yusuke1997/dblp-id-title huggingface dataset:
pySDC - Prototyping spectral deferred corrections
X3D in Urban Planning - Savannah in 3D
Spatial-Temporal Search for Spiking Neural Networks
Optimal Nonparametric Inference via Deep Neural Network
VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion
Federated Smoothing ADMM for Localization
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Total stability and integral action for discrete-time nonlinear systems
Framework of a multiscale data-driven digital twin of the muscle-skeletal system
Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs
Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling
Multi-dimensional Avikainen's estimates
MULTIMODAL ANALYSIS: Informed content estimation and audio source separation
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods
InfoBid: A Simulation Framework for Studying Information Disclosure in Auctions with Large Language Model-based Agents
Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space
Image reconstruction through metamorphosis
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
A Part-of-Speech Tagger for Yiddish: First Steps in Tagging the Yiddish Book Center Corpus
Nearly ETH-Tight Algorithms for Planar Steiner Tree with Terminals on Few Faces
Pretraining Language Models to Ponder in Continuous Space
Shapes and Context: In-the-Wild Image Synthesis & Manipulation
Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization
PEVLM: Parallel Encoding for Vision-Language Models
LLM Bazaar: A Service Design for Supporting Collaborative Learning with an LLM-Powered Multi-Party Collaboration Infrastructure
Learning the Analytic Geometry of Transformations to Achieve Efficient Computation
Towards Semi-Supervised Learning of Automatic Post-Editing: Data-Synthesis by Infilling Mask with Erroneous Tokens
Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
Synchronous Context-Free Grammars and Optimal Linear Parsing Strategies
Persistence of Wandering Intervals in Self-Similar Affine Interval Exchange Transformations
A Multi-server Scheduling Framework for Resource Allocation in Wireless Multi-carrier Networks
SysML: The New Frontier of Machine Learning Systems
Undirected Multicast Network Coding Gaps via Locally Decodable Codes
Preventing Adversarial Use of Datasets through Fair Core-Set Construction
YouTube AV 50K: an Annotated Corpus for Comments in Autonomous Vehicles
How to Expand a Self-orthogonal Code
Euskahaldun: Euskararen Aldeko Martxa Baten Sare Sozialetako Islaren Bilketa eta Analisia
petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI
Enhancing Time Awareness in Generative Recommendation
Quest-V: A Virtualized Multikernel for Safety-Critical Real-Time Systems
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
Deep Reinforcement Learning-Based Control Strategy with Direct Gate Control for Buck Converters
ALMA: a mathematics-driven approach for determining tuning parameters in generalized LASSO problems, with applications to MRI
Citation Recommendation using Deep Canonical Correlation Analysis
The Multivariate Covering Lemma and its Converse
Q-FSRU: Quantum-Augmented Frequency-Spectral For Medical Visual Question Answering
Counting difficult tree pairs with respect to the rotation distance problem
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science
Noncomputable Spectral Sets
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities
Compressed Transmission of Route Descriptions
Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
Towards Scalable Synthesis of Stochastic Control Systems
Generalized Attacks on Face Verification Systems
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question
First is Better Than Last for Training Data Influence
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI
On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT
Medical Photoacoustic Beamforming Using Minimum Variance-Based Delay Multiply and Sum
Strong, Weak and Branching Bisimulation for Transition Systems and Markov Reward Chains: A Unifying Matrix Approach
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary
CREOLE: a Universal Language for Creating, Requesting, Updating and Deleting Resources
Unveiling the Role of Data Uncertainty in Tabular Deep Learning
Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification
Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation
BackpropTools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Multi-controlled Phase Gate Synthesis with ZX-calculus applied to Neutral Atom Hardware
How do the naive Bayes classifier and the Support Vector Machine compare in their ability to forecast the Stock Exchange of Thailand?
