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machine learning for autonomous driving about speakers schedule papers location organizers sponsors machine learning for autonomous driving workshop 4th march 2025 pennsylvania convention center philadelphia united states about welcome to the 2025 workshop on machine learning for autonomous driving at aaai autonomous vehicles avs offer a rich source of high impact research problems for the machine learning ml community including perception state estimation probabilistic modeling time series forecasting gesture recognition robustness guarantees real time constraints user machine communication multi agent planning and intelligent infrastructure further the interaction between ml subfields towards a common goal of autonomous driving can catalyze interesting inter field discussions that spark new avenues of research which this symposium aims to promote as an application of ml autonomous driving has the potential to greatly improve society by reducing road accidents giving independence to those unable to drive and even inspiring younger generations with tangible examples of ml based technology clearly visible on local streets all are welcome to attend this will be the 8th event in this series previous events in 2016 2017 2018 2019 2020 2021 2022 2023 enjoyed wide participation from both academia and industry attending attend in person or virtual please register here authors please bring a poster up to 30 x 40 inches either portrait or landscape speakers guy rosman senior manager toyota research institute wei zhan co director of berkeley deepdrive and chief scientist of applied intuition uc berkeley and applied intuition somil bansal assistant professor stanford university john dougherty software and simulation lead autonomous driving qualcomm schedule tuesday 4th march 2025 all times are in eastern standard time utc 5 current time is time event title 09 00 welcome welcoming remarks paul tylkin 09 15 guy rosman toyota research institute machine learning for interactive driving 09 45 lightning talks lightning talks 5 minutes per paper 10 15 posters and social break 11 45 lunch 13 30 wei zhan uc berkeley and applied intuition scalable and generalizable neural simulation 14 00 somil bansal stanford university continual safety assurances for autonomous driving 14 30 posters and social break 15 15 john dougherty qualcomm snapdragon ride automated driving technology 15 45 awards award ceremony alex petiushko 16 15 panel panel discussion guy rosman somil bansal alex petiushko paul tylkin moderator 17 00 close closing remarks paul tylkin papers rolling ahead diffusion for traffic scene simulation yunpeng liu matthew niedoba william harvey adam ścibior berend zwartsenberg frank wood teacher guided off road autonomous driving vedant mundheda zhouchonghao wu jeff schneider crash challenging reinforcement learning based adversarial scenarios for safety hardening amar kulkarni shangtong zhang madhur behl from one to the power of many invariance to multi lidar perception from single sensor datasets marc uecker j marius zöllner from dashcam videos to driving simulations stress testing automated vehicles against rare events yan miao georgios fainekos bardh hoxha hideki okamoto danil prokhorov sayan mitra a spatiotemporal approach to tri perspective representation for 3d semantic occupancy prediction sathira silva savindu wannigama gihan jayatilaka muhammad haris khan roshan ragel location room 116 pennsylvania convention center 1101 arch st philadelphia pa 19107 united states organizers paul tylkin paul tylkin tri global is a senior research scientist at toyota research institute maximilian naumann maximilian naumann de bosch com is a research engineer and project lead at bosch center for artificial intelligence madhumitha sakth msakthi qti qualcomm com is a senior engineer at qualcomm jiachen li jiachen li ucr edu is an assistant professor at the university of california riverside aman sinha thisisaman waymo com is a research scientist at waymo marco pavone pavone stanford edu is an associate professor at stanford university and a distinguished research scientist at nvidia rowan mcallister mcallister waymo com is a staff research scientist at waymo program committee thank you to those who helped make this workshop possible reinis cimurs bosch nemanja djuric aurora andreas look bosch alexander meade waymo aleksandr petiushko gatik ai toan tran emory university akos utasi continental corporation yuping wang waymo amir yazdani gatik ai chengyuan zhang mcgill university sponsors we thank toyota research institute and gatik for generously sponsoring this event website made using conf boilerplate