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
A Historical Review of Forty Years of Research on CMAC
Convergent dynamics of optimal nonlinear damping control
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images
Saving Communication Resources in Control over a Token Bucket Network
Simplified Algorithms for Order-Based Core Maintenance
Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis
Toric Difference Variety
FSpGEMM: An OpenCL-based HPC Framework for Accelerating General Sparse Matrix-Matrix Multiplication on FPGAs
Large language models can learn and generalize steganographic chain-of-thought under process supervision
Optimal Coalition Structures in Graph Games
RLEEGNet: Integrating Brain-Computer Interfaces with Adaptive AI for Intuitive Responsiveness and High-Accuracy Motor Imagery Classification
Fluid Language Model Benchmarking
Inter-temperature Bandwidth Reduction in Cryogenic QAOA Machines
Multi-linear iterative K-Sigma-semialgebras
Dynamic Clustering and ON/OFF Strategies for Wireless Small Cell Networks
A cluster mean approach for topology optimization of natural frequencies and bandgaps with simple/multiple eigenfrequencies
TRepLiNa: Layer-wise CKA+REPINA Alignment Improves Low-Resource Machine Translation in Aya-23 8B
Statically Verified Refinements for Multiparty Protocols
Estimating mixed-memberships using the Symmetric Laplacian Inverse Matrix
SlideGen: Collaborative Multimodal Agents for Scientific Slide Generation
Model Interpretability through the Lens of Computational Complexity
Unsupervised Unfolded rPCA (U2-rPCA): Deep Interpretable Clutter Filtering for Ultrasound Microvascular Imaging
Random Pareto front surfaces
Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars