yusuke1997/dblp-id-title huggingface dataset:
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
Anonymous Card Shuffling and its Applications to Parallel Mixnets
Efficient UAV Physical Layer Security based on Deep Learning and Artificial Noise
Machine learning the dimension of a Fano variety
A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Few-Shot Text Classification with Induction Network
Bifurcation Analysis of Reaction Diffusion Systems on Arbitrary Surfaces
A note on the strong data-processing inequalities in Bayesian networks
Optimal Beamforming for MIMO Shared Relaying in Downlink Cellular Networks with ARQ
RF Energy Harvesting Enabled Power Sharing in Relay Networks
Online Learning for Neural Machine Translation Post-editing
Estimating Probability Densities with Transformer and Denoising Diffusion
Critical grid method: An extensible Smoothed Particle Hydrodynamics fluid general interpolation method for Fluid-Structure Interaction surface coupling based on preCICE
Random Networks with given Rich-club Coefficient
Data-driven Abstractions for Verification of Deterministic Systems
Deterministic Cryptographic Seed Generation via Cyclic Modular Inversion over ℤ/3 p ℤ
A Note on Cut-Approximators and Approximating Undirected Max Flows
AstroGrid-D: Grid Technology for Astronomical Science
Visual Perception in Text Strings
A novel shape optimization approach for source identification in elliptic equations
From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual Models
New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing
Voice Interaction With Conversational AI Could Facilitate Thoughtful Reflection and Substantive Revision in Writing
Text Detection and Recognition in images: A survey
Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions
Diversify and Disambiguate: Learning From Underspecified Data
Higher order Trace Finite Element Methods for the Surface Stokes Equation
Coping with the delineation of emerging fields: Nanoscience and Nanotechnology as a case study
The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs
Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
R&D Networks under Heterogeneous Firm Productivities
Dynamic Normalization
Learned SVD: solving inverse problems via hybrid autoencoding
A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images
Symbolic Arithmetic and Integer Factorization
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
IndoorBEV: Joint Detection and Footprint Completion of Objects via Mask-based Prediction in Indoor Scenarios for Bird's-Eye View Perception
Stability Analysis for Regularized Least Squares Regression
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
Research on material identification of mobile phones falling to the ground
AudRandAug: Random Image Augmentations for Audio Classification
Social AI Improves Well-Being Among Female Young Adults
Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
Estimating the number of communities in weighted networks
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation
Recovering implicit physics model under real-world constraints
Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention
LogDoctor: an open and decentralized worker-centered solution for occupational management in healthcare
An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on Bert
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
Super-stability in the Student-Project Allocation Problem with Ties
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Assessing the Impact of Post-Quantum Digital Signature Algorithms on Blockchains
Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
Computing stable outcomes in symmetric additively-separable hedonic games
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation
Networks of Power: Analyzing World Leaders Interactions on Social Media
The Challenges of Machine Learning for Trust and Safety: A Case Study on Misinformation Detection
Multicast Multigroup Beamforming under Per-antenna Power Constraints
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Fair Multi-party Machine Learning - a Game Theoretic approach
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
SPARTA: Advancing Sparse Attention in Spiking Neural Networks via Spike-Timing-Based Prioritization
Variable and clause elimination for LTL satisfiability checking
Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow
Low-Resourced Machine Translation for Senegalese Wolof Language
Capturing the influence of geopolitical ties from Wikipedia with reduced Google matrix
On the Difficulty of Measuring Divisiveness of Proposals under Ranked Preferences
Characterization of delay propagation in the airport network
Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI
ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration
MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning
Business Process Text Sketch Automation Generation Using Large Language Model
Variable Substitution and Bilinear Programming for Aligning Partially Overlapping Point Sets
The Price of Updating the Control Plane in Information-Centric Networks