Effective Personalized Recommendation in Collaborative Tagging Systems
From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations
Markerless Inside-Out Tracking for Interventional Applications
GNN-based Passenger Request Prediction
Federated Learning Using Coupled Tensor Train Decomposition
Root finding techniques that work
Computationally efficient human body modelling for real time motion comfort assessment
A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies
RGB-D Individual Segmentation
A Unified Prediction Framework for Signal Maps
LocationReasoner: Evaluating LLMs on Real-World Site Selection Reasoning
Auxiliary Functions as Koopman Observables: Data-Driven Polynomial Optimization for Dynamical Systems
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
Representable and diagonally representable weakening relation algebras
ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation
No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair
Mapping distributional to model-theoretic semantic spaces: a baseline
Task-oriented Learnable Diffusion Timesteps for Universal Few-shot Learning of Dense Tasks
Parametric Interval Temporal Logic over Infinite Words
Model Editing with Graph-Based External Memory
PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields
A Simple Sampling Method for Metric Measure Spaces
A Fusion-based Gender Recognition Method Using Facial Images
lucie : An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository
Three Degree-of-Freedom Soft Continuum Kinesthetic Haptic Display for Telemanipulation Via Sensory Substitution at the Finger
Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Input Hessian Regularization of Neural Networks
Complexity results for a cops and robber game on directed graphs
Detection of Bark Beetle Attacks using Hyperspectral PRISMA Data and Few-Shot Learning
Non-saturating GAN training as divergence minimization
Health Sentinel: An AI Pipeline For Real-time Disease Outbreak Detection
The Sample Complexity of Revenue Maximization
BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers
Long-term behaviour of symmetric partitioned linear multistep methods II. Invariants error analysis for some nonlinear dispersive wave models
Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language
An Equivariance Toolbox for Learning Dynamics
Vertex guarding for dynamic orthogonal art galleries
Ergodic Randomized Algorithms and Dynamics over Networks
BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation
A constrained optimization perspective on actor critic algorithms and application to network routing
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework
Mechanism Design via Dantzig-Wolfe Decomposition
Systems for Scaling Accessibility Efforts in Large Computing Courses
Non-Degenerate One-Time Pad and the integrity of perfectly secret messages
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification
Tracking Most Severe Arm Changes in Bandits
Encoding large scale cosmological structure with Generative Adversarial Networks
Simulation Based Formal Verification of Cyber-Physical Systems
An Evolution of CNN Object Classifiers on Low-Resolution Images
First-place Solution for Streetscape Shop Sign Recognition Competition
GAIR: GUI Automation via Information-Joint Reasoning and Group Reflection
Large Reasoning Models Are Autonomous Jailbreak Agents
SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
On the average sensitivity of laced Boolean functions
Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning
DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow
Networking Technologies for Enabling Human Digital Twin in Personalized Healthcare Applications: A Comprehensive Survey
Beyond Maximum Likelihood: from Theory to Practice
Pure Vision Language Action (VLA) Models: A Comprehensive Survey
FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
A new distance for high level RNA secondary structure comparison
Predicting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach
Learning Symmetries of Classical Integrable Systems
Technical Report: Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments
Prototype Reminding for Continual Learning
Quantum memory optimisation using finite-horizon, decoherence time and discounted mean-square performance criteria
Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
Strategic disclosure of opinions on a social network
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process
A Culturally-Rich Romanian NLP Dataset from "Who Wants to Be a Millionaire?" Videos
Current Challenges and Visions in Music Recommender Systems Research
Feature Learning from Incomplete EEG with Denoising Autoencoder
An O(n log n) projection operator for weighted ℓ 1 -norm regularization with sum constraint
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification
Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
