| 2026 | ACL | BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning. | Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, Nitin Kumar, Prathosh AP, Sandeep Kumar |
| 2025 | ICML | LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation. | Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh AP |
| 2025 | WACV | UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors. | Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni, Rajiv Soundararajan, Prathosh AP |
| 2024 | AAAI | Fusing Conditional Submodular GAN and Programmatic Weak Supervision. | Kumar Shubham, Pranav Sastry, Prathosh AP |
| 2024 | CVPR | ReMOVE: A Reference-free Metric for Object Erasure. | Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, Prathosh AP |
| 2023 | AAAI | Adaptive Mixing of Auxiliary Losses in Supervised Learning. | Durga Sivasubramanian, Ayush Maheshwari, Prathosh AP, Pradeep Shenoy, Ganesh Ramakrishnan |
| 2023 | AISTATS | Neural Discovery of Permutation Subgroups. | Pavan Karjol, Rohan Kashyap, Prathosh AP |
| 2023 | AISTATS | Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. | Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP |
| 2023 | CVPR | DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. | Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam |
| 2023 | ICLR | Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. | Arnab Kumar Mondal, Piyush Tiwary, Parag Singla, Prathosh AP |
| 2021 | CVPR | Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections. | Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP |
| 2021 | IJCNN | Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. | Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP |
| 2021 | WACV | A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. | Ayush Srivastava, Oshin Dutta, Jigyasa Gupta, Sumeet Agarwal, Prathosh AP |
| 2020 | AAAI | Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism. | Prashant Pandey, Prathosh AP, Manu Kohli, Josh Pritchard |
| 2020 | ICPR | Variational Inference with Latent Space Quantization for Adversarial Resilience. | Vinay Kyatham, Deepak Mishra, Prathosh AP |