Martin Ester
8 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Half
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(16)
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Research topics
Keywords
generative flow network
(2)
node classification
(2)
link prediction
(2)
kl divergence
(1)
graph representation
(1)
pretraining
(1)
covariate shift
(1)
generative model
(1)
drug discovery
(1)
molecular generation
(1)
counterfactual regression
(1)
inference acceleration
(1)
virtual screening
(1)
generative flow
(1)
network embedding
(1)
network representation learning
(1)
individual treatment effect
(1)
cpu inference
(1)
balanced representation
(1)
synthetic accessibility
(1)
Papers
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
ICML 2025
Generative Flows on Synthetic Pathway for Drug Design
ICLR 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
ICML 2025
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
AAAI 2024
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
ICLR 2024
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
AAAI 2020
ANRL: Attributed Network Representation Learning via Deep Neural Networks
IJCAI 2018
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction
EMNLP 2014