Robustness of Complex Networks against Attacks Guided by Damage
Natural Quantum Monte Carlo Computation of Excited States
SDN enabled Mobility Management in Multi Radio Access Technology 5G networks: A Survey
An efficient computational model of the in-flow capturing of magnetic nanoparticles by a cylindrical magnet for cancer nanomedicine
Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture
ProGait: A Multi-Purpose Video Dataset and Benchmark for Transfemoral Prosthesis Users
Distance-based Self-Attention Network for Natural Language Inference
Training Data Attribution for Image Generation using Ontology-Aligned Knowledge Graphs
3DTouch: Towards a Wearable 3D Input Device for 3D Applications
Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask
Improving Self Consistency in LLMs through Probabilistic Tokenization
Consensus of rankings
Simultaneous optimisation of temperature and energy in linear energy system models
mFACE: Multilingual Summarization with Factual Consistency Evaluation
The 2025 OpenAI Preparedness Framework does not guarantee any AI risk mitigation practices: a proof-of-concept for affordance analyses of AI safety policies
Polynomial time estimates for #SAT
Arc-disjoint Strong Spanning Subdigraphs of Semicomplete Compositions
KnowLogic: A Benchmark for Commonsense Reasoning via Knowledge-Driven Data Synthesis
Graph Joint Attention Networks
Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need
Critical-Questions-of-Thought: Steering LLM reasoning with Argumentative Querying
Learning Unified Representation of 3D Gaussian Splatting
Axioms for Model Fidelity Evaluation
Simple Fixpoint Iteration To Solve Parity Games
Analysis of the 802.11e Enhanced Distributed Channel Access Function
PowerSimulations.jl - A Power Systems operations simulation Library
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Interventions with Inversity in Unknown Networks Can Help Regulate Contagion
Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills
Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures
Mislearning from Censored Data: Gambler's Fallacy in a Search Problem
Clique-width and Well-Quasi-Ordering of Triangle-Free Graph Classes
Recursive methods for some problems in coding and random permutations
Quantifying Locomotion Differences Between Virtual Reality Users With and Without Motor Impairments
N-fold Superposition: Improving Neural Networks by Reducing the Noise in Feature Maps
Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective
Statistical physics of inference: Thresholds and algorithms
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
Low-Complexity LDPC Codes with Near-Optimum Performance over the BEC
Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition
A framework for deep energy-based reinforcement learning with quantum speed-up
Multi-Physics Simulations via Coupled Fourier Neural Operator
Stable Phase Retrieval with Mirror Descent
Gait Transitions in Load-Pulling Quadrupeds: Insights from Sled Dogs and a Minimal SLIP Model
Cross-Layer Performance Evaluation of C-V2X
TCP Decoupling for Next Generation Communication System
Emergent morpho-phonological representations in self-supervised speech models
Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment
Decentralized Equalization with Feedforward Architectures for Massive MU-MIMO
An Accelerated DC Programming Approach with Exact Line Search for The Symmetric Eigenvalue Complementarity Problem
Towards Self-Supervised Category-Level Object Pose and Size Estimation
An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition
An Efficient Feature Selection in Classification of Audio Files
On optimal recovering high order partial derivatives of bivariate functions
Average-Case Local Computation Algorithms
CoDrone: Autonomous Drone Navigation Assisted by Edge and Cloud Foundation Models
Parallel Ray Tracing of Black Hole Images Using the Schwarzschild Metric
Adaptive Self-Calibration for Minimalistic Collective Perception by Imperfect Robot Swarms
Asynchronous Entanglement Routing for the Quantum Internet
Device Tracking via Linux's New TCP Source Port Selection Algorithm (Extended Version)
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
Assist-as-needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-loop Optimization
Towards efficient deep autoencoders for multivariate time series anomaly detection
Tracking Temporal Evolution of Network Activity for Botnet Detection
Data-Driven Source Separation Based on Simplex Analysis
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
On the structure of the class NP
A Conjoint Graph Representation Learning Framework for Hypertension Comorbidity Risk Prediction
From Coarse to Fine: Learnable Discrete Wavelet Transforms for Efficient 3D Gaussian Splatting
Usability in the Larger Reality: A Contrarian Argument for the Importance of Social and Political Considerations
Towards Quantum-Enabled 6G Slicing
BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices
RTMaps-based Local Dynamic Map for multi-ADAS data fusion
When do microswimmers exit the Stokes regime?
