Embodied Language Grounding with Implicit 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CoRR, 2019)

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. - Hsiao-Yu Tung; Zhou Xian; Mihir Prabhudesai; Shamit Lal; Katerina Fragkiadaki (CoRL, 2020)

3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. - Mihir Prabhudesai; Shamit Lal; Hsiao-Yu Fish Tung; Adam W. Harley; Shubhankar Potdar; Katerina Fragkiadaki (CVPR Workshops, 2020)

Embodied Language Grounding With 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CVPR, 2020)

3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. - Mihir Prabhudesai; Shamit Lal; Hsiao-Yu Fish Tung; Adam W. Harley; Shubhankar Potdar; Katerina Fragkiadaki (CoRR, 2020)

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. - Hsiao-Yu Fish Tung; Xian Zhou; Mihir Prabhudesai; Shamit Lal; Katerina Fragkiadaki (CoRR, 2020)

CoCoNets: Continuous Contrastive 3D Scene Representations. - Shamit Lal; Mihir Prabhudesai; Ishita Mediratta; Adam W. Harley; Katerina Fragkiadaki (CVPR, 2021)

Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. - Mihir Prabhudesai; Shamit Lal; Darshan Patil; Hsiao-Yu Tung; Adam W. Harley; Katerina Fragkiadaki (ICLR, 2021)

Generating Fast and Slow: Scene Decomposition via Reconstruction. - Mihir Prabhudesai; Anirudh Goyal; Deepak Pathak; Katerina Fragkiadaki (CoRR, 2022)

Your Diffusion Model is Secretly a Zero-Shot Classifier. - Alexander C. Li; Mihir Prabhudesai; Shivam Duggal; Ellis Brown; Deepak Pathak (ICCV, 2023)

Test-time Adaptation with Slot-Centric Models. - Mihir Prabhudesai; Anirudh Goyal; Sujoy Paul; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Gaurav Aggarwal; Thomas Kipf; Deepak Pathak; Katerina Fragkiadaki (ICML, 2023)

Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. - Mihir Prabhudesai; Tsung-Wei Ke; Alexander C. Li; Deepak Pathak; Katerina Fragkiadaki (NeurIPS, 2023)

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. - Mihir Prabhudesai; Tsung-Wei Ke; Alexander C. Li; Deepak Pathak; Katerina Fragkiadaki (CoRR, 2023)

Video Diffusion Alignment via Reward Gradients. - Mihir Prabhudesai; Russell Mendonca; Zheyang Qin; Katerina Fragkiadaki; Deepak Pathak (CoRR, 2024)

Unified Multimodal Discrete Diffusion. - Alexander Swerdlow; Mihir Prabhudesai; Siddharth Gandhi; Deepak Pathak; Katerina Fragkiadaki (CoRR, 2025)

Maximizing Confidence Alone Improves Reasoning. - Mihir Prabhudesai; Lili Chen; Alex Ippoliti; Katerina Fragkiadaki; Hao Liu; Deepak Pathak (CoRR, 2025)

Diffusion Beats Autoregressive in Data-Constrained Settings. - Mihir Prabhudesai; Mengning Wu; Amir Zadeh; Katerina Fragkiadaki; Deepak Pathak (CoRR, 2025)