| 2025 | AISTATS | What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much? | Rafal Karczewski, Samuel Kaski, Markus Heinonen, Vikas K. Garg |
| 2025 | ICML | Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models. | Rafal Karczewski, Markus Heinonen, Vikas K. Garg |
| 2025 | ICML | Positional Encoding meets Persistent Homology on Graphs. | Yogesh Verma, Amauri H. Souza, Vikas K. Garg |
| 2021 | AISTATS | Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization. | Vikas K. Garg, Adam Tauman Kalai, Katrina Ligett, Zhiwei Steven Wu |
| 2020 | ICML | Predicting deliberative outcomes. | Vikas K. Garg, Tommi S. Jaakkola |
| 2020 | ICML | Generalization and Representational Limits of Graph Neural Networks. | Vikas K. Garg, Stefanie Jegelka, Tommi S. Jaakkola |
| 2019 | ICLR | Generative Models for Graph-Based Protein Design. | John Ingraham, Vikas K. Garg, Regina Barzilay, Tommi S. Jaakkola |
| 2018 | UAI | Sparse Multi-Prototype Classification. | Vikas K. Garg, Lin Xiao, Ofer Dekel |
| 2016 | AISTATS | CRAFT: ClusteR-specific Assorted Feature selecTion. | Vikas K. Garg, Cynthia Rudin, Tommi S. Jaakkola |
| 2015 | CVPR | DEEP-CARVING: Discovering visual attributes by carving deep neural nets. | Sukrit Shankar, Vikas K. Garg, Roberto Cipolla |
| 2014 | ICML | Multiresolution Matrix Factorization. | Risi Kondor, Nedelina Teneva, Vikas K. Garg |
| 2013 | AAAI | Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems. | Vikas K. Garg, T. S. Jayram, Balakrishnan Narayanaswamy |
| 2013 | ICONIP | Multi-regularization for Fuzzy Co-clustering. | Vikas K. Garg, Sneha Chaudhari, Ankur Narang |
| 2013 | IJCAI | Link Label Prediction in Signed Social Networks. | Priyanka Agrawal, Vikas K. Garg, Ramasuri Narayanam |
| 2010 | CIKM | Real-time memory efficient data redundancy removal algorithm. | Vikas K. Garg, Ankur Narang, Souvik Bhattacherjee |
| 2010 | HiPC | Highly scalable parallel collaborative filtering algorithm. | Ankur Narang, Raj Gupta, Anupam Joshi, Vikas K. Garg |