About Me

I am a second-year Cognitive Science Ph.D. student at Stony Brook University working with Dr. Gregory Zelinsky.

My research interests are in the intersection of multimodal generative modelling and visual perception, focusing on building brain-inspired neural network architectures and generating human-aligned visual content.

I am always interested in research collaborations. Feel free to schedule a 30-min meeting on Calendly if you are interested in collaborating or discussing research ideas.

Recent News

• Poster accepted at OPAM 2024 (also won Best Poster Award!)
• Short paper accepted at CCN 2024!
• Poster accepted at VSS 2024!
• Paper accepted at NeurIPS 2023!

Select Publications

• Framework for a Generative Multi-modal model of Embodied Thought
  Gregory Zelinsky, Ritik Raina, Abe Leite, Seoyoung Ahn
  CCN 2024

• Generating objects in peripheral vision using attention-guided diffusion models
  Ritik Raina, Seoyoung Ahn, Gregory Zelinsky
  VSS 2024

• Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
  Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia R. de Sa
  NeurIPS 2023

• Cortically motivated recurrence enables task extrapolation
  Vijay Veerabadran, Yuan Tang, Ritik Raina, Virginia R. de Sa
  COSYNE 2023

• Exploring Biases in Facial Expression Analysis using Synthetic Faces
  Ritik Raina, Miguel Monares, Mingze Xu, Sarah Fabi, Xiaojing Xu, Lehan Li, Will Sumerfield, Jin Gan, Virginia R. de Sa
  NeurIPS SyntheticData4ML Workshop 2022

• Bio-inspired learnable divisive normalization for ANNs
  Vijay Veerabadran, Ritik Raina, Virginia R. de Sa
  NeurIPS SVRHM Workshop 2021