The Power of Proofs: New Algorithms for Timed Automata Model Checking (with Appendix)
Graph-informed simulation-based inference for models of active matter
Performance of Single and Double-Integrator Networks over Directed Graphs
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
Finding Influential Cores via Normalized Ricci Flows in Directed and Undirected Hypergraphs with Applications
ChatGPT-4 as a Tool for Reviewing Academic Books in Spanish
Beyond Pairwise: Global Zero-shot Temporal Graph Generation
Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces
GPoeT-2: A GPT-2 Based Poem Generator
Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt
Coordination Between TSOs and DSOs: Flexibility Domain Identification
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
KV Prediction for Improved Time to First Token
Analog Computation and Representation
Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points
Hardness Results and Approximation Algorithms for the Minimum Dominating Tree Problem
Accelerator-assisted Floating-point ASIP for Communication and Positioning in Massive MIMO Systems
Parallelization in Extracting Fresh Information from Online Social Network
Topic Modelling Black Box Optimization
A Robust Classification Method using Hybrid Word Embedding for Early Diagnosis of Alzheimer's Disease
Learning Models with Uniform Performance via Distributionally Robust Optimization
Towards Distributed Stability Analytics of Dynamic Power Systems: A Phasor-Circuit Theory Perspective
The Development of Investment Planning Models for the United Kingdoms Wind and Solar Fleets
Classifying Nodes in Graphs without GNNs
Guaranteed Privacy-Preserving H ∞ -Optimal Interval Observer Design for Bounded-Error LTI Systems
How Benchmark Prediction from Fewer Data Misses the Mark
Task-Based Flexible Feature Distillation for LLMs
Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions
Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes
Design of Chain-of-Thought in Math Problem Solving
Energy Efficiency of Web Browsers in the Android Ecosystem
Minimum Weight Pairwise Distance Preservers
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
Implicit regularization and solution uniqueness in over-parameterized matrix sensing
DotMat: Solving Cold-start Problem and Alleviating Sparsity Problem for Recommender Systems
Predictive Coding for Dynamic Vision : Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
Large Language Models as Computable Approximations to Solomonoff Induction
Character-Aware Decoder for Neural Machine Translation
The Lasso with general Gaussian designs with applications to hypothesis testing
Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization
Robust Containerization of the High Angular Resolution Functional Imaging (HARFI) Pipeline
El egresado de la carrera Ciencias de la Información y su inserción en la gestión de mercadotecnia
K-Core Maximization through Edge Additions
An Optimal Linear Attack Strategy on Remote State Estimation
Robust Adaptive Filtering Based on Exponential Functional Link Network
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics
Deep Learning-Based Pneumonia Detection from Chest X-ray Images: A CNN Approach with Performance Analysis and Clinical Implications
Time Critical Social Mobilization: The DARPA Network Challenge Winning Strategy
Improved Distance Oracles for Vertex-Labeled Graphs
Learning Robust Controllers Via Probabilistic Model-Based Policy Search
MLJ: A Julia package for composable Machine Learning
CleanCTG: A Deep Learning Model for Multi-Artefact Detection and Reconstruction in Cardiotocography
A threshold dislocation dynamics method
Model predictive control of resistive wall mode for ITER
Exploring Cognition through Morphological Info-Computational Framework
Sparse Reasoning is Enough: Biological-Inspired Framework for Video Anomaly Detection with Large Pre-trained Models
A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015
A Core Ontology for Particle Accelerators: Interoperable Data and Workflows Across Facilities
Meta-Learning based Degradation Representation for Blind Super-Resolution
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets
Guide Me: Interacting with Deep Networks
Resource Allocation using Virtual Clusters
A framework for remote sensing images processing using deep learning technique
Using previous acoustic context to improve Text-to-Speech synthesis
Platform-Based Design Methodology and Modeling for Aircraft Electric Power Systems
Will the Butterfly Cipher keep your Network Data secure? Developments in Computer Encryption
An approximate solution of the MHD Falkner-Skan flow by Hermite functions pseudospectral method
Generalizing Political Leaning Inference to Multi-Party Systems: Insights from the UK Political Landscape
Content-Based Spam Filtering on Video Sharing Social Networks
CASPR: Automated Evaluation Metric for Contrastive Summarization
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos
InAR: Inverse Augmented Reality
Human-in-the-Loop Hate Speech Classification in a Multilingual Context
Diffusion Models, Image Super-Resolution And Everything: A Survey
Pseudopotential Lattice Boltzmann Method for boiling heat transfer: a mesh refinement procedure
Situationally-Aware Dynamics Learning
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
