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Niccol\`o Dalmasso

Identifiers

  • name variant Niccol\`o Dalmasso 0.60 · backfill

Papers (22)

  1. Breaking Distortion-free Watermarks in Large Language Models cs.CR · 2025 · author #5
  2. Mixup Regularization: A Probabilistic Perspective cs.LG · 2025 · author #2
  3. Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction cs.LG · 2024 · author #4
  4. Synthetic Data Applications in Finance cs.LG · 2023 · author #4
  5. Fair Wasserstein Coresets stat.ML · 2023 · author #2
  6. FairWASP: Fast and Optimal Fair Wasserstein Pre-processing cs.LG · 2023 · author #2
  7. Deep Gaussian Mixture Ensembles stat.ML · 2023 · author #2
  8. Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe cs.LG · 2022 · author #2
  9. Online Learning for Mixture of Multivariate Hawkes Processes stat.ML · 2022 · author #2
  10. Differentially Private Learning of Hawkes Processes stat.ML · 2022 · author #3
  11. Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings stat.ML · 2022 · author #2
  12. Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference stat.ML · 2021 · author #1
  13. When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments stat.ME · 2021 · author #2
  14. Diagnostics for Conditional Density Models and Bayesian Inference Algorithms stat.ME · 2021 · author #2
  15. HECT: High-Dimensional Ensemble Consistency Testing for Climate Models stat.AP · 2020 · author #1
  16. Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning cs.LG · 2020 · author #2
  17. Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting stat.ME · 2020 · author #1
  18. Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic stat.ML · 2019 · author #2
  19. Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference astro-ph.IM · 2019 · author #1
  20. A Flexible Pipeline for Prediction of Tropical Cyclone Paths stat.AP · 2019 · author #1
  21. Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations stat.ME · 2019 · author #1
  22. Clarifying the Hubble constant tension with a Bayesian hierarchical model of the local distance ladder astro-ph.CO · 2017 · author #3

Mentions

  • 2501.00555 #4 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2502.13825 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2502.18608 #5 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2107.03920 #1 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2311.05436 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2311.00109 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2401.00081 #4 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 1910.08597 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2306.07235 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2212.06081 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2208.07961 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2207.13741 #3 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2202.05049 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2102.10473 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2104.01921 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2002.10399 #1 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2010.05783 #2 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 2010.04051 #1 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 1905.11505 #1 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 1908.11523 #1 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 1906.08832 #1 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso
  • 1707.00007 #3 · arxiv_oai · confidence 0.70 Niccol\`o Dalmasso

Frequent Coauthors