Ankur Sikarwar

According to our database, Ankur Sikarwar authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning.

Qian Yang, Ankur Sikarwar, Huy Le, Le Zhang, Zhuan Shi, Perouz Taslakian, Aishwarya Agrawal

CoRR, May, 2026

Communicating about Space: Language-Mediated Spatial Integration Across Partial Views.

Ankur Sikarwar, Debangan Mishra, Sudarshan Nikhil, Ponnurangam Kumaraguru, Aishwarya Agrawal

CoRR, March, 2026

2025

The Promise of RL for Autoregressive Image Editing.

Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan A. Rodríguez, Sai Rajeswar Mudumba, Siva Reddy, Chris Pal, Benno Krojer, Aishwarya Agrawal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory.

Ankur Sikarwar, Mengmi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Learn: How to Continuously Teach Humans and Machines.

Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning to Learn: How to Continuously Teach Humans and Machines.

Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

CoRR, 2022

Human or Machine? Turing Tests for Vision and Language.

Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendáriz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Andrei Barbu, Haochen Yang, Tanishq Kumar, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman

CoRR, 2022

Reason from Context with Self-supervised Learning.

Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang

CoRR, 2022

On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering.

Ankur Sikarwar, Gabriel Kreiman

CoRR, 2022

When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks.

Ankur Sikarwar, Arkil Patel, Navin Goyal

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022