Eva L Dyer

7 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17)

Venues

ICLR (4) ICML (3)

Top co-authors

Mehdi Azabou (4) Ran Liu (3) Shantanu Thakoor (2) Michal Valko (2) Cole Lincoln Hurwitz (2) Hanrui Lyu (2) International Brain Laboratory (2) Petar Veličković (2) Chi-Heng Lin (2) Liam Paninski (2)

Research topics

Deep Learning (6) Artificial Intelligence (5) Machine Learning (5) Core Methods (5) Architectures (4) Core AI (3) Learning Paradigms (3) Learning Types · Machine Learning (3) Learning Types · Deep Learning (2) Interdisciplinary (1) Optimization & Theory (1) Science (1)

Keywords

self-supervised learning (2) neural activity (2) graph neural network (2) multi-task learning (1) transfer learning (1) embedding (1) graph representation learning (1) data augmentation (1) time series classification (1) message passing (1) brain decoding (1) brain regions (1) multivariate time series (1) cell type classification (1) negative example (1) heterophilic graph (1) time series regression (1) pretrained encoder (1) graph upsampling (1) multimodal contrastive learning (1)

Papers

In vivo cell-type and brain region classification via multimodal contrastive learning ICLR 2025 Multi-session, multi-task neural decoding from distinct cell-types and brain regions ICLR 2025 Neural Encoding and Decoding at Scale ICML 2025 Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance ICML 2024 GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings ICLR 2024 Half-Hop: A graph upsampling approach for slowing down message passing ICML 2023 Large-Scale Representation Learning on Graphs via Bootstrapping ICLR 2022