Lars Lindemann @LarsLindemann2 Twitter profile

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Lars Lindemann

@LarsLindemann2

2 years

I'm happy to share that I will join USC Computer Science @CSatUSC @USCViterbi as an Assistant Professor in Jan 2023. I'm currently looking for highly driven PhD students with strong backgrounds and interests in applied math, systems & control, formal methods, ML, and robotics.

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Lars Lindemann

@LarsLindemann2

11 months

I’m currently searching to fill at least two open PhD positions in my lab at USC. I’m looking for highly motivated students with interests in the areas of systems & control theory, formal methods, optimization, and applied statistics with applications in autonomy and robotics.

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Lars Lindemann

@LarsLindemann2

4 months

Just became a US permanent resident. The equivalent workload of applying for a greencard is estimated to be two full journal papers 🙃

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Lars Lindemann

@LarsLindemann2

1 year

Previous works on conformal prediction for time series produce conservative or only asymptotically valid prediction regions. We address this issue in our paper "Conformal Prediction Regions for Time Series using Linear Complementarity Programming" in .

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Lars Lindemann

@LarsLindemann2

2 months

Our book "Formal Methods for Multi-Agent Feedback Control Systems" is now scheduled to appear @mitpress in early 2025, see for a brief description and for bookmarking 🚀

Formal Methods for Multi-Agent Feedback Control Systems

An introduction to formal methods for feedback control of multi-agent systems with safety and performance guarantees.Multi-agent control systems can accompli...

mitpress.mit.edu

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Lars Lindemann

@LarsLindemann2

1 year

Still living the best life in LA without a car and recently got my dream bike delivered for an even faster commute to USC 🚀😎

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Lars Lindemann

@LarsLindemann2

2 years

Excited to share that I received a book contract from @mitpress CPS series for my book proposal on "Formal Methods for Multi-Agent Control Systems". This is a joint project with Dimos Dimarogonas (not on twitter) and the tentative book release is September 2023 🙂

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Lars Lindemann

@LarsLindemann2

2 years

Quick update after three months at USC, I think I found my dream job 🙂

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Lars Lindemann

@LarsLindemann2

4 months

Immensely proud of my PhD student @ZhaoYiqi87035 for being a Best Paper Award Finalist at the 2024 International Conference on Cyber-Physical Systems with his paper "Robust Conformal Prediction for STL Runtime Verification under Distribution Shift" 🚀🚀🚀

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Lars Lindemann

@LarsLindemann2

2 months

If you’re at ICML and wanna chat about uncertainty quantification in formal verification, control, and robotics, drop by booth 216 🚀🙂 The poster is up from 1:30 (now) until 3:00 pm

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Lars Lindemann

@LarsLindemann2

3 months

Excited that our proposal "A Neurosymbolic Approach for Safe Multi-Agent Systems" received an award in the Safe Learning-Enabled Systems program in the synergy category (). Cool research to come together w. @gauravsukhatme , @mahdisoltanol , and Jyo Deshmukh🙂

Safe Learning-Enabled Systems

new.nsf.gov

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Lars Lindemann

@LarsLindemann2

3 months

Back to KTH where it all started 🙂 Attending the ECC workshop on "Data-Driven Verification and Control with Provable Guarantees" today (even giving a talk myself). Drop by if you're in Stockholm, see

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Lars Lindemann

@LarsLindemann2

1 year

First proud advisor moment: my incoming PhD student Xinyi Yu () had her paper on efficient temporally robust control accepted at CDC2023 🙂 Paper:

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Lars Lindemann

@LarsLindemann2

9 months

Riding into the sunset and the new year full of energy and plans 🚴‍♂️

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Lars Lindemann

@LarsLindemann2

2 years

I am giving a one week EECI course on "Multi-Agent Control under Spatiotemporal Logic Constraints" next year (hosted at TU Delft). The whole program and registration info are available at . I took much joy in EECI courses myself, and hope others will do to!

