Jonas Dora, PhD
  • Bio
  • Publications
  • Talks
  • Projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • Effort expenditure decreases risk aversion when dealing with gains but not losses
    • How people decide to consume (more) alcohol when feeling stressed
    • The influence of drinking consequences on alcohol expectancy likelihoods and valences: an item-level multi-level approach
    • Characterizing the momentary association between loneliness, depression, and social interactions: Insights from an ecological momentary assessment study
    • An experimental investigation into the effect of negative affect on the behavioral economic demand for alcohol
    • Negative urgency as a state-level process
    • A Tutorial on Analyzing Ecological Momentary Assessment Data in Psychological Research With Bayesian (Generalized) Mixed-Effects Models
    • Modeling the value-based decision to consume alcohol in response to emotional experiences
    • The daily association between affect and alcohol use: A meta-analysis of individual participant data
    • Exploring associations between affect and marijuana use in everyday life via specification curve analysis
    • Accelerating addiction research via Open Science and Team Science
    • The effect of opportunity costs on mental fatigue in labor/leisure trade-offs
    • A meta-analysis on the affect regulation function of real-time self-injurious thoughts and behaviours
    • Harmonization of Theory, Methods, and Inferences in Addictions Research
    • No evidence for trait- and state-level urgency moderating the daily association between negative affect and subsequent alcohol use in two college samples
    • Fatigue, boredom and objectively measured smartphone use at work
    • 20,000 leagues under the sea: Sleep, cognitive performance, and self-reported recovery status during a 67-day military submarine mission
    • Labor/leisure decisions in their natural context: The case of the smartphone
    • Characterizing Work-Related Smartphone Use at Home and Private Smartphone Use at Work Using Latent Class Analysis
    • Social Smartphone Apps Do Not Capture Attention Despite Their Perceived High Reward Value
    • Mind-Wandering and Mindfulness as Mediators of the Relationship Between Online Vigilance and Well-Being
  • Talks
    • Multiple Imputation in EMA research - A practical introduction for applied researchers
    • Testing the robustness of daily associations of affect with alcohol and cannabis use
    • Interdisciplinary collaboration strengthens ambulatory assessment research: Challenges and lessons learned from substance use and addictions researchers
    • Improving our understanding of the etiology of problematic alcohol use via alcohol’s reinforcement value in longitudinal and experimental data
    • Open Science lessons for accelerating EMA/ESM research from a NIDA-funded study on alcohol and marijuana use
    • The past, present, and future of studying the affect-alcohol use association in intensive longitudinal data: A friendly debate among collaborators
    • A collaborative, preregistered meta-analysis on the daily association between affect and alcohol use in everyday life
  • Teaching
    • Learn JavaScript
    • Learn Python

PyTorch

Oct 26, 2023 · 1 min read
Go to Project Site

PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on Apr 8, 2025
Hugo Wowchemy Markdown
Jonas Dora
Authors
Jonas Dora
Assistant Professor
← Pandas Oct 26, 2023
scikit-learn Oct 26, 2023 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.