Rylan Schaeffer
14 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (6)
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(6)
👥
Mega-Team
(34)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
💎
Century Club
(14)
❓
The Questioner
(3)
Conferences
NIPS (6)
ICML (5)
ICLR (2)
UAI (1)
Top co-authors
Research topics
Keywords
large language model
(3)
recurrent neural network
(2)
bayesian nonparametrics
(2)
bayesian inference
(2)
grid cell
(2)
online inference
(2)
computational neuroscience
(1)
loss function optimization
(1)
adversarial robustness
(1)
toxicity detection
(1)
knowledge distillation
(1)
deep learning
(1)
markov chain monte carlo
(1)
indian buffet process
(1)
variational inference
(1)
deep learning model
(1)
self-supervised learning
(1)
feature models
(1)
streaming inference
(1)
chinese restaurant process
(1)
Papers
How Do Large Language Monkeys Get Their Power (Laws)?
ICML 2025
Uncovering Latent Memories in Large Language Models
ICLR 2025
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
ICLR 2025
Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
ICML 2025
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
ICML 2025
Many-shot Jailbreaking
NIPS 2024
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
NIPS 2023
Are Emergent Abilities of Large Language Models a Mirage?
NIPS 2023
Emergence of Sparse Representations from Noise
ICML 2023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
NIPS 2023
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
NIPS 2022
Streaming Inference for Infinite Feature Models
ICML 2022
Efficient online inference for nonparametric mixture models
UAI 2021
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
NIPS 2020