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Lars Lindemann

@LarsLindemann2

2 years

In our recent works, we use conformal prediction for uncertainty quantification of widely used trajectory predictors such as LSTMs/RNNs for 1) safe planning in dynamic environments, and 2) predictive runtime verification Papers: and

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Lars Lindemann

@LarsLindemann2

1 year

It was a great pleasure teaching an EECI graduate course at Delft University with participants from 14 European universities and 2 companies. I'll certainly make this a regular thing 🙂

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Lars Lindemann

@LarsLindemann2

10 months

Full house at our CDC workshop on "Formal Methods and Decision Making in the Age of AI". Join us for an exciting day in room Orchid Junior 4211 if you’re around!

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Lars Lindemann

@LarsLindemann2

5 months

Helping out with the new building 👷‍♂️👷‍♀️ With @ebiyik_ @swabhz @ibrahim_sabek @ruishanzliu

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Lars Lindemann

@LarsLindemann2

8 months

Interested in using conformal prediction for solving chance constrained optimization (CCO) problems? Check out our new preprint on Conformal Predictive Programming (CPP) on Work lead by my PhD students @ZhaoYiqi87035 and Xinyi Yu; collab with Jyo Deshmukh

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Lars Lindemann

@LarsLindemann2

4 months

Enjoying the summer break without deadlines 🌊🌴

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Lars Lindemann

@LarsLindemann2

6 months

Great pleasure hosting my friend @amitra_90 at USC today 🙂

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Lars Lindemann

@LarsLindemann2

5 months

The journal version of our work on learning safe control laws from expert demonstrations got published. We show how to deal with uncertainty in (1) the system model, and (2) state estimation (e.g., from high dimensional sensors). We also have a cool case study in CARLA 🚀

IEEE Open Journal of Control Systems

@IEEE_OJCSYS

5 months

Title: Learning Robust Output Control Barrier Functions From Safe Expert Demonstrations Authors: Lars Lindemann; Alexander Robey; Lejun Jiang; Satyajeet Das; Stephen Tu; Nikolai Matni Date: 4 April2024 Link: #optimization #outputfeedback

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Lars Lindemann

@LarsLindemann2

2 years

I am currently looking for PhD students with a strong interest in systems theory, data-driven control, and robotics. If you would like to work with me, feel free to reach out and apply to the CS Department at USC before the 15th of December. More info:

Ph.D. in Computer Science at the USC Viterbi School of Engineering

The doctoral degree program at the USC Computer Science department prepares students for a career in research. Discover the doctoral program in CS at USC...

viterbigradadmission.usc.edu

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Lars Lindemann

@LarsLindemann2

5 months

Lab meeting at the beach 🌴🌴🌴

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Lars Lindemann

@LarsLindemann2

2 years

Two years ago from today, the last day of a wonderful PhD journey. Gratefully looking back and thankful to everyone I met a long the way!

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Lars Lindemann

@LarsLindemann2

1 month

Sending off @mahdisoltanol to NorCal with a sunset ride 🚀

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Lars Lindemann

@LarsLindemann2

10 months

If you attend CDC and arrived in Singapore already, join our workshop on "Formal Methods and Decision Making in the Age of AI" tomorrow. We have a great set of speakers - find the schedule and abstracts here:

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Lars Lindemann

@LarsLindemann2

3 years

Congratulations to Alena Rodionova for winning the Best Student Paper Award - well done Alena :) The paper is joint work together with @pappasg69 and Manfred Morari and can be found here:

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Lars Lindemann

@LarsLindemann2

1 year

Consider attending our EECI PhD graduate course on "Multi-Agent Control under Spatiotemporal Logic Constraints" at Delft University from 05/22-05/26. You can find the registration form under 🙂

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Lars Lindemann

@LarsLindemann2

1 year

Excited to share that I will be working on building trustworthy AI-based code generation together with my colleague and friend @AKA_Rini 🙂 Check out our proposal that was recently funded by the USC + Amazon Center on Secure & Trusted ML project

Project3-2024 — USC + Amazon Center on Secure & Trusted Machine Learning

trustedai.usc.edu

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Lars Lindemann

@LarsLindemann2

1 year

We are organizing a workshop on "Formal Methods and Decision Making in the Age of AI" to be held at CDC in Singapore on December, 12th. We have an exciting list of speakers from all over the world (see schedule attached). Please join us 🙂 More info:

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Lars Lindemann

@LarsLindemann2

26 days

We just submitted our latest survey article on "Formal Verification and Control with Conformal Prediction: Practical Safety Guarantees for Autonomous Systems". If you are interested in safe autonomy, check out 🚀

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Lars Lindemann

@LarsLindemann2

6 months

First CPS PI meeting at Vanderbilt - with @meiyi_ma and Jyo Deshmukh 😎

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Lars Lindemann

@LarsLindemann2

5 months

Great pleasure to be speaking in the CPS series at UCSC today. Tune in if you wanna hear about our work on learning safe control laws from demonstrations 🙂

Cyber-Physical Systems Research Center - UCSC

@CPSRC_UCSC

5 months

Today, we will have Lars Lindemann, Assistant Professor in the Department of Computer Science at the University of Southern California. Lars will present "Learning Safe Control Laws from Expert Demonstrations." Full details at @BaskinEng @LarsLindemann2

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Lars Lindemann

@LarsLindemann2

6 months

Golden hour on a rainy day 🙌

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Lars Lindemann

@LarsLindemann2

10 months

In our new work, we address the problem of planning among uncontrollable stochastic agents under signal temporal logic tasks. We essentially constructs multi-agent conformal prediction regions and propose an efficient bilevel optimization problem. With @ZhaoYiqi87035 and Xinyi Yu

Yiqi Zhao

@ZhaoYiqi87035

10 months

Check out our latest paper on controlling a dynamical system among uncontrollable agents: . We use Conformal Prediction to track the uncontrollable agents with a high probability and Mixed Integer Program for subsequent control synthesis. @LarsLindemann2

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Lars Lindemann

@LarsLindemann2

7 months

Back in Philly with the boys 🔥 @AlexRobey23 @BruceLeeIII

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Lars Lindemann

@LarsLindemann2

6 months

Check out our latest preprint in which we survey how tail risk measures (such as the conditional value-at-risk) can be used for planning, control, and verification of robotic systems.

Anushri Dixit

@anushridixit111

6 months

Interested in learning about risk assessment for robotics? Check out our survey on tail risk measures for control, planning, and verification

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Lars Lindemann

@LarsLindemann2

11 months

Consider applying and joining us at USC if you are currently looking for faculty jobs 🙂

USC Thomas Lord Department of Computer Science

@CSatUSC

11 months

We're hiring! @CSatUSC is growing fast, with multiple openings for tenure-track and tenured positions. 🔍Security/privacy, AI, machine learning, data science, HCI, but exceptional candidates in all areas considered. 📅Deadline: Jan 5 🔗Details:

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Lars Lindemann

@LarsLindemann2

2 years

Enjoying the last few weeks on the East Coast 🙂

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Lars Lindemann

@LarsLindemann2

1 year

Congratulations @gauravsukhatme 🙂🙂

USC Thomas Lord Department of Computer Science

@CSatUSC

1 year

It's official! 🎉 We are the Thomas Lord Department of Computer Science! 👏 Congratulations Professor @gauravsukhatme , who was named the inaugural Donald M. Alstadt Chair in Advanced Computing. Thank you to all who made this such a memorable event. More to come! @USCViterbi

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Lars Lindemann

@LarsLindemann2

11 months

Gotta enjoy that LA life and weather 😎

Rini Chattopadhyay

@AKA_Rini

11 months

A great #hike with a great gang from @CSatUSC @USC w/ @LarsLindemann2 and Jyotirmoy Deshmukh!

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Lars Lindemann

@LarsLindemann2

11 months

You can directly apply to the CS PhD program at USC via the link and list me as a preferred advisor. You may also reach out to me directly via email if you have questions. Please note though that I will only reply to emails that show genuine interest.

Ph.D. Application Information - USC Viterbi | Thomas Lord Department of Computer Science

PhD Program - Application Information:Application Deadline: Fall Semester - December 15th. *Please note: The Computer Science Department does not accept applications for the Spring semester. How to...

www.cs.usc.edu

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Lars Lindemann

@LarsLindemann2

2 years

Today, I presented our recent work on "Temporal Robustness of Stochastic Signals" at @hscc_conference where we analyze the robustness of systems in the presence of timing uncertainties. Work with @AlenaRodi @pappasg69 Paper: Talk:

Temporal Robustness of Stochastic Signals

In our accepted HSCC paper, available at https://arxiv.org/pdf/2202.02583.pdf, we show how one can analyze temporal robustness of deterministic and stochasti...

www.youtube.com

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Lars Lindemann

@LarsLindemann2

2 years

Check out our latest work on accelerating semidefinite programming approaches to neural network verification through the use of chordal sparsity. Our parametrization is parametric so that we can control a trade-off between accuracy and efficiency. With @AntonXue and @RajeevAlur

arXiv Daily

@Arxiv_Daily

2 years

Parametric Chordal Sparsity for SDP-based Neural Network Verification by Anton Xue et al. including @LarsLindemann2 #NeuralNetwork #ComputerScience

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Lars Lindemann

@LarsLindemann2

2 years

Our latest paper presents an in depth analysis of temporal robustness for STL and shows how we can design temporally robust control laws.

Alëna Rodionova

@AlenaRodi

2 years

Our paper entitled "Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design" with @LarsLindemann2 , Manfred Morari and @pappasg69 has been published in TECS! You can find the "just accepted" version of the paper here:

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Lars Lindemann

@LarsLindemann2

7 months

Flying to Germany these days makes we wanna focus my research on fully automated airports.

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Lars Lindemann

@LarsLindemann2

2 years

I would further like to thank @amitra_90 , @_ThomasBeckers_ , @AlexRobey23 , @YiannisKantaros , @AlenaRodi , @AntonXue , @juancervinouy , @ivanruchkin , @BruceLeeIII for their friendship over the past two years. You guys are always more than welcome to visit me in LA!!

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Lars Lindemann

@LarsLindemann2

3 years

I believe that we should discuss mental health of Ph.D. students more and actively provide help. I found this interesting article that I want to share. It states that "32% of PhD students are at risk of having or developing a common psychiatric disorder"

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Lars Lindemann

@LarsLindemann2

11 months

Check out our latest paper where we present practical algorithms that predict system failures during runtime even when the deployed system is different from the design time system. Thanks for sharing, @predict_addict

Valeriy M., PhD, MBA, CQF

@predict_addict

11 months

Another interesting paper by @LarsLindemann2 and co-authors with validation on a Franka manipulator within the @nvidia Isaac sim environment. “Robust Conformal Prediction for STL Runtime Verification under Distribution Shift” ”Cyber-physical systems (CPS) designed in simulators

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Lars Lindemann

@LarsLindemann2

3 years

Big congratulations @necozay , well deserved!

Kwesi

@FerventEcrivain

3 years

Congratulations to my advisor @necozay for winning the Antonio Ruberti Young Researcher Prize (announced at Conference on Decision+Control today)! I'm glad the rest of the world sees how excellent of a researcher she is and why our lab is so excited to work with her!

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Lars Lindemann

@LarsLindemann2

3 years

Presenting collaborative CBF-based control laws for groups of robots under temporal logic specifications in our latest IEEE TCNS paper. We particularly show how to construct local/decentralized control laws from nonlinear CBFs. Paper:

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Lars Lindemann

@LarsLindemann2

2 years

Tomorrow, I am going to talk about "Risk Verification of AI-enabled Autonomous Systems" at the RSS workshop "Risk Aware Decision Making: From Optimal Control to RL". I'll be there in person and am happy to chat, you can also attend virtually Workshop link:

risk-aware-robotics

Workshop Abstract and Call for Contributions

sites.google.com

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Lars Lindemann

@LarsLindemann2

2 years

In , we design a model predictive controller that computes safe paths with a desired probability. The MPC utilizes trajectory predictions of dynamic agents and constructs conformal prediction regions quantifying prediction uncertainty to find safe paths.

