Eva Dyer
8 papers · 2019–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Models
(2)
Optimization
(2)
Science
(2)
Keywords
self-supervised learning
(4)
neural decoding
(4)
representation learning
(3)
optimal transport
(2)
multi-task learning
(2)
distribution alignment
(2)
transformer architecture
(2)
hierarchical alignment
(1)
behavior analysis
(1)
semantic segmentation
(1)
multimodal distribution
(1)
transfer learning
(1)
neural dynamics
(1)
brain-computer interface
(1)
neural population
(1)
neural activity
(1)
neural population decoding
(1)
action prediction
(1)
few-shot learning
(1)
time series analysis
(1)
Papers
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NeurIPS 2024
A Unified, Scalable Framework for Neural Population Decoding
NeurIPS 2023
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
NeurIPS 2023
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
NeurIPS 2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
NeurIPS 2022
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
NeurIPS 2021
Making transport more robust and interpretable by moving data through a small number of anchor points
ICML 2021
Hierarchical Optimal Transport for Multimodal Distribution Alignment
NeurIPS 2019