yusuke1997/dblp-id-title huggingface dataset:
FPGA-Based Design of Numerical Algorithms for Kernel Density Estimation Using High Level Synthesis Approach
Personalized Reward Modeling for Text-to-Image Generation
Single-Motor Robotic Gripper with Multi-Surface Fingers for Variable Grasping Configurations
Co-VisiON: Co-Visibility ReasONing on Sparse Image Sets of Indoor Scenes
Intelligent humanoids in manufacturing to address worker shortage and skill gaps: Case of Tesla Optimus
Search Based Code Generation for Machine Learning Programs
An Energy Efficient Scheme for Data Gathering in Wireless Sensor Networks Using Particle Swarm Optimization
A Novel Propulsion Method of Flexible Underwater Robots
Robust Decision-Making in Spatial Learning: A Comparative Study of Successor Features and Predecessor Features Algorithms
The Bhargava greedoid as a Gaussian elimination greedoid
Towards A Systematic Discussion of Missingness in Visual Analytics
Configurable memory systems for embedded many-core processors
Data-enabled Policy Optimization for the Linear Quadratic Regulator
Haptic Transparency and Interaction Force Control for a Lower-Limb Exoskeleton
Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
COLoRIS: Localization-agnostic Smart Surfaces Enabling Opportunistic ISAC in 6G Networks
SynBench: A Synthetic Benchmark for Non-rigid 3D Point Cloud Registration
A Controllable QA-based Framework for Decontextualization
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions
Improved Implicity Neural Representation with Fourier Bases Reparameterized Training
Bootstrapping A Wide-Coverage CCG from FB-LTAG
Debiasing and a local analysis for population clustering using semidefinite programming
Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments
AI Explainability and Governance in Smart Energy Systems: A Review
Temporal graph models fail to capture global temporal dynamics
Power Diagram Enhanced Adaptive Isosurface Extraction from Signed Distance Fields
When and Where to Step: Terrain-Aware Real-Time Footstep Location and Timing Optimization for Bipedal Robots
Project-based Learning within a Large-Scale Interdisciplinary Research Effort
Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation
Supervised Neural Networks for RFI Flagging
Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
Feng-Shui Compass: A Modern Exploration of Traditional Chinese Environmental Analysis
KARMA Approach supporting Development Process Reconstruction in Model-based Systems Engineering
Distributed Dynamic State Estimation for Microgrids
Safety-Critical Control on Lie Groups Using Energy-Augmented Zeroing Control Barrier Functions
TextDecepter: Hard Label Black Box Attack on Text Classifiers
Sentiment Classification of Food Reviews
Let's Get the FACS Straight - Reconstructing Obstructed Facial Features
Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural Network
ActiveClean: Generating Line-Level Vulnerability Data via Active Learning
Lightweight and Post-Training Structured Pruning for On-Device Large Lanaguage Models
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
Simplified Analysis on Filtering Sensitivity Trade-offs in Continuous- and Discrete-Time Systems
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning
Neural Networks Optimizations Against Concept and Data Drift in Malware Detection
Biologically plausible deep learning - but how far can we go with shallow networks?
Responsible AI by Design
Self-control: A Better Conditional Mechanism for Masked Autoregressive Model
Reinforcement Learning for Shared Autonomy Drone Landings
Estimating the Prevalence of Deception in Online Review Communities
End-to-end lung nodule detection framework with model-based feature projection block
Bringing Objects to Life: 4D generation from 3D objects
Dynamic Scattering-channel-based Approach for Multiuser Image Encryption
Deterministic Graph Coloring in the Streaming Model
Enhancing Neural Code Representation with Additional Context
An Open Science Platform for the Next Generation of Data
Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)
Lossless Intra Coding in HEVC with 3-tap Filters
Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model
RePair Grammars are the Smallest Grammars for Fibonacci Words
DNN Dataflow Choice Is Overrated
Analysis of Named Entity Recognition and Linking for Tweets
SurgSora: Decoupled RGBD-Flow Diffusion Model for Controllable Surgical Video Generation
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Randomised methods for dynamical low-rank approximation
Rethinking Oversmoothing in Graph Neural Networks: A Rank-Based Perspective
Formal Power Series Approach to Nonlinear Systems with Additive Static Feedback
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
FaceMap: Towards Unsupervised Face Clustering via Map Equation
Conditional distribution variability measures for causality detection
Selective Conformal Risk Control
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains
Divergences on Monads for Relational Program Logics
An Exploration on Brain Computer Interface and Its Recent Trends
Semi-Supervised Learning, Causality and the Conditional Cluster Assumption
Deriving item features relevance from collaborative domain knowledge
