Eric Schulz

17 papers · 2016–2025 · 3 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🏃 Academic Marathon (9) 🐝 Cross-Pollinator (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🌈 Renaissance Researcher (6)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🏃 Academic Marathon (9) 👑 Triple Crown 🤝 Dynamic Duo (10) ⚡ Prolific Year (6) 💎 Century Club (17)

Conferences

NIPS (8) ICML (5) ICLR (4)

Top co-authors

Marcel Binz (10) Tankred Saanum (4) Julian Coda-Forno (3) Zeynep Akata (3) Luca M. Schulze Buschoff (3) Peter Dayan (3) Akshay Kumar Jagadish (3) Konstantinos Voudouris (2) Noemi Elteto (2) Mirko Thalmann (2)

Keywords

representation learning (2) transfer learning (1) bias detection (1) few-shot learning (1) gaussian process (1) cognitive modeling (1) reinforcement learning (1) prompt learning (1) fine-tuning (1) visual cognition (1) stochastic optimization (1) mutual information (1) continuous control (1) model-based reinforcement learning (1) bayesian regression (1) data compression (1) multi-armed bandit (1) autoregressive model (1) sequential datum (1) information theory (1)

Papers

metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models ICLR 2025 Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models ICML 2025 Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models ICLR 2025 Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences ICLR 2025 Turning large language models into cognitive models ICLR 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models NIPS 2024 Evaluating alignment between humans and neural network representations in image-based learning tasks NIPS 2024 CogBench: a large language model walks into a psychology lab ICML 2024 Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks ICML 2024 In-Context Learning Agents Are Asymmetric Belief Updaters ICML 2024 The Acquisition of Physical Knowledge in Generative Neural Networks ICML 2023 In-Context Impersonation Reveals Large Language Models' Strengths and Biases NIPS 2023 Reinforcement Learning with Simple Sequence Priors NIPS 2023 Meta-in-context learning in large language models NIPS 2023 Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking NIPS 2022 Modeling Human Exploration Through Resource-Rational Reinforcement Learning NIPS 2022 Probing the Compositionality of Intuitive Functions NIPS 2016