Gautam Singh
lastname.firstname@rutgers.edu · CV · Twitter · LinkedIn · Github · Scholar
I am a final year Ph.D. candidate in the Department of Computer Science at Rutgers University, advised by Prof. Sungjin Ahn. ✨ I am on the job market for industry research positions and post-doc positions. ✨
I am interested in perception and world modeling from unstructured sensory inputs (e.g., vision) for supporting generalization to out-of-distribution and long-tail scenarios in agent learning tasks. I pursue unsupervised learning or self-supervised learning approaches and try to develop scalable architectures to harness the full potential of all available unlabeled data and large-scale training in the long run. Towards perception, I have focused on two important aspects of the structure of the physical world for learning scene representations: object-centric modularity and awareness of the 3D space and time.
I am currently a part-time Research Intern at NVIDIA Research - Autonomous Vehicle Research Group. I spent the summer of 2021 as an Applied Scientist Intern at Amazon. Before starting a Ph.D. in 2018, I was a researcher at IBM India Research Lab (IRL). In 2015, I received a Bachelor of Technology degree from IIT Guwahati. I also spent a summer at KAIST as a research intern in 2014.
Recent News
- Feb 2024: Our new work, Parallelized Spatiotemporal Binding, is now on arXiv!
- Sep 2023: Joined as a research intern at NVIDIA Research collaborating with Gerry Che and Yue Wang.
- May 2023: Gave a talk at the Toronto AI in Robotics (AIR) seminar, focusing on representation learning for systematic generalization. YouTube link here!
- Feb 2023: We have released the code and datasets for our ICLR'23 paper Neural Systematic Binder here!
Selected Publications
Equal contributions are denoted using {}.2024
- Parallelized Spatiotemporal Binding
2023
- Imagine the Unseen World: A Systematic Visual Imagination Benchmark
- {Yeongbin Kim, Gautam Singh}, Junyeong Park, Caglar Gulcehre, Sungjin Ahn
- NeurIPS 2023
- Object-Centric Slot Diffusion
- Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
- NeurIPS 2023 (Spotlight) [pdf]
- Neural Systematic Binder
2022
- Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
- Illiterate DALL-E Learns to Compose
2021
- Structured World Belief for Reinforcement Learning in POMDP
2020
- Robustifying Sequential Neural Processes
- Jaesik Yoon, Gautam Singh, Sungjin Ahn
- ICML 2020 [pdf]
- SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
2019
- Sequential Neural Processes
Media
Service
- Conference Reviewer: ICML24, NeurIPS23, ICLR23, NeurIPS22, ICML22
- Workshop Reviewer: OSC@ICLR22