NEWS
New Feature: Compare Your Institution with the Previous Year
Find a Professional: Explore Experts Across 197 Disciplines in 220 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
login
Login
person_add
Register
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
Siamak Ravanbakhsh
McGill University - Montreal / Canada
Engineering & Technology / Computer Science
AD Scientific Index ID: 657739
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Congresses (0)
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Siamak Ravanbakhsh's MOST POPULAR ARTICLES
1-)
Deep setsM Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ...Advances in neural information processing systems 30, 201717242017
2-)
Accurate, fully-automated NMR spectral profiling for metabolomicsS Ravanbakhsh, P Liu, R Mandal, JR Grant, M Wilson, R Eisner, ...PLoS ONE 10 (5), e0124219, 20152402015
3-)
Equivariance Through Parameter-SharingS Ravanbakhsh, J Schneider, B PoczosInternational Conference on Machine Learning (ICML) 70, 2892--2901, 20171942017
4-)
Learning to predict the cosmological structure formationS He, Y Li, Y Feng, S Ho, S Ravanbakhsh, W Chen, B PóczosProceedings of the National Academy of Sciences 116 (28), 13825-13832, 20192512019
5-)
Cmu deeplens: deep learning for automatic image-based galaxy–galaxy strong lens findingF Lanusse, Q Ma, N Li, TE Collett, CL Li, S Ravanbakhsh, R Mandelbaum, ...Monthly Notices of the Royal Astronomical Society 473 (3), 3895-3906, 20182172018
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept