Anthony Bonner
Associate Professor
Studies deep generative models and representation learning.
Anthony Bonner's lab at Toronto works on generative & foundation models. Applications close .
At a glance
- papers, 2023–2026
- —
- at T1 venues
- —
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by year2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Paper list
No papers from 2023–2026 are listed for this lab.
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
Similar labsnearest by research summary
- GBUCL
Carlo Ciliberto
- Learning theory & optimization
- USNYU
Sherry Yang
- Generative & foundation models
- USMIT
Patrick Jaillet
- Reinforcement learning
- CNPeking
Zongqing Lu
- Reinforcement learning
- USUT Austin
Constantine Caramanis
- Learning theory & optimization
- USUIUC
Ismini Lourentzou
- Robot perception & SLAM
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- No publication list could be matched on the lab site or in DBLP.
- Collected
- Verified
- Papers
- Not collected
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Torontocloses