Peter Belcak

NVIDIA Research

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I'm an AI researcher at NVIDIA. I was previously at Meta, ETH Zurich, and the University of Oxford.

Research

I currently focus on the reliability and efficiency of agentic systems. My past work revolved around efficiency of deep learning models, and the interface of the continuous and the discrete in deep learning, and agent-based financial modelling.

I'm active in professional service: please address reviewing/PC/talk requests at my email. I'm open to collaborations on position, opionion, and survey papers.

Selected Publications

Services

Grants Committee

NVIDIA Academic Grants Committee 2025

Program Committee

Foundations of Agentic Systems Theory @ NeurIPS 2025, Multi-Agent Security Workshop @ NeurIPS 2023

Reviewer

ACL ARR May 2025, NeurIPS 2025, ACL ARR February 2025, ICLR 2025, NeurIPS 2024 Datasets and Benchmarks, ICML 2024, NeurIPS 2023 Datasets and Benchmarks