:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Daghero, Francesco, Moghaddam, Mahyar Tourchi, Kjærgaard, Mikkel Baun
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2604.26470
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward a Sustainable Software Architecture Community: Evaluating ICSA's Environmental Impact
by: Moghaddam, Mahyar T., et al.
Published: (2026)

Towards Analyzing N-language Polyglot Programs
by: Prakash, Jyoti, et al.
Published: (2026)

Precise Workcell Sketching from Point Clouds Using an AR Toolbox
by: Zieliński, Krzysztof, et al.
Published: (2024)

EcBot: Data-Driven Energy Consumption Open-Source MATLAB Library for Manipulators
by: Heredia, Juan, et al.
Published: (2025)

Designing Adaptive Digital Nudging Systems with LLM-Driven Reasoning
by: Santilli, Tiziano, et al.
Published: (2026)

Using Budgets to Reduce Application Emissions
by: Lierse, Leo Wilhelm, et al.
Published: (2026)

Using Mobile AR for Rapid Feasibility Analysis for Deployment of Robots: A Usability Study with Non-Expert Users
by: Zielinski, Krzysztof, et al.
Published: (2025)

RobotGraffiti: An AR tool for semi-automated construction of workcell models to optimize robot deployment
by: Zieliński, Krzysztof, et al.
Published: (2024)

Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
by: Daghero, Francesco, et al.
Published: (2024)

Ecoscape: Fault Tolerance Benchmark for Adaptive Remediation Strategies in Real-Time Edge ML
by: Reiter, Hendrik, et al.
Published: (2025)

Evaluating Robot Program Performance with Power Consumption Driven Metrics in Lightweight Industrial Robots
by: Heredia, Juan, et al.
Published: (2025)

Thompson sampling: Precise arm-pull dynamics and adaptive inference
by: Han, Qiyang
Published: (2026)

Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers
by: Daghero, Francesco, et al.
Published: (2025)

Transductive conformal inference with adaptive scores
by: Gazin, Ulysse, et al.
Published: (2023)

Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification
by: Entesari, Taha, et al.
Published: (2026)

Machine Learning-based feasibility estimation of digital blocks in BCD technology
by: Faraone, Gabriele, et al.
Published: (2024)

Enabling Waypoint Generation for Collaborative Robots using LLMs and Mixed Reality
by: Fang, Cathy Mengying, et al.
Published: (2024)

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
by: Risso, Matteo, et al.
Published: (2024)

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
by: Qi, Tong, et al.
Published: (2025)

RNE: plug-and-play diffusion inference-time control and energy-based training
by: He, Jiajun, et al.
Published: (2025)

An adaptive data sampling strategy for stabilizing dynamical systems via controller inference
by: Werner, Steffen W. R., et al.
Published: (2025)

Coupled autoregressive active inference agents for control of multi-joint dynamical systems
by: Nisslbeck, Tim N., et al.
Published: (2024)

HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays
by: Risso, Matteo, et al.
Published: (2024)

Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
by: Hamid, Asif, et al.
Published: (2023)

Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)

On Local Posterior Structure in Deep Ensembles
by: Jordahn, Mikkel, et al.
Published: (2025)

Online selective conformal inference: adaptive scores, convergence rate and optimality
by: Humbert, Pierre, et al.
Published: (2025)

FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs
by: Gowda, Dhananjaya, et al.
Published: (2025)

FLEXtime: Filterbank learning to explain time series
by: Brüsch, Thea, et al.
Published: (2024)

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
by: Jordahn, Mikkel, et al.
Published: (2024)

On Joint Regularization and Calibration in Deep Ensembles
by: Fredsgaard, Laurits, et al.
Published: (2025)

Practical Deep Heteroskedastic Regression
by: Jordahn, Mikkel, et al.
Published: (2026)

Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation
by: Cho, Soonhong, et al.
Published: (2024)

An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer
by: Shahriyar, Omid, et al.
Published: (2025)

A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
by: Ziarelli, Giovanni, et al.
Published: (2024)

Compositional simulation-based inference for time series
by: Gloeckler, Manuel, et al.
Published: (2024)

Integrated Experimental and Numerical Investigations on the Thermo-Hydro-Mechanical Behavior of Clays and Argillaceous Rocks: A Perspective
by: Tourchi, Saeed
Published: (2025)

Joint control variate for faster black-box variational inference
by: Wang, Xi, et al.
Published: (2022)

FreqRISE: Explaining time series using frequency masking
by: Brüsch, Thea, et al.
Published: (2024)

Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
by: Erturk, Eray, et al.
Published: (2025)