yusuke1997/dblp-id-title huggingface dataset:
Introduction to Machine Learning for the Sciences
Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews
Parametrized Complexity of Quantum Inspired Algorithms
Nonlocal-interaction equation on graphs: gradient flow structure and continuum limit
Robust Dynamic Selection of Tested Modules in Software Testing for Maximizing Delivered Reliability
On the longest increasing subsequence and number of cycles of butterfly permutations
A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses
Addressing the Blind Spots in Spoken Language Processing
PrivCode: When Code Generation Meets Differential Privacy
Making and Evaluating Calibrated Forecasts
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Ternarization of Vision Language Models for use on edge devices
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
osmAG-LLM: Zero-Shot Open-Vocabulary Object Navigation via Semantic Maps and Large Language Models Reasoning
Arch-Router: Aligning LLM Routing with Human Preferences
SPINE: Token-Selective Test-Time Reinforcement Learning with Entropy-Band Regularization
Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes
A Methodology for Quantifying Flexibility in a fleet of Diverse DERs
User authentication system based on human exhaled breath physics
Novel Approach for Solving a Variant of Equal Flow Problem
Semi-Supervised Deep Metrics for Image Registration
Code Agents are State of the Art Software Testers
A 5G Architecture for The Factory of the Future
PP-FormulaNet: Bridging Accuracy and Efficiency in Advanced Formula Recognition
Estimation of Treatment Effects in Extreme and Unobserved Data
From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle
Retail Market Analysis
Convergence Rates of Constrained Expected Improvement
Modern Data Pricing Models: Taxonomy and Comprehensive Survey
Cyberattack Detection for Nonlinear Leader-Following Multi-Agent Systems Using Set-Membership Fuzzy Filtering
Cog-GA: A Large Language Models-based Generative Agent for Vision-Language Navigation in Continuous Environments
A Functional Zip Operation On Streams
Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting
Information Theory Measures via Multidimensional Gaussianization
Using Bernstein-Vazirani Algorithm to Attack Block Ciphers
A unified meshfree pseudospectral method for solving both classical and fractional PDEs
API-Bank: A Benchmark for Tool-Augmented LLMs
Minimization of energy functionals via FEM: implementation of hp-FEM
Learning a Multi-Agent Controller for Shared Energy Storage System
The Generalized Multiple Access Channel with Confidential Messages
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images
Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections
Approximating L1-distances between mixture distributions using random projections
Approximate MMSE Estimator for Linear Dynamic Systems with Gaussian Mixture Noise
Automated Environmental Monitoring Intelligent System Based on Compact Autonomous Robots for The Sevastopol Bay
Understanding the Relationship Between Personal Data Privacy Literacy and Data Privacy Information Sharing by University Students
Human Preferences for Constructive Interactions in Language Model Alignment
High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance
Recognizing Concepts and Recognizing Musical Themes. A Quantum Semantic Analysis
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection
Detect & Describe: Deep learning of bank stress in the news
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models
Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems
Opportunistic Device-to-Device Communication in Cellular networks: From Theory to Practice
BlockCert: Certified Blockwise Extraction of Transformer Mechanisms
Building Safer AGI by introducing Artificial Stupidity
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Discriminative Kernel Convolution Network for Multi-Label Ophthalmic Disease Detection on Imbalanced Fundus Image Dataset
Games and Argumentation: Time for a Family Reunion!
