| Updates-leak: Data set inference and reconstruction attacks in online learning A Salem, A Bhattacharya, M Backes, M Fritz, Y Zhang USENIX Security Symposium (USENIX Security), 2020., 2019 | 309 | 2019 |
| Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty A Bhattacharyya, M Fritz, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 279 | 2017 |
| Accurate and diverse sampling of sequences based on a “best of many” sample objective A Bhattacharyya, B Schiele, M Fritz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 134 | 2018 |
| Conditional Flow Variational Autoencoders for Structured Sequence Prediction A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle NeurIPS Workshop on Machine Learning for Autonomous Driving, 2019, 2019 | 106 | 2019 |
| KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients N Hanselmann, K Renz, K Chitta, A Bhattacharyya, A Geiger ECCV 2022, 2022 | 96 | 2022 |
| Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods A Bhattacharyya, M Fritz, B Schiele International Conference on Learning Representations (ICLR), 2019, 2019 | 56 | 2019 |
| Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers A Bhattacharyya, DO Reino, M Fritz, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Sdfstudio: A unified framework for surface reconstruction Z Yu, A Chen, B Antic, S Peng, A Bhattacharyya, M Niemeyer, S Tang, ... Colophon This document was typeset using LATEX, using the KOMA-Script class …, 2022 | 40 | 2022 |
| Samplefix: Learning to correct programs by sampling diverse fixes H Hajipour, A Bhattacharyya, CA Staicu, M Fritz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 39* | 2021 |
| Long-Term Image Boundary Prediction A Bhattacharyya, M Malinowski, B Schiele, M Fritz AAAI Conference on Artificial Intelligence, 2018, 2016 | 27* | 2016 |
| Efficiently summarising event sequences with rich interleaving patterns A Bhattacharyya, J Vreeken Proceedings of the 2017 SIAM International Conference on Data Mining, 795-803, 2017 | 24 | 2017 |
| Haar Wavelet based Block Autoregressive Flows for Trajectories A Bhattacharyya, CN Straehle, M Fritz, B Schiele German Conference on Pattern Recognition (GCPR), 2020, 2020 | 20 | 2020 |
| Normalizing Flows with Multi-Scale Autoregressive Priors S Mahajan, A Bhattacharyya, M Fritz, B Schiele, S Roth Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020 | 20* | 2020 |
| Look, Remember and Reason: Grounded Reasoning in Videos with Language Models A Bhattacharyya, S Panchal, M Lee, R Pourreza, P Madan, R Memisevic International Conference on Learning Representations (ICLR), 2024 | 13* | 2024 |
| Painter: Teaching Auto-regressive Language Models to Draw Sketches R Pourreza, A Bhattacharyya, S Panchal, M Lee, P Madan, R Memisevic ICCV Workshops, 2023 | 9 | 2023 |
| Long Term On-Board Prediction of Pedestrians in Traffic Scenes A Bhattacharyya, M Fritz, B Schiele Conference on Robot Learning (CoRL), 2017 | 9 | 2017 |
| Machine learnable system with conditional normalizing flow A Bhattacharyya, CN Straehle US Patent App. 16/919,955, 2021 | 6 | 2021 |
| "Best-of-Many-Samples" Distribution Matching A Bhattacharyya, M Fritz, B Schiele NeurIPS Workshop on Bayesian Deep Learning, 2019, 2019 | 4 | 2019 |
| Training and data synthesis and probability inference using nonlinear conditional normalizing flow model A Bhattacharyya, CN Straehle US Patent App. 16/922,748, 2021 | 3 | 2021 |
| Method and system for training a model for image generation DO Reino, A Bhattacharyya, M Fritz, B Schiele US Patent App. 17/610,004, 2022 | 2 | 2022 |
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland Universitycispa.de의 이메일 확인됨
