Daniel Moyer
10 papers · 2018–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (5)
MIDL (4)
AAAI (1)
Top co-authors
Keywords
neural network
(2)
invariant representation
(2)
adversarial training
(2)
representation learning
(1)
structure learning
(1)
brain connectivity
(1)
information bottleneck
(1)
multimodal learning
(1)
multi-modal learning
(1)
brain decoding
(1)
covariance estimation
(1)
landmark detection
(1)
multiple instance learning
(1)
mutual information
(1)
bias correction
(1)
epistemic uncertainty
(1)
rate distortion
(1)
functional mri
(1)
functional magnetic resonance imaging
(1)
adversarial learning
(1)
Papers
ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images
MIDL 2026
UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction
MIDL 2026
Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation
MIDL 2026
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
NIPS 2024
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
MIDL 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
NIPS 2023
Invariant Representations through Adversarial Forgetting
AAAI 2020
Fast structure learning with modular regularization
NIPS 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
NIPS 2019
Invariant Representations without Adversarial Training
NIPS 2018