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← Authors

Siamak Ravanbakhsh

32 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
πŸƒ Academic Marathon (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ’Ž Century Club (32) πŸ—ƒοΈ Keyword Collector (114) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ”₯ Unstoppable (12)

Conferences

ICML (13) NIPS (9) AISTATS (5) ICLR (3) AAAI (1) JMLR (1)

Top co-authors

Russell Greiner (5) Arnab Kumar Mondal (5) BarnabΓ‘s PΓ³czos (5) Mehran Shakerinava (4) Siba Smarak Panigrahi (3) Vineet Jain (3) Christopher Srinivasa (3) Jeff Schneider (3) SΓ©kou-Oumar Kaba (3) Kaleem Siddiqi (2)

Keywords

representation learning (6) message passing (5) equivariant network (4) factor graph (3) graph neural network (3) group theory (3) combinatorial optimization (3) equivariant neural network (3) belief propagation (3) constraint satisfaction problem (2) point cloud classification (2) inductive bia (2) semantic segmentation (2) message passing algorithm (2) matrix completion (2) graphical model (2) deep learning (2) survey propagation (2) permutation equivariance (2) parameter sharing (2)

Papers

On the Identifiability of Causal Abstractions AISTATS 2025 SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models ICLR 2025 E(3)-Equivariant Mesh Neural Networks AISTATS 2024 Efficient Dynamics Modeling in Interactive Environments with Koopman Theory ICLR 2024 On Diffusion Modeling for Anomaly Detection ICLR 2024 Learning to Reach Goals via Diffusion ICML 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 Weight-Sharing Regularization AISTATS 2024 Equivariance with Learned Canonicalization Functions ICML 2023 Lie Point Symmetry and Physics-Informed Networks NIPS 2023 Equivariant Adaptation of Large Pretrained Models NIPS 2023 Structuring Representations Using Group Invariants NIPS 2022 SpeqNets: Sparsity-aware permutation-equivariant graph networks ICML 2022 Utility Theory for Sequential Decision Making ICML 2022 Equivariant Networks for Crystal Structures NIPS 2022 EqR: Equivariant Representations for Data-Efficient Reinforcement Learning ICML 2022 Equivariant Networks for Pixelized Spheres ICML 2021 Universal Equivariant Multilayer Perceptrons ICML 2020 Equivariant Networks for Hierarchical Structures NIPS 2020 Improved Knowledge Graph Embedding Using Background Taxonomic Information AAAI 2019 Deep Models of Interactions Across Sets ICML 2018 Min-Max Propagation NIPS 2017 Equivariance Through Parameter-Sharing ICML 2017 Deep Sets NIPS 2017 Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016 Survey Propagation beyond Constraint Satisfaction Problems AISTATS 2016 Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016 Estimating Cosmological Parameters from the Dark Matter Distribution ICML 2016 Perturbed Message Passing for Constraint Satisfaction Problems JMLR 2015 Embedding Inference for Structured Multilabel Prediction NIPS 2015 Min-Max Problems on Factor Graphs ICML 2014 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NIPS 2014