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model
Gradient flows and randomised thresholding: sparse inversion and classification
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training
Phase transitions in a decentralized graph-based approach to human language
BuddyMoE: Exploiting Expert Redundancy to Accelerate Memory-Constrained Mixture-of-Experts Inference
On zero-sum game formulation of non zero-sum game
Mesh Simplification For Unfolding
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications
Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs
Improved Bound for the Nystrom's Method and its Application to Kernel Classification
New Binary Optimal Z-Complementary Code Sets with Generalized Boolean Functions
Random matrix ensemble for the covariance matrix of Ornstein-Uhlenbeck processes with heterogeneous temperatures
Learning When to Look: A Disentangled Curriculum for Strategic Perception in Multimodal Reasoning
Metric preserving directed graph symmetrization
Deep Constrained Local Models for Facial Landmark Detection
Schwartz duality for singularly perturbed nonlinear differential equations with Chebyshev spectral method
MemLoss: Enhancing Adversarial Training with Recycling Adversarial Examples
Optimal construction of a layer-ordered heap
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
Open Issues in Combating Fake News: Interpretability as an Opportunity
Review of Considerations for Mobile Device based Secure Access to Financial Services and Risk Handling Strategy for CIOs, CISOs and CTOs
Consensus in Self-similar Hierarchical Graphs and Sierpiński Graphs: Convergence Speed, Delay Robustness, and Coherence
Tagset Design and Inflected Languages
Be More Diverse than the Most Diverse: Online Selection of Diverse Mixtures of Generative Models
Optimal Resource Allocation with Node and Link Capacity Constraints in Complex Networks
Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation
Sex and Gender in the Computer Graphics Research Literature
Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge
Applications of the Gauss-Jordan algorithm, done right
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge
A Leader-Follower Game Theoretic Approach to Arrest Cascading Failure in Smart Grid
Quantum social networks
Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
Approximating binary longest common subsequence in near-linear time
Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning
Optimal LP Rounding and Fast Combinatorial Algorithms for Clustering Edge-Colored Hypergraphs
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access
Computing Top-k Closeness Centrality in Fully-dynamic Graphs
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
Zero-shot Task Preference Addressing Enabled by Imprecise Bayesian Continual Learning
Generalization bounds for deep learning
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
VBD-MT Chinese-Vietnamese Translation Systems for VLSP 2022
Efficient Graph Neural Network Inference at Large Scale
Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science
HSPACE: Synthetic Parametric Humans Animated in Complex Environments
Industrial Engineering with Large Language Models: A case study of ChatGPT's performance on Oil & Gas problems
New model for datasets citation and extraction reproducibility in VAMDC
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context
Vertex deletion into bipartite permutation graphs
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data
A Short Note on Collecting Dependently Typed Values
A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
Visual Question Answering with Memory-Augmented Networks
The Recognition of Simple-Triangle Graphs and of Linear-Interval Orders is Easy
Discovering Long-Term Effects on Parameter Efficient Fine-tuning
SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
A Discussion On the Validity of Manifold Learning
SPOOF: Simple Pixel Operations for Out-of-Distribution Fooling
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
Coupled generator decomposition for fusion of electro- and magnetoencephalography data
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
ADAM-1: AI and Bioinformatics for Alzheimer's Detection and Microbiome-Clinical Data Integrations
Efficient Discovering of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data
Sawtooth Sampling for Time Series Denoising Diffusion Implicit Models
Study of mental health and learning engagement during COVID-19 pandemic based on an electroencephalogram headset
Machine Ruling
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering
Data Troubles in Sentence Level Confidence Estimation for Machine Translation
TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations
Impulse Noise Removal In Speech Using Wavelets
Copycat: A High Precision Real Time NAND Simulator
Geometric Approaches on Persistent Homology
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra
G-Distillation: Reducing Overconfident Errors on Novel Samples
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005)
Online Social Support Detection in Spanish Social Media Texts
Hyperbolic Geometry in Computer Vision: A Novel Framework for Convolutional Neural Networks
Microcontroller-Driven MPPT System for Enhanced Photovoltaic Efficiency: An Experimental Approach in Nepal
