Valentina Zantedeschi

ServiceNow Research

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Valentina Zantedeschi (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@gmail.com
,
****@servicenow.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Researcher
ServiceNow Research (servicenow.com)
2022Present
 
Emeritus
University College London (ucl.ac.uk)
2021Present
 
Postdoc
INRIA (inria.fr)
20212022
 
PhD student
University Jean Monnet (univ-st-etienne.fr)
20152019
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Pascal Germain
****@ift.ulaval.ca
Present
 
Coauthor
Ambrish Rawat
****@ie.ibm.com
Present
 
Coauthor
Maria-Irina Nicolae
****@bosch.com
Present
 
Coauthor
Matt Kusner
****@gmail.com
Present
 
PhD Advisor
Remi Emonet
****@univ-st-etienne.fr
Present
 
PhD Advisor
Marc Sebban
****@univ-st-etienne.fr
Present
 
Coauthor
Vlad Niculae
****@uva.nl
Present
 
Coauthor
Luca Franceschi
****@amazon.de
2022Present
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

deep learning, atmospheric physics
Present
 
adversarial robustness, certified defenses
Present
 
decentralized learning, graph learning, multi-task learning
Present
 
kernel methods, kernel approximations
Present
 
learning theory, pac-bayesian guarantees
Present
 
causal discovery, causal representation learning
Present