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Lars Lindemann

@LarsLindemann2

5 months

@ZhaoYiqi87035 and Xinyi Yu giving their first presentation in front of a big audience (around 100 people) at the Southern California Control Workshop 🚀

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Lars Lindemann

@LarsLindemann2

3 years

Our work on the construction of robust and safe control laws from data, based on the notion of robust hybrid control barrier functions, is being presented at the ADHS conference today! :)

Alex Robey

@AlexRobey23

3 years

Looking forward to presenting our recent work on learning robust control barrier functions for hybrid systems at ADHS today at 10am! Joint work with @LarsLindemann2 , @stephenltu , and @NikolaiMatni . Paper: Code:

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Lars Lindemann

@LarsLindemann2

2 years

In , we design predictive runtime monitors for STL specifications. These monitors compute, at system runtime, the probability that a specification is satisfied. We first predict system states, and then use conformal prediction for uncertainty quantification

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Lars Lindemann

@LarsLindemann2

2 years

Please reach out if you are interested! I would also like to take this opportunity to thank Dimos Dimarogonas, @pappasg69 , @NikolaiMatni , @jana_tumova , Manfred Morari, and Kalle Johansson for their support and for teaching me a great deal about science (and its politics).

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Lars Lindemann

@LarsLindemann2

1 year

In our paper, we propose a parameterized prediction error over multiple time steps. By optimizing the parameters over an additional calibration dataset by using linear complementarity programming, we find prediction regions for time series that are valid and not conservative.

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Lars Lindemann

@LarsLindemann2

1 year

This paper is joint work with Matthew Cleaveland, @insuplee , and @pappasg69 .

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Lars Lindemann

@LarsLindemann2

2 years

These are joint works with @pappasg69 , Jyotirmoy V. Deshmukh, Xin Qin, Matthew Cleaveland, and Gihyun Shim.

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Lars Lindemann

@LarsLindemann2

3 years

We define the STL robustness risk towards quantifying the risk of a machine learning, planning, or control algorithm. The paper further proposes a practical algorithm to calculate the STL robustness risk based on observed system trajectories. With @NikolaiMatni and @pappasg69

arXiv Daily

@Arxiv_Daily

3 years

STL Robustness Risk over Discrete-Time Stochastic Processes by Lars Lindemann, @NikolaiMatni , and @pappasg69 #Probability #ComputerScience

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Lars Lindemann

@LarsLindemann2

1 year

Wonderful news 😎

USC Thomas Lord Department of Computer Science

@CSatUSC

1 year

We are marking a new era with a new name! Welcome to the Thomas Lord Department of Computer Science. The naming gift is part of @USC 's Frontiers in Computing initiative, which includes the new School of Advanced Computing, a unit of @USCViterbi .

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Lars Lindemann

@LarsLindemann2

1 year

For all Boston Dynamics fans (like me) 🙂

Lex Fridman

@lexfridman

1 year

Here's my conversation with Robert Playter, CEO of Boston Dynamics, a legendary robotics company that over 30 years has created some of the amazing robots ever built, including the humanoid robot Atlas and the robot dog Spot. This was fascinating!

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Lars Lindemann

@LarsLindemann2

3 months

Photo credits to @bardhhoxha 😎

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Lars Lindemann

@LarsLindemann2

1 year

Previously, to obtain valid prediction regions over T time steps with confidence 1−δ, individual prediction regions have to be valid with confidence 1−δ/T. We propose a method for reducing this conservatism to enable long horizon planning and verification downstream.

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Lars Lindemann

@LarsLindemann2

4 years

Interested in knowing more about how to construct safe control laws for general hybrid systems? Take a look at our new CoRL paper where we provide correctness guarantees of hybrid control barrier functions learned from data!

Nikolai Matni

@NikolaiMatni

4 years

Very excited about our new paper with @AlexRobey23 @HaiminHu and @HanwenZhang35 on learning hybrid control barrier functions from data, to appear @corl_conf ! Paper: Code: 15min talk:

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Lars Lindemann

@LarsLindemann2

2 years

@RajeevAlur @vardifest @vardi Rajeev, your work on timed automata indeed brought much joy during my Ph.D. 🙂 I still go back to it every now and then!

