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Francesco D'Angelo

Identifiers

  • name variant Francesco D'Angelo 0.60 · backfill

Papers (23)

  1. Induction Heads Interpolate N-Grams cs.LG · 2026 · author #1
  2. Transformers Learn Latent Mixture Models In-Context via Mirror Descent cs.LG · 2026 · author #1
  3. Selective Induction Heads: How Transformers Select Causal Structures In Context cs.LG · 2025 · author #1
  4. An update on the determination of the sphaleron rate in finite temperature QCD hep-lat · 2024 · author #3
  5. Non-perturbative determination of the $N_f=2+1$ QCD sphaleron rate hep-lat · 2024 · author #2
  6. Chiral condensate from the spectrum of the staggered Dirac operator hep-lat · 2024 · author #2
  7. Sphaleron rate as an inverse problem: a novel lattice approach hep-lat · 2023 · author #2
  8. Why Do We Need Weight Decay in Modern Deep Learning? cs.LG · 2023 · author #1
  9. Sphaleron rate from lattice QCD hep-lat · 2023 · author #2
  10. The chiral condensate of $N_f=2+1$ QCD from the spectrum of the staggered Dirac operator hep-lat · 2023 · author #2
  11. Sphaleron rate of $N_f=2+1$ QCD hep-lat · 2023 · author #2
  12. Sphaleron rate from a modified Backus-Gilbert inversion method hep-lat · 2023 · author #2
  13. The QCD topological susceptibility at high temperatures via staggered fermions spectral projectors hep-lat · 2022 · author #5
  14. Topological susceptibility of $N_f=2+1$ QCD from staggered fermions spectral projectors at high temperatures hep-lat · 2022 · author #5
  15. Topology in high-$T$ QCD via staggered spectral projectors hep-lat · 2021 · author #5
  16. Uncertainty estimation under model misspecification in neural network regression cs.LG · 2021 · author #3
  17. On out-of-distribution detection with Bayesian neural networks cs.LG · 2021 · author #1
  18. Are Bayesian neural networks intrinsically good at out-of-distribution detection? cs.LG · 2021 · author #2
  19. Repulsive Deep Ensembles are Bayesian cs.LG · 2021 · author #1
  20. On Stein Variational Neural Network Ensembles cs.LG · 2021 · author #1
  21. Posterior Meta-Replay for Continual Learning cs.LG · 2021 · author #3
  22. Annealed Stein Variational Gradient Descent cs.LG · 2021 · author #1
  23. Learning the Ising Model with Generative Neural Networks cond-mat.dis-nn · 2020 · author #1

Mentions

  • 2607.02800 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2509.08184 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2412.13685 #3 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2310.04415 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2405.05857 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2308.01287 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2401.09480 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2312.15468 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2308.01303 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2309.13327 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2305.17120 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2106.11642 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2208.08921 #5 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2211.01673 #5 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2110.06020 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2112.02982 #5 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2111.11763 #3 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2103.01133 #3 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2107.12248 #2 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2106.10760 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2101.09815 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo
  • 2001.05361 #1 · arxiv_oai · confidence 0.70 Francesco D'Angelo

Frequent Coauthors