Sotabase

Career

· Research Scientist, Anthropic
· Research Scientist, Google Brain
· Senior Staff Scientist, Google DeepMind
· PhD in Electrical and Computer Engineering, Rice University
· Founder and CTO, Ricursive Intelligence
· BSc in Electrical Engineering, Sharif University of Technology
· Assistant Professor, Stanford University

Publications (225)

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
International Conference on Learning Representations · 2017
3,869
cited
Constitutional AI: Harmlessness from AI Feedback
arXiv.org · 2022
2,410
cited
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
A graph placement methodology for fast chip design
Nature · 2021
676
cited
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
arXiv.org · 2024
614
cited
Device Placement Optimization with Reinforcement Learning
International Conference on Machine Learning · 2017
476
cited
FLAME: Taming Backdoors in Federated Learning
USENIX Security Symposium · 2022
390
cited
Representing Long-Range Context for Graph Neural Networks with Global Attention
Neural Information Processing Systems · 2022
380
cited
Chip Placement with Deep Reinforcement Learning
arXiv.org · 2020
241
cited
SAFELearn: Secure Aggregation for private FEderated Learning
2021 IEEE Security and Privacy Workshops (SPW) · 2021
233
cited
The Capacity for Moral Self-Correction in Large Language Models
arXiv.org · 2023
195
cited
Measuring Progress on Scalable Oversight for Large Language Models
arXiv.org · 2022
177
cited
A Hierarchical Model for Device Placement
International Conference on Learning Representations · 2018
163
cited
CHESS: Contextual Harnessing for Efficient SQL Synthesis
arXiv.org · 2024
145
cited
Deep Mixture of Experts via Shallow Embedding
Conference on Uncertainty in Artificial Intelligence · 2018
135
cited
A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection
IEEE Transactions on Information Forensics and Security · 2011
118
cited
This paper is included in the Proceedings of the 31st USENIX Security Symposium.
2022
87
cited
FLGUARD: Secure and Private Federated Learning
IACR Cryptology ePrint Archive · 2021
85
cited
Training of physical neural networks
Nature · 2024
71
cited
Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs
Annual IEEE International Conference on Pervasive Computing and Communications · 2013
69
cited
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