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Lars Lindemann

@LarsLindemann2

1 year

@NikolaiMatni 🌴 🏖 🌴

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Lars Lindemann

@LarsLindemann2

26 days

Lastly, we provide a set of illustrative examples and case studies and discuss open problems and future research direction. This is joint work with my PhD students @ZhaoYiqi87035 and Xinyi Yu as well as @pappasg69 and Jyotirmoy Deshmukh.

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Lars Lindemann

@LarsLindemann2

4 months

@ZhaoYiqi87035 This was joint work with my colleagues Jyo Deshmukh from @CSatUSC as well as @bardhhoxha and Georgios Fainekos from Toyota Research Institute of North America

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Lars Lindemann

@LarsLindemann2

2 years

@DeineEVG @_verdi Thanks yet again for fighting this fight on the back of regular people (who will definitely not support you) and for making me miss my visa appointment.

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Lars Lindemann

@LarsLindemann2

26 days

We then present a unifying theory and computational algorithms for control and offline/online verification of autonomous systems with conformal prediction. We also provide a comprehensive literature study of related control and verification works in the safe autonomy space.

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Lars Lindemann

@LarsLindemann2

2 years

@_ThomasBeckers_ @amitra_90 I'll miss you guys and our office big time!!! :)

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Lars Lindemann

@LarsLindemann2

10 months

@NikolaiMatni @USCViterbi Great pleasure having you here at USC 🙂 Really enjoyed your talk!!

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Lars Lindemann

@LarsLindemann2

2 years

@CesarAUribe @MUBNiazi @SebinGracy @SebinGracy is indeed amazing and, on top of that, an extremely pleasant person to be around!

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Lars Lindemann

@LarsLindemann2

1 year

@adarshjois @predict_addict @adarshjois You can check out our RA-L paper our our very recent submission for applications in robotics

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Lars Lindemann

@LarsLindemann2

4 months

@amitra_90 Thinking about it more, I'd say one Automatica and one LCSS 🙃

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Lars Lindemann

@LarsLindemann2

2 years

@amitra_90 @_ThomasBeckers_ @AlexRobey23 @YiannisKantaros @AlenaRodi @AntonXue @juancervinouy @ivanruchkin @BruceLeeIII Looking forward to an evening beach walk and some chicken tikka when you're there 😎

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Lars Lindemann

@LarsLindemann2

9 months

@NikolaiMatni Wonderful, very well deserved 🚀

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Lars Lindemann

@LarsLindemann2

1 year

scalable multi-agent control under STL constraints using decentralized CBFs and PPC, and applications to robotics/platooning.

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Lars Lindemann

@LarsLindemann2

1 month

@RajeevAlur @sigact @PennEngineers @CIS_Penn Congratulations, Rajeev. Very well deserved!

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Lars Lindemann

@LarsLindemann2

10 months

We then formulate a bilevel optimization problem for signal temporal logic (STL) control synthesis. The inner problem encodes the worst case satisfaction of STL predicates over the prediction regions. For efficient synthesis, we rewrite the inner problem using its KKT conditions.

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Lars Lindemann

@LarsLindemann2

10 months

Our approach uses conformal prediction with a new normalization idea to obtain multi-agent prediction regions that are statistically valid over multiple time steps. The normalization idea reduces conservatism and increase data efficiency to enable efficient downstream control.

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Lars Lindemann

@LarsLindemann2

1 year

@AndrewHires Time for a fishing weekend 😎

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Lars Lindemann

@LarsLindemann2

2 years

@snikolaidis19 @herambnemlekar Congratulations Stefanos!!! 🙂

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Lars Lindemann

@LarsLindemann2

2 years

@gauravsukhatme @CSatUSC @USCViterbi Thanks Gaurav. Really looking forward join you all (and go for more strolls on the beautiful campus) 🙂

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Lars Lindemann

@LarsLindemann2

1 year

We will also allocate time to discuss open problems and future research directions, and to initiate research collaborations for those wanting to start working in this exciting field.

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Lars Lindemann

@LarsLindemann2

1 year

@NikolaiMatni Missing these cozy Philly streets in spring!

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Lars Lindemann

@LarsLindemann2

1 year