Four papers accepted at ICML 2024!
Four of our Papers got accepted at this year's ICML!
Published on May 02, 2024 by muniq.ai
icml papers
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Accepted papers:
- Generalizing Orthogonalization for Models with Non-linearities with Chris Kolb and Tobias Weber
- Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI
- Position Paper: Rethinking Empirical Research in Machine Learning: Addressing Epistemic and Methodological Challenges of Experimentation
- Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? with Emanuel and Lisa
We will upload the paper to Arxiv within the next few days!