← Authors

Matthew Botvinick

23 papers · 2008–2023 · 3 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (3) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🧬 Topic Evolution πŸ† Keyword Champion 🌱 Topic Pioneer πŸ’Ž Century Club (23) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (74)

Conferences

ICLR (12) ICML (8) NIPS (3)

Top co-authors

Adam Santoro (4) Razvan Pascanu (3) Charles Blundell (3) Vinicius Zambaldi (3) Oriol Vinyals (3) Francis Song (3) Anirudh Goyal (3) Loic Matthey (3) Alexander Lerchner (3) Neil C. Rabinowitz (2)

Research topics

Applications (1)

Keywords

reinforcement learning (5) disentangled representation (2) theory of mind (2) bayesian inference (2) multi-agent reinforcement learning (1) sequence modeling (1) deep reinforcement learning (1) few-shot learning (1) transformer architecture (1) variational inference (1) domain adaptation (1) multi-task learning (1) computational neuroscience (1) decision making (1) density estimation (1) scene understanding (1) policy gradient (1) hierarchical learning (1) probabilistic inference (1) neural decoding (1)

Papers

Minimum Description Length Control ICLR 2023
Learning to Induce Causal Structure ICLR 2023
Perceiver IO: A General Architecture for Structured Inputs & Outputs ICLR 2022
General-purpose, long-context autoregressive modeling with Perceiver AR ICML 2022
Rapid Task-Solving in Novel Environments ICLR 2021
MEMO: A Deep Network for Flexible Combination of Episodic Memories ICLR 2020
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget ICLR 2020
Stabilizing Transformers for Reinforcement Learning ICML 2020
Environmental drivers of systematicity and generalization in a situated agent ICLR 2020
Multi-Object Representation Learning with Iterative Variational Inference ICML 2019
Relational Forward Models for Multi-Agent Learning ICLR 2019
Deep reinforcement learning with relational inductive biases ICLR 2019
InfoBot: Transfer and Exploration via the Information Bottleneck ICLR 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019
Been There, Done That: Meta-Learning with Episodic Recall ICML 2018
Machine Theory of Mind ICML 2018
SCAN: Learning Hierarchical Compositional Visual Concepts ICLR 2018
On the importance of single directions for generalization ICLR 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017
Meta-Learning with Memory-Augmented Neural Networks ICML 2016
Design Principles of the Hippocampal Cognitive Map NIPS 2014
A systematic approach to extracting semantic information from functional MRI data NIPS 2012
Goal-directed decision making in prefrontal cortex: a computational framework NIPS 2008