Towards The Ultimate Brain: Exploring Scientific Discovery with ChatGPT AI
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Learning to automate cryo-electron microscopy data collection with Ptolemy
Testable Design of Repeaterless Low Swing On-Chip Interconnect
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Uniform Distribution on (n-1)-Sphere: Rate-Distortion under Squared Error Distortion
Moment analysis of linear time-varying dynamical systems with renewal transitions
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Empowering Vector Architectures for ML: The CAMP Architecture for Matrix Multiplication
Probabilistic Temporal Masked Attention for Cross-view Online Action Detection
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Data mining : past present and future - a typical survey on data streams
Performance Analysis of Partial Interference Cancellation in Multi-Antenna UDNs
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
Spectral independence, coupling with the stationary distribution, and the spectral gap of the Glauber dynamics
Detail-revealing Deep Video Super-resolution
Is language evolution grinding to a halt?: Exploring the life and death of words in English fiction
A Bezier Curve Based Approach to the Convexification of the AC Optimal Power Flow Problem
Computational Studies in Influencer Marketing: A Systematic Literature Review
Observation of Spontaneous Bursting Spike Patterns Simple Three Memristor Circuits
Cauchy-completions and the rule of unique choice in relational doctrines
In-body Bionanosensor Localization for Anomaly Detection via Inertial Positioning and THz Backscattering Communication
Impact of Data-Oriented and Object-Oriented Design on Performance and Cache Utilization with Artificial Intelligence Algorithms in Multi-Threaded CPUs
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
The Effect of Distortions on the Prediction of Visual Attention
Formal Languages and Algorithms for Similarity based Retrieval from Sequence Databases
Extending DUNE: The dune-xt modules
Dimensionality, Coordination, and Robustness in Voting
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
Choosing to Be Green: Advancing Green AI via Dynamic Model Selection
Automatic Target Detection for Sparse Hyperspectral Images
An Efficient Method for Accurate Pose Estimation and Error Correction of Cuboidal Objects
Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
Analytical Verification of Deep Neural Network Performance for Time-Synchronized Distribution System State Estimation
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge
VIRGOS: Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition
A Cryptographic Moving-Knife Cake-Cutting Protocol
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval
A Priority-Aware Multiqueue NIC Design
Demographic Parity Inspector: Fairness Audits via the Explanation Space
Exploiting Near Time Forecasting From Social Network To Decongest Traffic
Design of Fast Response Smart Electric Vehicle Charging Infrastructure
A Gradually Reinforced Sample-Average-Approximation Differentiable Homotopy Method for a System of Stochastic Equations
The State of Sparsity in Deep Neural Networks
Event Extraction: A Survey
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations
Symbolic Execution + Model Counting + Entropy Maximization = Automatic Search Synthesis
A Practical Approach for Detecting Logical Error in Object Oriented Environment
The Evaluation of Rating Systems in Team-based Battle Royale Games
Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking
Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
Bandits with Partially Observable Offline Data
Quantized and Distributed Subgradient Optimization Method with Malicious Attack
Optimal Learning with Anisotropic Gaussian SVMs
Approximating the Balanced Minimum Evolution Problem
Pseudo-Centroid Clustering
Deep Neural Network Approach to Estimate Early Worst-Case Execution Time
Finding Balance-Fair Short Paths in Graphs
Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees
Adapting CBPP platforms for instructional use
BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes
PULSE: A Unified Multi-Task Architecture for Cardiac Segmentation, Diagnosis, and Few-Shot Cross-Modality Clinical Adaptation
Advancements in Real-Time Oncology Diagnosis: Harnessing AI and Image Fusion Techniques
A Wavelet-based Dual-stream Network for Underwater Image Enhancement
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization
Method for Extracting Patterns of Coordinated Network Attacks on Electric Power CPS based on Temporal-Topological Correlation
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices
Look Before You Leap: Detecting Phishing Web Pages by Exploiting Raw URL And HTML Characteristics
The DFAs of Finitely Different Languages
Hierarchical matrix approximability of inverse of convection dominated finite element matrices
Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form
Integration Of Visual Inter-word Constraints And Linguistic Knowledge In Degraded Text Recognition
Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data
From Play to Detection: Mini-SPACE as a Serious Game for Unsupervised Cognitive Impairment Screening
Two Disjoint Alternating Paths in Bipartite Graphs