Leena Chennuru Vankadara
Lecturer
Researches the theory and science of scaling large neural networks and language models.
Leena Chennuru Vankadara's lab at UCL works on learning theory & optimization, computational neuroscience & cognition and neuroscience & brain-computer interfaces. 10 papers since 2023, 4 at top venues, mostly AISTATS and ICLR. 2 PhD students.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 40%
- PhD students
- 2
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 4 papers2024 · T1 2
- 1 papers2023 · T1 1
T1 venuesOtherVenues: AISTATS, ICLR, JMLR, NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization4 papers
- scaling3 papers
- Computational neuroscience & cognition0 papers
- Neuroscience & brain-computer interfaces0 papers
- gatsby0 papers
Paper list
From the lab homepage.
20264 papers
- NeurIPS & ICML HiLD WorkshopHow to Scale Mixture-of-Experts: From muP to the Maximally Scale-Stable Parameterization
- Sci4DL Workshop at ICLR & ICML HiLD WorkshopOptimal learning rate scaling depends on data in deep scalar linear networks
- IEEE Signal Processing Magazine.Training Neural Networks at Any Scale
- NeurIPS & ICML HiLD WorkshopWhy Routers Freeze: Infinite Width Learning Dynamics for Mixture of Experts
20251 paper
- NeurIPS (T1)On the surprising effectivess of large learning rates under standard width scaling
20244 papers
- NeurIPS & ICML HiLD WorkshopEffective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
- ICLR (T1)Explaining Kernel Clustering via Decision Trees
- NeurIPS & ICML NGSM WorkshopOn Feature Learning in Structured State Space Sequence Models
- AISTATS (T1)Self-compatibility: Evaluating causal discovery without ground truth
20231 paper
- JMLR (T1)Insights into Ordinal Embedding Algorithms - A Systematic Evaluation
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.