Targeted Kernel Networks: Faster Convolutions with Attentive Regularization. - Kashyap Chitta (ECCV Workshops (4), 2018)

Learning Sampling Policies for Domain Adaptation. - Yash Patel; Kashyap Chitta; Bhavan Jasani (CoRR, 2018)

Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. - Kashyap Chitta; José M. Álvarez 004; Adam Lesnikowski (CoRR, 2018)

Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels. - Kashyap Chitta; Jianwei Feng; Martial Hebert (CoRR, 2018)

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. - Kashyap Chitta; José M. Álvarez 004; Adam Lesnikowski (CoRR, 2018)

Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. - Kashyap Chitta; José M. Álvarez 004; Elmar Haussmann; Clément Farabet (CoRR, 2019)

Learning Situational Driving. - Eshed Ohn-Bar; Aditya Prakash 001; Aseem Behl; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. - Aditya Prakash 001; Aseem Behl; Eshed Ohn-Bar; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Label Efficient Visual Abstractions for Autonomous Driving. - Aseem Behl; Kashyap Chitta; Aditya Prakash 001; Eshed Ohn-Bar; Andreas Geiger 001 (IROS, 2020)

Scalable Active Learning for Object Detection. - Elmar Haussmann; Michele Fenzi; Kashyap Chitta; Jan Ivanecky; Hanson Xu; Donna Roy; Akshita Mittel; Nicolas Koumchatzky; Clément Farabet; José M. Álvarez 004 (IV, 2020)

Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. - Kashyap Chitta; José M. Álvarez 004; Martial Hebert (WACV, 2020)

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. - Marissa A. Weis; Kashyap Chitta; Yash Sharma 001; Wieland Brendel; Matthias Bethge; Andreas Geiger 001; Alexander S. Ecker (CoRR, 2020)

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. - Aditya Prakash 001; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2021)

NEAT: Neural Attention Fields for End-to-End Autonomous Driving. - Kashyap Chitta; Aditya Prakash 001; Andreas Geiger 001 (ICCV, 2021)

Projected GANs Converge Faster. - Axel Sauer; Kashyap Chitta; Jens Müller; Andreas Geiger 001 (NeurIPS, 2021)

Benchmarking Unsupervised Object Representations for Video Sequences. - Marissa A. Weis; Kashyap Chitta; Yash Sharma 001; Wieland Brendel; Matthias Bethge; Andreas Geiger 001; Alexander S. Ecker (J. Mach. Learn. Res., 2021)

PlanT: Explainable Planning Transformers via Object-Level Representations. - Katrin Renz; Kashyap Chitta; Otniel-Bogdan Mercea; A. Sophia Koepke; Zeynep Akata; Andreas Geiger 001 (CoRL, 2022)

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. - Niklas Hanselmann; Katrin Renz; Kashyap Chitta; Apratim Bhattacharyya; Andreas Geiger 001 (ECCV (38), 2022)

Training Data Subset Search With Ensemble Active Learning. - Kashyap Chitta; José M. Álvarez 004; Elmar Haussmann; Clément Farabet (IEEE Trans. Intell. Transp. Syst., 2022)

Parting with Misconceptions about Learning-based Vehicle Motion Planning. - Daniel Dauner; Marcel Hallgarten; Andreas Geiger 001; Kashyap Chitta (CoRL, 2023)

Hidden Biases of End-to-End Driving Models. - Bernhard Jaeger; Kashyap Chitta; Andreas Geiger 001 (ICCV, 2023)

On Offline Evaluation of 3D Object Detection for Autonomous Driving. - Tim Schreier; Katrin Renz; Andreas Geiger 001; Kashyap Chitta (ICCV (Workshops), 2023)

DriveLM: Driving with Graph Visual Question Answering. - Chonghao Sima; Katrin Renz; Kashyap Chitta; Li Chen 008; Hanxue Zhang; Chengen Xie; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001 (CoRR, 2023)

TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving. - Kashyap Chitta; Aditya Prakash 001; Bernhard Jaeger; Zehao Yu 002; Katrin Renz; Andreas Geiger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generalized Predictive Model for Autonomous Driving. - Jiazhi Yang; Shenyuan Gao; Yihang Qiu; Li Chen 008; Tianyu Li; Bo Dai 002; Kashyap Chitta; Penghao Wu; Jia Zeng; Ping Luo 002; Jun Zhang; Andreas Geiger 001; et al. (CVPR, 2024)

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. - Kashyap Chitta; Daniel Dauner; Andreas Geiger 001 (ECCV (4), 2024)

DriveLM: Driving with Graph Visual Question Answering. - Chonghao Sima; Katrin Renz; Kashyap Chitta; Li Chen 008; Hanxue Zhang; Chengen Xie; Jens Beißwenger; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001 (ECCV (52), 2024)

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. - Daniel Dauner; Marcel Hallgarten; Tianyu Li; Xinshuo Weng; Zhiyu Huang; Zetong Yang; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; Andreas Geiger 001; Kashyap Chitta (NeurIPS, 2024)

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability. - Shenyuan Gao; Jiazhi Yang; Li Chen 008; Kashyap Chitta; Yihang Qiu; Andreas Geiger 001; Jun Zhang; Hongyang Li 001 (NeurIPS, 2024)

SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models. - Kashyap Chitta; Daniel Dauner; Andreas Geiger 001 (CoRR, 2024)

Hidden Biases of End-to-End Driving Datasets. - Julian Zimmerlin; Jens Beißwenger; Bernhard Jaeger; Andreas Geiger 001; Kashyap Chitta (CoRR, 2024)

End-to-End Autonomous Driving: Challenges and Frontiers. - Li Chen 008; Penghao Wu; Kashyap Chitta; Bernhard Jaeger; Andreas Geiger 001; Hongyang Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training. - Chonghao Sima; Kashyap Chitta; Zhiding Yu; Shiyi Lan; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001; José M. Álvarez 004 (CoRR, 2025)

CaRL: Learning Scalable Planning Policies with Simple Rewards. - Bernhard Jaeger; Daniel Dauner; Jens Beißwenger; Simon Gerstenecker; Kashyap Chitta; Andreas Geiger 001 (CoRR, 2025)

Pseudo-Simulation for Autonomous Driving. - Wei Cao; Marcel Hallgarten; Tianyu Li; Daniel Dauner; Xunjiang Gu; Caojun Wang; Yakov Miron; Marco Aiello 001; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; et al. (CoRR, 2025)

ReSim: Reliable World Simulation for Autonomous Driving. - Jiazhi Yang; Kashyap Chitta; Shenyuan Gao; Long Chen; Yuqian Shao; Xiaosong Jia; Hongyang Li 001; Andreas Geiger 001; Xiangyu Yue 001; Li Chen 008 (CoRR, 2025)