Rahul G. Krishnan
12 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (9)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
💎
Century Club
(11)
🗃️
Keyword Collector
(66)
⚡
Prolific Year
(5)
🔥
Unstoppable
(5)
Conferences
MLHC (3)
MIDL (2)
NIPS (2)
AAAI (1)
AISTATS (1)
CVPR (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
self-supervised learning
(2)
deep generative model
(2)
hierarchical structure
(2)
representation learning
(2)
hierarchical learning
(1)
vision transformer
(1)
zero-shot learning
(1)
natural language processing
(1)
reinforcement learning
(1)
scene understanding
(1)
bayesian inference
(1)
curriculum learning
(1)
sequential decision making
(1)
optimal transport
(1)
text mining
(1)
transfer learning
(1)
knowledge distillation
(1)
multimodal learning
(1)
multi-label classification
(1)
contrastive learning
(1)
Papers
Unpaired Multimodal Learning for Biological Datasets
MIDL 2026
Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models
ICCV 2025
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NIPS 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
NIPS 2024
DuETT: Dual Event Time Transformer for Electronic Health Records
MLHC 2023
Using time-series privileged information for provably efficient learning of prediction models
AISTATS 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
MIDL 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
CVPR 2022
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
MLHC 2022
Clustering Interval-Censored Time-Series for Disease Phenotyping
AAAI 2022
Neural Pharmacodynamic State Space Modeling
ICML 2021
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics
MLHC 2018