Unifying domain adaptation and self-supervised learning for CXR segmentation via AdaIN-based knowledge distillation
Perturbation-mitigated USV Navigation with Distributionally Robust Reinforcement Learning
Enhanced Robot Motion Block of A-star Algorithm for Robotic Path Planning
On the Communication of Scientific Results: The Full-Metadata Format
HGR-Net: A Two-stage Convolutional Neural Network for Hand Gesture Segmentation and Recognition
Design and Evaluation of a Collective IO Model for Loosely Coupled Petascale Programming
Self-Tuning Network Control Architectures with Joint Sensor and Actuator Selection
Locally Correct Interleavings between Merge Trees
Design and Evaluation of a Bioinspired Tendon-Driven 3D-Printed Robotic Eye with Active Vision Capabilities
A Model-Free Detection Method for Internal Short Circuits in Single Lithium-ion Cells Using Pseudo Open-Circuit Voltage Difference
Efficiency of non-truthful auctions under auto-bidding
Automatic Generation of Formula Simplifiers based on Conditional Rewrite Rules
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces
New Outer Bounds for the Interference Channel with Unilateral Source Cooperation
On the Shape of Latent Variables in a Denoising VAE-MoG: A Posterior Sampling-Based Study
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction
Hierarchical Multi-robot Strategies Synthesis and Optimization under Individual and Collaborative Temporal Logic Specifications
Extracting tag hierarchies
Iterative Algebraic Soft-Decision List Decoding of Reed-Solomon Codes
Robust trajectory tracking for underactuated mechanical systems without velocity measurements
Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
Evaluating Bregman Divergences for Probability Learning from Crowd
MultiNeuron - Neural Networks Simulator For Medical, Physiological, and Psychological Applications
Application of Support Vector Regression to Interpolation of Sparse Shock Physics Data Sets
On the Freshness of Pinned Dependencies in Maven
Red and blue language: Word choices in the Trump & Harris 2024 presidential debate
Achieving Shannon Capacity in a Wiretap Channel via Previous Messages
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
Truth Neurons
Accuracy and stability analysis of the Semi-Lagrangian method for stiff hyperbolic relaxation systems and kinetic BGK model
Transforming planar graph drawings while maintaining height
Modeling and Control Framework for Autonomous Space Manipulator Handover Operations
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
Real-Time Wearable Gait Phase Segmentation For Running And Walking
LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning
Artificial Intelligence Powered Material Search Engine
Convex Loss Functions for Contextual Pricing with Observational Posted-Price Data
On Codes over Z p 2 and its Covering Radius
Approximating LZ77 in Small Space
AI as a teaching tool and learning partner
Reducing complexity of autonomous control agents for verifiability
From Linear Logic to Cyclic Sharing
LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation
DRAMA: Commodity DRAM based Content Addressable Memory
Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration
Apricot - An Object-Oriented Modeling Language for Hybrid Systems
Estimation of respiratory pattern from video using selective ensemble aggregation
Prototype-Guided Diffusion: Visual Conditioning without External Memory
Co-Emulation of Scan-Chain Based Designs Utilizing SCE-MI Infrastructure
SculptDrug : A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design
On the non-uniqueness of the instantaneous frequency
Unleashing Expert Opinion from Social Media for Stock Prediction
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
An Algebraic Characterization of Security of Cryptographic Protocols
ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
Independence number of intersection graphs of axis-parallel segments
Local Convergence of Adaptive Gradient Descent Optimizers
Decentralized Prediction Market without Arbiters
Stochastic Feature Mapping for PAC-Bayes Classification
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data
Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams
Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12nm FinFET
LASSR: Effective Super-Resolution Method for Plant Disease Diagnosis
On k-hypertournament losing scores
Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model
Finding Inverse Document Frequency Information in BERT
Custodes: Auditable Hypothesis Testing
Earning Maximization with Quality of Charging Service Guarantee for IoT Devices
Benchmarking and Survey of Explanation Methods for Black Box Models
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Revisiting the stability of computing the roots of a quadratic polynomial
On the Parikh-de-Bruijn grid
A comparative study of sensory encoding models for human navigation in virtual reality
PAL: Proxy-Guided Black-Box Attack on Large Language Models
Handwritten Character Recognition Using Unique Feature Extraction Technique
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue
Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data
On Capacity and Delay of Multi-channel Wireless Networks with Infrastructure Support
Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging
The Benefit of Being Bayesian in Online Conformal Prediction
On the evolution and impact of Architectural Smells - An industrial case study
XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference
A mesh-free particle method for continuum modeling of granular flow
eWaSR - an embedded-compute-ready maritime obstacle detection network
Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation
High-performance real-world optical computing trained by in situ model-free optimization
Multiple model software for airflow and thermal building simulation. A case study under tropical humid climate, in Réunion Island
Insect-Computer Hybrid Speaker: Speaker using Chirp of the Cicada Controlled by Electrical Muscle Stimulation
Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations
2-State 3-Color Universal Turing Machines Don't Exist
A Novel and Highly Efficient AES Implementation Robust against Differential Power Analysis
A Multipath TCP model for ns-3 simulator
Space-time model reduction in the frequency domain
Approximating the optimal competitive ratio for an ancient online scheduling problem
ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representations
Language models align with brain regions that represent concepts across modalities
Post-quantum hash functions using SL n F p
Speed of convergence of Chernoff approximations for two model examples: heat equation and transport equation
Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education
Vector Programming Using Structural Recursion
Normalisation de terminologies multilingues pour les TICE : techniques et enjeux
3-Colouring Planar Graphs
Extending Cross-Modal Retrieval with Interactive Learning to Improve Image Retrieval Performance in Forensics
Blindly Deconvolving Super-noisy Blurry Image Sequences
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Vibe Coding: Is Human Nature the Ghost in the Machine?
Round-Trip Energy Efficiency and Energy-Efficiency Fade Estimation for Battery Passport
Manipulation-Proof Machine Learning
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Resolving Referring Expressions in Images With Labeled Elements
PennyLane: Automatic differentiation of hybrid quantum-classical computations
Localizing Anomalies from Weakly-Labeled Videos
Context-Aware Decentralized Invariant Signaling for Opportunistic Communications
Improving Next Tokens via Second-Last Predictions with Generate and Refine
Optimization with soft Dice can lead to a volumetric bias
Data-driven Stabilization of Nitsche's Method
Efficient collision avoidance for autonomous vehicles in polygonal domains
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs
Introduction to Functional Grammars
A Semi-Supervised Approach for Low-Resourced Text Generation
An Elastic Ephemeral Datastore using Cheap, Transient Cloud Resources
A novel transformer-based approach for soil temperature prediction
UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs
Evaluating language models of tonal harmony
An Approach to Autonomous Science by Modeling Geological Knowledge in a Bayesian Framework
Fast Autoregressive Video Generation with Diagonal Decoding
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response
A Novel Play-out Algorithm for HTTP Adaptive Streaming
Priority Algorithms with Advice for Disjoint Path Allocation Problems
The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions
A framework for compressing unstructured scientific data via serialization
Scalable Automated Verification for Cyber-Physical Systems in Isabelle/HOL
A Hierarchical and Location-aware Consensus Protocol for IoT-Blockchain Applications
Biased RSA private keys: Origin attribution of GCD-factorable keys
Approximation of noisy data using multivariate splines and finite element methods
Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping
The Logical Impossibility of Consciousness Denial: A Formal Analysis of AI Self-Reports
A Robust Real-Time Lane Detection Method with Fog-Enhanced Feature Fusion for Foggy Conditions
RealisticDreamer: Guidance Score Distillation for Few-shot Gaussian Splatting
Max-Flow Protection using Network Coding
DeepSeek's WEIRD Behavior: The cultural alignment of Large Language Models and the effects of prompt language and cultural prompting
FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
On the Stealth of Unbounded Attacks Under Non-Negative-Kernel Feedback
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
Attentive Context Normalization for Robust Permutation-Equivariant Learning
Mapping AI Risk Mitigations: Evidence Scan and Preliminary AI Risk Mitigation Taxonomy
Multimodal Systems: Taxonomy, Methods, and Challenges
Non-equilibrium physics: from spin glasses to machine and neural learning
Count2Density: Crowd Density Estimation without Location-level Annotations
Adversarial Stress Testing of Lifetime Distributions
Sparse Linear Ensemble Systems and Structural Averaged Controllability: Single-input Case
Root-aligned SMILES for Molecular Retrosynthesis Prediction
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning
Stochastic Shortest Path with Sparse Adversarial Costs
