David Duvenaud
Associate Professor
Studies probabilistic deep learning, including neural ordinary differential equations, and AI safety.
David Duvenaud's lab at Toronto works on probabilistic & causal inference and trustworthy & safe ML. 7 papers since 2023, 6 at top venues, mostly NeurIPS and ICML. 19 alumni, most often to Google DeepMind and Google. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 86%
- PhD students
- —
- MS students
- —
- alumni listed
- 19
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 0 papers2025 · T1 0
- 5 papers2024 · T1 4
- 1 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML, ICLR
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference0 papers
- Trustworthy & safe ML0 papers
- equations0 papers
- differential equations0 papers
- differential0 papers
Paper list
From the lab homepage.
20261 paper
- ICML (T1)Who's in Charge? Disempowerment Patterns in Real-World LLM Usage
20245 papers
- ICML (T1)Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs
- NeurIPS (T1)LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
- NeurIPS (T1)Many-shot Jailbreaking
- sabotage capabilitiesSabotage Evaluations for Frontier Models
- ICLR (T1)Towards Understanding Sycophancy in Language Models
20231 paper
- NeurIPS (T1)Tools for Verifying Neural Models' Training Data
Where alumni went19 listed, 67% to industry
Industry 8Academia 4
Most often to
- Google DeepMind
- NVIDIA
Also to
- Stanford University
- MIT
- Princeton University
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.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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