Unsupervised Domain Adaptation with Dynamic Clustering and Contrastive Refinement for Gait Recognition
A Generic Type System for Higher-Order Ψ-calculi
Checking the strict positivity of Kraus maps is NP-hard
LoFi: Scalable Local Image Reconstruction with Implicit Neural Representation
Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
Functional Stability of Software-Hardware Neural Network Implementation The NeuroComp Project
Self-Healing Audio System
Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
Predicting effect of novel treatments using molecular pathways and real-world data
Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields
Continuum-Interaction-Driven Intelligence: Human-Aligned Neural Architecture via Crystallized Reasoning and Fluid Generation
Fast Hip Joint Moment Estimation with A General Moment Feature Generation Method
A Nonlinear Observer for Air-Velocity and Attitude Estimation Using Pitot and Barometric Measurements
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Practical Quantum-Classical Feature Fusion for complex data Classification
Distillability of LLM Security Logic: Predicting Attack Success Rate of Outline Filling Attack via Ranking Regression
Byzantine Resilient Federated Multi-Task Representation Learning
Finding fault-tolerant Clifford circuits using SMT solvers
Faster Inversion and Other Black Box Matrix Computations Using Efficient Block Projections
Topology classification with deep learning to improve real-time event selection at the LHC
Anomalous sorption kinetics of self-interacting particles by a spherical trap
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Block
Sharding-Based Proof-of-Stake Blockchain Protocols: Security Analysis
Learning for DC-OPF: Classifying active sets using neural nets
Scale Normalized Image Pyramids with AutoFocus for Object Detection
Multi-agent transformer-accelerated RL for satisfaction of STL specifications
AutoOED: Automated Optimal Experiment Design Platform
Looking before leaping: Creating a software registry
Focus Is What You Need For Chinese Grammatical Error Correction
Optimization and Benchmarking of Monolithically Stackable Gain Cell Memory for Last-Level Cache
Precise Complexity Guarantees for Pointer Analysis via Datalog with Extensions
A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources
Divide-and-Shuffle Synchronization for Distributed Machine Learning
On the deficiency of complete multipartite graphs
Slotted Aloha for Networked Base Stations with Spatial and Temporal Diversity
On the Complexity of the Ordered Covering Problem in Distance Geometry
A Proximity Measure using Blink Model
Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Improved Scaling Laws in Linear Regression via Data Reuse
Cyber Spectrum Intelligence: Security Applications, Challenges and Road Ahead
Refinement Types for TypeScript
Towards a fully declarative neuro-symbolic language
A Distributed Solution for Efficient K Shortest Paths Computation over Dynamic Road Networks
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
Estimating the Accuracy of the Return on Investment (ROI) Performance Evaluations
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging
MMORE: Massive Multimodal Open RAG & Extraction
Theory and applications of the Sum-Of-Squares technique
Approximating Language Model Training Data from Weights
Transmitting Full Set of Alphabet Letters to Human Hand via Writing Motion with 5-minute Training
How permanent are metadata for research data? Understanding changes in DataCite DOI metadata
A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply
On the Global Optimality of Linear Policies for Sinkhorn Distributionally Robust Linear Quadratic Control
A term-rewriting characterization of PSPACE
Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
System Report for CCL25-Eval Task 10: Prompt-Driven Large Language Model Merge for Fine-Grained Chinese Hate Speech Detection
WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
Rapid Spreadsheet Reshaping with Excelsior: multiple drastic changes to content and layout are easy when you represent enough structure
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
Model extraction from counterfactual explanations
Proceedings of the Second International Workshop on FPGAs for Software Programmers (FSP 2015)
Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions
The Importance of Technical Distribution Network Limits in Dynamic Operating Envelopes
Performance Analysis of Charging Infrastructure Sharing in UAV and EV-involved Networks
Variational Prediction
Think-Then-React: Towards Unconstrained Human Action-to-Reaction Generation
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies
Towards a Global Controller Design for Guaranteed Synchronization of Switched Chaotic Systems
Camera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches
On meeting Energy Balance Errors in Cosimulations
Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
A Convex Approach to Output Feedback Control of Parabolic PDEs Using Sum-of-Squares
On Integer Programming for the Binarized Neural Network Verification Problem
Graphical Newton
Optimization of QKD Networks with Classical and Quantum Annealing
HDMI-Walk: Attacking HDMI Distribution Networks via Consumer Electronic Control Protocol
Self-Adjust Softmax
The Manhattan Trap: Why a Race to Artificial Superintelligence is Self-Defeating
A Simple Multipath OpenFlow Controller using topology-based algorithm for Multipath TCP
P N -Method for Multiple Scattering in Participating Media
Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding
Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums
Inference-Time Reward Hacking in Large Language Models
Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms
Benchmarking a Probabilistic Coprocessor
Meta-learning framework with applications to zero-shot time-series forecasting
One and Two Bit Message Passing for SC-LDPC Codes with Higher-Order Modulation
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild
A Comparison of Sparse Solvers for Severely Ill-Conditioned Linear Systems in Geophysical Marker-In-Cell Simulations
Finite-Volume Simulation of Capillary-Dominated Flow in Matrix-Fracture Systems using Interface Conditions
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series
Bounds on non-linear errors for variance computation with stochastic rounding
Self-adaptive node-based PCA encodings
CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations
Adaptive Semantic Prompt Caching with VectorQ
Research on Mobile Network High-precision Absolute Time Synchronization based on TAP
Representing Pedagogic Content Knowledge Through Rough Sets
Supporting Parallelism in Server-based Multiprocessor Systems
The rising costs of training frontier AI models
Distortion Exponent in MIMO Channels with Feedback
ActionCLIP: A New Paradigm for Video Action Recognition
An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval
Concept Steerers: Leveraging K-Sparse Autoencoders for Controllable Generations
MathClean: A Benchmark for Synthetic Mathematical Data Cleaning
Keep your memory dump shut: Unveiling data leaks in password managers
A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning
On the Thinking-Language Modeling Gap in Large Language Models
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering
Using Deep Ensemble Forest for High Resolution Mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran
A unified characterization of generalized information and certainty measures
Conceptual Metaphor Theory as a Prompting Paradigm for Large Language Models
Learning and Inference Movement with Deep Generative Model
Model Inversion Attacks against Graph Neural Networks
The three main doctrines on the future of AI
Topology-Aware Conformal Prediction for Stream Networks
Sentiment analysis in Bengali via transfer learning using multi-lingual BERT
Strong Subgraph k-connectivity
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading
Medical Waste Sorting: a computer vision approach for assisted primary sorting
UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model
GEM: 3D Gaussian Splatting for Efficient and Accurate Cryo-EM Reconstruction
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
Boundary stabilization of a one-dimensional wave equation by a switching time-delay: a theoretical and numerical study
Towards mapping the contemporary art world with ArtLM: an art-specific NLP model
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models
Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
Analytic Adjoint Solutions for the 2D Incompressible Euler Equations Using the Green's Function Approach
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
PAC-Bayesian Meta-learning with Implicit Prior
Are You Ready? Towards the Engineering of Forensic-Ready Systems
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques
Asymptotically Improved Grover's Algorithm in any Dimensional Quantum System with Novel Decomposed n-qudit Toffoli Gate
ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Notes on Applicability of GPT-4 to Document Understanding
On approximating the f -divergence between two Ising models
Model Predictive Adversarial Imitation Learning for Planning from Observation
Casual Inference via Style Bias Deconfounding for Domain Generalization
On the Non-Monotonic Description Logic ALC+T min
Cross-modal Fundus Image Registration under Large FoV Disparity
Camera Adversarial Transfer for Unsupervised Person Re-Identification
The Optimal Mechanism in $(ε,δ)$-Differential Privacy
Embedded corrector problems for homogenization in linear elasticity
Bayesian Optimization with Conformal Coverage Guarantees
Masked Diffusion Captioning for Visual Feature Learning
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
Simulating flexible fiber suspensions using a scalable immersed boundary algorithm
From paintbrush to pixel: A review of deep neural networks in AI-generated art
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM
Functional Interpolation for Relative Positions Improves Long Context Transformers
BOSS: Bones, Organs and Skin Shape Model
Unsupervised Learning Layers for Video Analysis
Improved YOLOv5s model for key components detection of power transmission lines
On k-vertex-edge domination of graph
A Study on Library Resources with Services Satisfaction based on Library Users Affiliated Colleges to Solapur University
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Vector-valued Privacy-Preserving Average Consensus