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
See Beyond Seeing: Robust 3D Object Detection from Point Clouds via Cross-Modal Hallucination
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes
FAIR Begins at home: Implementing FAIR via the Community Data Driven Insights
Traffic Load Uniformity in Optical Packet Switched Networks
Efficient exploration via epistemic-risk-seeking policy optimization
Auto-Encoder-BoF/HMM System for Arabic Text Recognition
Asynchronous Risk-Aware Multi-Agent Packet Routing for Ultra-Dense LEO Satellite Networks
Unbiased Pain Assessment through Wearables and EHR Data: Multi-attribute Fairness Loss-based CNN Approach
Towards Symbolic Pointers Reasoning in Dynamic Symbolic Execution
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
A More Advanced Group Polarization Measurement Approach Based on LLM-Based Agents and Graphs
DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results
Super-resolution Using Constrained Deep Texture Synthesis
Heterogeneity in Multi-Robot Environmental Monitoring for Resolving Time-Conflicting Tasks
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network
RenderCore - a new WebGPU-based rendering engine for ROOT-EVE
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs
Fast Coefficient Computation for Algebraic Power Series in Positive Characteristic
Topological potentials guiding protein self-assembly
From Code to Play: Benchmarking Program Search for Games Using Large Language Models
CaPGNN: Optimizing Parallel Graph Neural Network Training with Joint Caching and Resource-Aware Graph Partitioning
Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making
Deep Reinforcement Learning Agents are not even close to Human Intelligence
Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks
Large Language Models Meet Computer Vision: A Brief Survey
Harmonic inversion helps to beat time-energy uncertainty relations
Bye-bye, Bluebook? Automating Legal Procedure with Large Language Models
Toward Parallel in Time for Chaotic Dynamical Systems
Simulations and Antichains for Efficient Handling of Finite Automata
Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting
Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics
Towards a Geometry Automated Provers Competition
l1-norm regularized l1-norm best-fit lines
USRN Discovery Pilot: Increasing the Discoverability of Open Access Content Through a National Network
Directing RF Terminals Using TELNET Applications
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior
Thompson Sampling for Gaussian Entropic Risk Bandits
Generating Probabilistic Safety Guarantees for Neural Network Controllers
Steady state behavior of the free recall dynamics of working memory
Constraint Functional Logic Programming over Finite Domains
Lyapunov Characterization for ISS of Impulsive Switched Systems
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets
An Iterative Linearised Solution to the Sinusoidal Parameter Estimation Problem
Solving a class of non-convex min-max games using adaptive momentum methods
Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains
SPIKY: A graphical user interface for monitoring spike train synchrony
On the quantum computational complexity of classical linear dynamics with geometrically local interactions: Dequantization and universality
The Generalized Cross Validation Filter
Building the EHR Foundation Model via Next Event Prediction
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
Asymptotic Network Independence in Distributed Optimization for Machine Learning
An Information-Theoretic Analysis of Thompson Sampling for Large Action Spaces
Energy Efficient Downlink Transmission for Multi-cell Massive DAS with Pilot Contamination
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression
Fast Recompilation of Object Oriented Modules
Promoting the linguistic diversity of TEI in the Maghreb and the Arab region
An Unmanned Aerial Vehicle as Human-Assistant Robotics System
Regular Polygon Surfaces
The properties of absolutely non-stochastic strings
Data Driven Coded Aperture Design for Depth Recovery
Longitudinal Monitoring of LLM Content Moderation of Social Issues
Towards Time-Aware Distant Supervision for Relation Extraction
Collision Avoidance Testing of the Waymo Automated Driving System
License Incompatibilities in Software Ecosystems
Surface Eigenvalues with Lattice-Based Approximation In comparison with analytical solution
Towards Healing the Blindness of Score Matching
Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks
(Non)-penalized Multilevel methods for non-uniformly log-concave distributions
Sparse Radial Sampling LBP for Writer Identification
Grassroots Platforms with Atomic Transactions: Social Networks, Cryptocurrencies, and Democratic Federations
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning
Discriminative out-of-distribution detection for semantic segmentation
NNS: The Case For Neural Network-based Sorting
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics
HWF-PIKAN: A Multi-Resolution Hybrid Wavelet-Fourier Physics-Informed Kolmogorov-Arnold Network for solving Collisionless Boltzmann Equation
ReIDMamba: Learning Discriminative Features with Visual State Space Model for Person Re-Identification