Scholar
Gautam Singh
Google Scholar ID: lXpFxDwAAAAJ
ML Postdoctoral Researcher @ Lawrence Livermore National Lab
Citations & Impact
Citations
971
H-index
10
i10-index
10
Publications
15
Co-authors
19
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Selected Publications:
- - Dreamweaver: Learning Compositional World Representations from Pixels (ICLR 2025)
- - Slot State Space Models (NeurIPS 2024)
- - Parallelized Spatiotemporal Binding (ICML 2024)
- - Imagine the Unseen World: A Systematic Visual Imagination Benchmark (NeurIPS 2023)
- - Object-Centric Slot Diffusion (NeurIPS 2023, Spotlight)
- - Neural Systematic Binder (ICLR 2023)
- - Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos (NeurIPS 2022)
- - Illiterate DALL-E Learns to Compose (ICLR 2022)
- - Structured World Belief for Reinforcement Learning in POMDP (ICML 2021)
- - Robustifying Sequential Neural Processes (ICML 2020)
- - SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition (ICLR 2020)
- - Sequential Neural Processes (NeurIPS 2019, Spotlight)
Research Experience
- ML Postdoctoral Researcher @ Lawrence Livermore National Laboratory; Internships at NVIDIA Research and Amazon; Worked for three years at IBM Research; Joined as a research intern at NVIDIA Research in Sep 2023, collaborating with Gerry Che and Yue Wang.
Education
- B.Tech: IIT Guwahati; Ph.D. in Computer Science: Rutgers University, Advisor: Prof. Sungjin Ahn.
Background
- Research Interests: Generative models, system-2 reasoning, improving learning efficiency; applying machine learning to address long-term challenges that can positively impact humanity.
Miscellany
- Personal Interests: Not explicitly mentioned