Improving short text classification through global augmentation methods
Creating a level playing field for all symbols in a discretization
Non-Trivial Query Sampling For Efficient Learning To Plan
A Survey on Hypergraph Products (Erratum)
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks
Triple State QuickSort, A replacement for the C/C++ library qsort
Robot Assisted Tower Construction - A Resource Distribution Task to Study Human-Robot Collaboration and Interaction with Groups of People
Bridging the Gap between Conversational Reasoning and Interactive Recommendation
Simplified Quantum Algorithm for the Oracle Identification Problem
Exploiting Partial FDD Reciprocity for Beam Based Pilot Precoding and CSI Feedback in Deep Learning
Texture Fuzzy Segmentation using Skew Divergence Adaptive Affinity Functions
TCIG: Two-Stage Controlled Image Generation with Quality Enhancement through Diffusion
Noisy subspace clustering via matching pursuits
Designing Intent: A Multimodal Framework for Human-Robot Cooperation in Industrial Workspaces
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
Dual MCDRR Scheduler for Hybrid TDM/WDM Optical Networks
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
Nonsmooth Composite Nonconvex-Concave Minimax Optimization
Few-shot transfer of tool-use skills using human demonstrations with proximity and tactile sensing
Game theory and scholarly publishing: premises for an agreement around open access
Protein Language Model-Powered 3D Ligand Binding Site Prediction from Protein Sequence
Gateless Treasure: How to Get Sensitive Information from Unprotected External Storage on Android Phones
Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites
What Are People's Actual Utility Functions in Budget Aggregation?
Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution
Large Language Model Prediction Capabilities: Evidence from a Real-World Forecasting Tournament
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation
Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches
Power Efficient Hybrid Beamforming for Massive MIMO Public Channel
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images
Local sensitivity analysis of the 'Membrane shape equation' derived from the Helfrich energy
SimRank Computation on Uncertain Graphs
Robust H-infinity control and worst-case search in constrained parametric space
REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks
MonoLayout: Amodal scene layout from a single image
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy
The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries
ASOC: An Adaptive Parameter-free Stochastic Optimization Techinique for Continuous Variables
Neuromorphic Astronomy: An End-to-End SNN Pipeline for RFI Detection Hardware
Trust and Trustworthiness from Human-Centered Perspective in HRI - A Systematic Literature Review
Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
In-sector Compressive Beam Alignment for MmWave and THz Radios
Replica Exchange using q-Gaussian Swarm Quantum Particle Intelligence Method
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
A degenerating convection-diffusion system modelling froth flotation with drainage
Ergonomic Optimization in Worker-Robot Bimanual Object Handover: Implementing REBA Using Reinforcement Learning in Virtual Reality
TabStruct: Measuring Structural Fidelity of Tabular Data
Log Probability Tracking of LLM APIs
Classification of pulsars with Dirichlet process Gaussian mixture model
Randomly Pivoted Partial Cholesky: Random How?
Functional Localization Enforced Deep Anomaly Detection Using Fundus Images
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning
NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations
Day-ahead Operational Planning with Enhanced Flexible Ramping Product: Design and Analysis
Achievable Rates for the General Gaussian Multiple Access Wire-Tap Channel with Collective Secrecy
Toward a Global Regime for Compute Governance: Building the Pause Button
Stable states of perturbed Markov chains
Ultrasonic Array Characterization in Multiscattering and Attenuating Media Using Pin Targets
No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax
A Provably-Correct and Robust Convex Model for Smooth Separable NMF
Network Selection schemes in Heterogeneous Wireless Networks
Robust and Scalable Content-and-Structure Indexing (Extended Version)
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
Local Multilevel Preconditioned Jacobi-Davidson Method for Elliptic Eigenvalue Problems on Adaptive Meshes
Real-Time Streaming Mel Vocoding with Generative Flow Matching
Low-Frequency Stabilization of Dielectric Simulation Problems with Conductors and Insulators
Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
Scalable Pooled Time Series of Big Video Data from the Deep Web
Efficient Lock-free Binary Search Trees
