Rahul G. Krishnan
12 papers · 2018–2026 · 8 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(69)
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Architectures
(4)
Core AI
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Keywords
deep generative model
(2)
self-supervised learning
(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)
time series clustering
(1)
curriculum learning
(1)
sequential decision making
(1)
text mining
(1)
optimal transport
(1)
transfer learning
(1)
knowledge distillation
(1)
multimodal learning
(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
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
NeurIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NeurIPS 2024
DuETT: Dual Event Time Transformer for Electronic Health Records
MLHC 2023
Clustering Interval-Censored Time-Series for Disease Phenotyping
AAAI 2022
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
MLHC 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
MIDL 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
CVPR 2022
Using time-series privileged information for provably efficient learning of prediction models
AISTATS 2022
Neural Pharmacodynamic State Space Modeling
ICML 2021
Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics
MLHC 2018