:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Åström, Oskar, Geldhauser, Carina, Grillitsch, Markus, Hall, Ola, Sopasakis, Alexandros
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.04288
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformers
by: Stark, Philipp, et al.
Published: (2025)

Improved Anomaly Detection through Conditional Latent Space VAE Ensembles
by: Åström, Oskar, et al.
Published: (2024)

Learning Traffic Anomalies from Generative Models on Real-Time Observations
by: Giasemis, Fotis I., et al.
Published: (2025)

Early-Scheduled Handover Preparation in 5G NR Millimeter-Wave Systems
by: Pjanić, Dino, et al.
Published: (2024)

Gradient is All You Need? How Consensus-Based Optimization can be Interpreted as a Stochastic Relaxation of Gradient Descent
by: Riedl, Konstantin, et al.
Published: (2023)

Regularizations of forward‐backward parabolic PDEs
by: Carina Geldhauser
Published: (2024)

Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques
by: Tang, W., et al.
Published: (2024)

Environment Agnostic Goal-Conditioning, A Study of Reward-Free Autonomous Learning
by: Åström, Hampus, et al.
Published: (2025)

The Impact of Semi-Supervised Learning on Line Segment Detection
by: Engman, Johanna, et al.
Published: (2024)

wav2pos: Sound Source Localization using Masked Autoencoders
by: Berg, Axel, et al.
Published: (2024)

Deep Learning-Enhanced for Amine Emission Monitoring and Performance Analysis in Industrial Carbon Capture Plants
by: Poudel, Lokendra, et al.
Published: (2025)

Dimension Reduction for Symbolic Regression
by: Kahlmeyer, Paul, et al.
Published: (2025)

Differentiated Pickup Point Offering for Emission Reduction in Last-Mile Delivery
by: Galiullina, Albina, et al.
Published: (2026)

A cross-domain recommender system using deep coupled autoencoders
by: Gkillas, Alexandros, et al.
Published: (2021)

Learning Multi-Target TDOA Features for Sound Event Localization and Detection
by: Berg, Axel, et al.
Published: (2024)

Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
by: Svensson, Emma, et al.
Published: (2024)

Machine Learning Techniques for Multifactor Analysis of National Carbon Dioxide Emissions
by: Xie, Wenjia, et al.
Published: (2025)

Quantitative Energy Prediction based on Carbon Emission Analysis by DPR Framework
by: Zhang, Xuanming
Published: (2023)

A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
by: Heuillet, Maxime, et al.
Published: (2025)

INTAROS & ICOS.
by: Johannessen, Truls
Published: (2018)

Randomized Confidence Bounds for Stochastic Partial Monitoring
by: Heuillet, Maxime, et al.
Published: (2024)

Neural Active Learning Meets the Partial Monitoring Framework
by: Heuillet, Maxime, et al.
Published: (2024)

Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models
by: Friesacher, Hannah Rosa, et al.
Published: (2024)

Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation
by: Boget, Yoann, et al.
Published: (2026)

ECOS DO OCO
by: Juliana Ciambra Rahe
Published: (2008)

Reduction Techniques for Survival Analysis
by: Piller, Johannes, et al.
Published: (2025)

GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction
by: Duan, Yifan, et al.
Published: (2026)

Fast Robust Kernel Regression through Sign Gradient Descent with Early Stopping
by: Allerbo, Oskar
Published: (2023)

Changing the Kernel During Training Leads to Double Descent in Kernel Regression
by: Allerbo, Oskar
Published: (2023)

Stable Time Series Prediction of Enterprise Carbon Emissions Based on Causal Inference
by: Hong, Zitao, et al.
Published: (2026)

A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
by: Khosravi, Hamed, et al.
Published: (2024)

OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
by: Yu, Zhaojian, et al.
Published: (2024)

Deep Graph Learning for Industrial Carbon Emission Analysis and Policy Impact
by: Zhang, Xuanming
Published: (2025)

Towards Holistic Disease Risk Prediction using Small Language Models
by: Björkdahl, Liv, et al.
Published: (2024)

A Rigorous, Tractable Measure of Model Complexity
by: Allerbo, Oskar, et al.
Published: (2026)

Is Supervised Learning Really That Different from Unsupervised?
by: Allerbo, Oskar, et al.
Published: (2025)

Learning rheological parameters of non-Newtonian fluids from velocimetry data
by: Kontogiannis, Alexandros, et al.
Published: (2024)

Geometric Deep Learning for Computer-Aided Design: A Survey
by: Heidari, Negar, et al.
Published: (2024)

Explaining Text Similarity in Transformer Models
by: Vasileiou, Alexandros, et al.
Published: (2024)

Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node
by: Charalampopoulos, Andreas, et al.
Published: (2024)