• Risk-aware model ranking
  A. Nitsure, Y. Mroueh, M. Rigotti, K.H. Greenewald, B.M. Belgodere, M. Yurochkin, J. Navratil, I. Melnyk, J. Ross
  US Patent App. 18/753,001, 2025

• Layer normalization for calibrated uncertainty in deep learning
  T. Frick, M. Rigotti, D.M. Antognini, I. Giurgiu, A.C.I. Malossi
  US Patent App. 18/470,714, 2025

• Generating causal association rankings using dynamic embeddings
  J. Navratil, K. Shanmugam, N. Abe, Y. Mroueh, M. Rigotti, I. Padhi
  US Patent App. 20240193411, 2024

• Weak Learning from Data Annotation Interactions
  K. Janouskova, I. Giurgiu, M. Rigotti, C. Malossi
  US Patent Reference P202107147US01, 2022

• Explainability Using Concept Transformers
  M. Rigotti, I. Giurgiu, T. Gschwind, C. Miksovic, P. Scotton
  US Patent App. 17/956,857, 2022

• Neural networks with analog and digital modules
  M. Rasch, M. Rigotti
  US Patent App. 17/362,684, 2022

• Leveraging explanations for training of an AI system
  M. Rigotti, C. Miksovic, F. Janicki, C. Malossi, P. Scotton, T. Frick, T. Gschwind
  US Patent App. 17/323,364, 2021

• False detection rate control with null-hypothesis
  Y. Mroueh, T. Sercu, M. Rigotti, I. Padhi, C. dos Santos
  US Patent App. 16/600,479, 2021

• Feature selection using Sobolev independence criterion
  Y. Mroueh, T. Sercu, M. Rigotti, I. Padhi, C. dos Santos
  US Patent App. 11/645,555, 2021

• Layer-Wise Distillation for Protecting Pre-Trained Neural Network Models
  S. Chakraborty, M. Rigotti
  US Patent App. 16/367,448, 2020

• Acceleration of Convolutional Neural Networks on Analog Arrays
  M. Rasch, T. Gokmen, M. Rigotti, W. Haensch
  US Patent App. 16/362,031, 2019