Vijil Chenthamarakshan
15 papers · 2010–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
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Triple Crown
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Grand Slam
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Dynamic Duo
(12)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
ποΈ
Keyword Collector
(78)
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(8)
Artificial Intelligence
(7)
Core Methods
(7)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Architectures
(4)
Models
(4)
Techniques
(4)
Application Areas
(3)
Healthcare & Medicine
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Research
(2)
Natural Language Processing
(1)
Keywords
generative model
(3)
transfer learning
(3)
protein sequence
(2)
representation learning
(2)
pre-trained model
(2)
denoising diffusion model
(2)
protein structure
(2)
style transfer
(1)
test-time adaptation
(1)
contrastive learning
(1)
feature matching
(1)
adversarial training
(1)
group theory
(1)
protein representation
(1)
multi-label classification
(1)
adversarial learning
(1)
label prediction
(1)
episodic memory
(1)
text generation
(1)
mutual information
(1)
Papers
GP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance
AAAI 2026
Aligning Protein Conformation Ensemble Generation with Physical Feedback
ICML 2025
Larimar: Large Language Models with Episodic Memory Control
ICML 2024
Multi-Scale Representation Learning for Protein Fitness Prediction
NeurIPS 2024
Efficient Equivariant Transfer Learning from Pretrained Models
NeurIPS 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
AAAI 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
NeurIPS 2023
Protein Representation Learning by Geometric Structure Pretraining
ICLR 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
ICML 2023
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
ICML 2021
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NeurIPS 2020
Learning Implicit Text Generation via Feature Matching
ACL 2020
A Sequential Set Generation Method for Predicting Set-Valued Outputs
AAAI 2019
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation
COLING 2010
Urdu and Hindi: Translation and sharing of linguistic resources
COLING 2010