Viktor Zaverkin
6 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Keywords
interatomic potential
(2)
variational inference
(1)
gaussian process
(1)
message passing
(1)
machine learning
(1)
gpu implementation
(1)
batch active learning
(1)
neural network regression
(1)
molecule property prediction
(1)
taylor expansion
(1)
weakly supervised
(1)
distance geometry
(1)
graph neural network
(1)
real-world application
(1)
cartesian tensor
(1)
ab initio
(1)
graph foundation model
(1)
atomistic simulation
(1)
over smoothing
(1)
equivariant message passing
(1)
Papers
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
ICML 2025
Physics-Informed Weakly Supervised Learning For Interatomic Potentials
ICML 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
ICML 2025
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
NeurIPS 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
ICML 2024
A Framework and Benchmark for Deep Batch Active Learning for Regression
JMLR 2023