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 interested in generative models that embrace compositionality with minimal supervision and are capable of systematic and productive generalization with respect to the data they were trained on. More broadly, I am interested in all aspects of machine learning that may be relevant for building human-like general intelligence and for addressing difficult challenges in any application area that has the potential to make a positive long-term impact on humanity.
Recently, I have interned at NVIDIA Research and Amazon. Before starting a Ph.D. in 2018, I was a researcher at IBM Research - India. In 2015, I earned a B.Tech degree from IIT Guwahati. I have also spent summers at IIT Madras and KAIST as a research intern in 2013 and 2014, respectively.
Recent News
- May 2024: Our work, Parallelized Spatiotemporal Binding, has now been accepted at ICML 2024!
- 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 University of 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
- Slot State Space Models
- 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