Siamak Ravanbakhsh
32 papers · 2014–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Siamak Ravanbakhsh?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Arnab Kumar Mondal, Mehran Shakerinava, Vineet Jain
15 papers
· 2021–2025
· ICML, NeurIPS, ICLR
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On the Identifiability of Causal Abstractions
AISTATS 2025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
ICLR 2025
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
ICLR 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
ICML 2024
Learning to Reach Goals via Diffusion
ICML 2024
On Diffusion Modeling for Anomaly Detection
ICLR 2024
Weight-Sharing Regularization
AISTATS 2024
Equivariance with Learned Canonicalization Functions
ICML 2023
Equivariant Adaptation of Large Pretrained Models
NeurIPS 2023
Lie Point Symmetry and Physics-Informed Networks
NeurIPS 2023
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
ICML 2022
Equivariant Networks for Crystal Structures
NeurIPS 2022
Structuring Representations Using Group Invariants
NeurIPS 2022
Utility Theory for Sequential Decision Making
ICML 2022
Equivariant Networks for Pixelized Spheres
ICML 2021
6 papers whose co-authors appear nowhere else under this name
E(3)-Equivariant Mesh Neural Networks
AISTATS 2024
SpeqNets: Sparsity-aware permutation-equivariant graph networks
ICML 2022
Equivariant Networks for Hierarchical Structures
NeurIPS 2020
Universal Equivariant Multilayer Perceptrons
ICML 2020
Improved Knowledge Graph Embedding Using Background Taxonomic Information
AAAI 2019
Deep Models of Interactions Across Sets
ICML 2018