Jatavallabhula, K. M., Kuwajerwala, A., Gu, Q., Omama, M., Chen, T., Li, S., Iyer, G., Saryazdi, S., Keetha, N., Tewari, A., Tenenbaum, J. B., de Melo, C. M., Krishna, M., Paull, L., Shkurti, F., & Torralba, A. (2023). ConceptFusion: Open-set Multimodal 3D Mapping. RSS. ,

Li, X., Qiao, Y.-L., Chen, P. Y., Jatavallabhula, K. M., Lin, M., Jiang, C., & Gan, C. (2023). PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR.

Muhle, D., Koestler, L., Jatavallabhula, K. M., & Cremers, D. (2023). Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. CVPR. ,

Jatavallabhula, K. M., Macklin, M., Fox, D., Garg, A., & Ramos, F. (2022). Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. CoRL.

Antonova, R., Yang, J., Jatavallabhula, K. M., & Bohg, J. (2022). Rethinking Optimization with Differentiable Simulation from a Global Perspective. CoRL.

Bhatt, D., Mani, K., Bansal, D., Lee, H., Jatavallabhula, K. M., & Paull, L. (2022). f -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. ICRA.

Agia, C., Jatavallabhula, K. M., Khodeir, M., Miksik, O., Vineet, V., Mukadam, M., Paull, L., & Shkurti, F. (2021). Taskography: Evaluating robot task planning over large 3D scene graphs. CoRL.

Sajnani, R., Sanchawala, A. M., Jatavallabhula, K. M., Sridhar, S., & K, M. K. (2022). DRACO: Weakly supervised dense reconstruction and canonicalization of objects. ICRA.

Jatavallabhula, K. M., Macklin, M., Golemo, F., Voleti, V., Petrini, L., Weiss, M., Considine, B., Parent-Levesque, J., Xie, K., Erleben, K., Paull, L., Shkurti, F., Nowrouzezahrai, D., & Fidler, S. (2021). gradSim: Differentiable simulation for system identification and visuomotor control. ICLR.

Jatavallabhula, K. M., Iyer, G., & Paull, L. (2020). gradSLAM: Dense SLAM meets automatic differentiation. ICRA.

Mani, K., Shankar, S., Jatavallabhula, K. M., & K, M. K. (2020). AutoLay: Benchmarking Monocular Layout Estimation. IROS.

Mani, K., Daga, S., Garg, S., Shankar, S., Jatavallabhula, K. M., & K, M. K. (2020). MonoLayout: Amodal scene layout from a single image. WACV.

Nair, G., Daga, S., Sajnani, R., Ramesh, A., Ansari, J. A., Jatavallabhula, K. M., & K, M. K. (2020). Multi-object monocular SLAM for dynamic environments. Intelligent Vehicles Symposium (IV).

Ort, T., Jatavallabhula, K. M., Banerjee, R., Gottipati, S. K., Bhatt, D., Gilitschenski, I., Paull, L., & Rus, D. (2019). MapLite: Autonomous intersection navigation without detailed prior maps. IEEE RAL.

Jatavallabhula, K. M., Smith, E., Lafleche, J.-F., Fuji Tsang, C., Rozantsev, A., Chen, W., Xiang, T., Lebaredian, R., & Fidler, S. (2019). Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. Whitepaper.

Gottipati, S. K., Seo, K., Jatavallabhula, K. M., Bhatt, D., Mai, V., & Paull, L. (2019). Deep Active Localization. IEEE RAL.

Srikanth, S., Ansari, J. A., Ram, K., Sharma, S., Jatavallabhula, K. M., & K, M. K. (2019). INFER: INtermediate representations for FuturE pRediction. IROS.

Ansari, J. A., Sharma, S., Majumdar, A., Jatavallabhula, K. M., & K, M. K. (2018). The Earth ain’t Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera. IROS.

Iyer, G., Ram, K., Jatavallabhula, K. M., & K, M. K. (2018). CalibNet: Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks. IROS.

Iyer, G., Jatavallabhula, K. M., Gupta, G., K, M. K., & Paull, L. (2018). Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CVPR Workshops.

Sharma, S., Ansari, J. A., Jatavallabhula, K. M., & and K, M. K. (2018). Beyond Pixels: Leveraging Geometry and Shape Cues for Multi-Object Tracking. ICRA.

Parkhiya, P., Khawad, R., Jatavallabhula, K. M., K, M. K., & Bhowmick, B. (2018). Constructing Category-Specific Models for Monocular Object SLAM. ICRA.

Jatavallabhula, K. M., Sharma, S., & K, M. K. (2017). Shape Priors for Real-Time Monocular Object Localization in Dynamic Environments. IROS.

Jatavallabhula, K. M., Gottipati, S. K., Chhaya, F., & K, M. K. (2017). Reconstructing Vehicles From a Single Image: Shape Priors for Road Scene Understanding. ICRA.

Gautam, A., Jha, B., Kumar, G., Jatavallabhula, K. M., S P, A. R., & Mohan, S. (2016). FAST: Frontier Allocation Synchronized by Token-passing. Springer Journal of Intelligent Robotic Systems.

Gautam, A., Jatavallabhula, K. M., Kumar, G., S P, A. R., Jha, B., & Mohan, S. (2015). Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage. IEEE SMC.

Pruthi, D., Jain, A., Jatavallabhula, K. M., & Teja, P. (2015). Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. UKSIM.