TMTSP-L3.2
WHAT CAN BE RECOVERED UNDER SPARSE ADVERSARIAL CORRUPTION? ASSUMPTION-FREE THEORY FOR LINEAR MEASUREMENTS
Vishal Halder, Alexandre Reiffers-Masson, Abdeldjalil Aïssa-El-Bey, IMT Atlantique, France; Gugan Thoppe, Indian Institute of Science, India
Session:
Statistical Methods and Robust Estimation Lecture
Track:
9: TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Concert Hall
Session Time:
Wed, 2 Sep, 14:00 - 15:40
Presentation Time:
Wed, 2 Sep, 14:20 - 14:40
Session Chair:
Abdelhak Zoubir, Technische Universitat Darmstadt
Presentation
Discussion
Session TMTSP-L3
TMTSP-L3.1: Alternatives to the Normalized Matched Filter in Multitarget Scenarios based on Robust Noise Estimators
Simon Trottier, Jonathan Bosse, Olivier Rabaste, ONERA, France; Philippe Forster, Paris-Saclay University, France; Jean-Philippe Ovarlez, ONERA, France
TMTSP-L3.2: WHAT CAN BE RECOVERED UNDER SPARSE ADVERSARIAL CORRUPTION? ASSUMPTION-FREE THEORY FOR LINEAR MEASUREMENTS
Vishal Halder, Alexandre Reiffers-Masson, Abdeldjalil Aïssa-El-Bey, IMT Atlantique, France; Gugan Thoppe, Indian Institute of Science, India
TMTSP-L3.3: Architecture-Agnostic Robust Training of Normalizing Flows via the K-Divergence
Daniel Bilik, Koby Todros, Ben-Gurion University of the Negev, Israel
TMTSP-L3.4: A BAYESIAN MODEL FOR ORDER-BASED MODAL ANALYSIS
Alexandre Berezin, TéSA, Safran Aircraft Engines, France; Yann Rotrou, Safran Aircraft Engines, France; Jean-Yves Tourneret, INP-ENSEEIHT, IRIT, TéSA, France; François Vincent, ISAE-SUPAERO, France
TMTSP-L3.5: Optimized Certainty Equivalent Risk-Controlling Prediction Sets
Jiayi Huang, King's College London, United Kingdom; Amirmohammad Farzaneh, Osvaldo Simeone, Northeastern University London, United Kingdom
Resources
No resources available.