A probabilistic result on impulsive noise reduction through Group Equivariant Non-Expansive Operators
Co-Located Magnetic Levitation Haptic and Graphic Display using Iron Core Coils under Screen
TIMBRE: Efficient Job Recommendation On Heterogeneous Graphs For Professional Recruiters
Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections
Interactive Machine Learning of Musical Gesture
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions
Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads
Comparison of nonlinear field-split preconditioners for two-phase flow in heterogeneous porous media
A Survey of Different Residential Energy Consumption Controlling Techniques for Autonomous DSM in Future Smart Grid Communications
Towards Dropout Training for Convolutional Neural Networks
Revisiting Long-context Modeling from Context Denoising Perspective
End-to-end deep meta modelling to calibrate and optimize energy consumption and comfort
A Dynamic Solution to the Puzzle of Sea Battle
Cyber Crossroads: A Global Research Collaborative on Cyber Risk Governance
HiClass: a Python library for local hierarchical classification compatible with scikit-learn
Neural Message Passing for Visual Relationship Detection
Offloading Cellular Traffic through Opportunistic Communications: Analysis and Optimization
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor
In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++
Trainable Class Prototypes for Few-Shot Learning
TubeBEND: A Real-World Dataset for Geometry Prediction in Rotary Draw Bending
Block coupling and rapidly mixing k-heights
Life Above Threshold: From List Decoding to Area Theorem and MSE
Three prophylactic interventions to counter fake news on social media
Navigating Ensemble Configurations for Algorithmic Fairness
Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms with Directed Gossip Communication
Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks
Drag-guided diffusion models for vehicle image generation
Learned Visual Features to Textual Explanations
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
Stochastic Long-Term Joint Decarbonization Planning for Power Systems and Data Centers: A Case Study in PJM
Belief function-based semi-supervised learning for brain tumor segmentation
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation
ADS: The Next Generation Search Platform
RowHammer: Reliability Analysis and Security Implications
The clique chromatic number of sparse random graphs
Meta-Kernelization using Well-Structured Modulators
Towards an Efficient Discovery of the Topological Representative Subgraphs
Multipreconditioning with directional sweeping methods for high-frequency Helmholtz problems
Graph properties in node-query setting: effect of breaking symmetry
CCCP Algorithms to Minimize the Bethe free energy of 3-SAT Problem
Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery
Principled Detection of Hallucinations in Large Language Models via Multiple Testing
Revisiting Language Encoding in Learning Multilingual Representations
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
Modular Techniques for Effective Localization and Double Ideal Quotient
Investigating Idiomaticity in Word Representations
End-to-End Multi-speaker ASR with Independent Vector Analysis
Software Development Analytics in Practice: A Systematic Literature Review
Using a thousand optimization tasks to learn hyperparameter search strategies
Can a Machine Feel Vibrations?: A Framework for Vibrotactile Sensation and Emotion Prediction via a Neural Network
Towards an Optimal Distributed Algorithm for Maximal Independent Set
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Spectral Journey: How Transformers Predict the Shortest Path
Subfield prestige and gender inequality in computing
FedFDP: Federated Learning with Fairness and Differential Privacy
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods
Renormalizing Diffusion Models
Privacy-preserving Fine-tuning of Large Language Models through Flatness
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor
First Author Advantage: Citation Labeling in Research
On the Distribution of Probe Traffic Volume Estimated from Their Footprints
Efficient Inference and Exploration for Reinforcement Learning
Performance Analysis of Slotted Secondary Transmission with Adaptive Modulation under Interweave Cognitive Radio Implementation
An improved approximation guarantee for Prize-Collecting TSP
Logical rules as fractions and logics as sketches
Enhancing Clinical Information Extraction with Transferred Contextual Embeddings
Crowding out the truth? A simple model of misinformation, polarization and meaningful social interactions
Reasoning on Property Graphs with Graph Generating Dependencies
TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models
Genetic Testing for Complex Diseases: a Simulation Study Perspective
Event-Triggered Quantized Average Consensus via Mass Summation