Jonathan Sadeghi @JonathanSadeghi
Senior Research Engineer at @_FiveAI/@BoschGlobal, previously PhD at @LivUni. statistical machine learning, uncertainty, computer vision... jcsadeghi.github.io Bristol, UK Joined June 2016-
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2024 now open five.ai/interns
Really enjoyable experience at @_HiDrive_ summer school last week. Great to share our experience @_FiveAI and hear about so much excellent PhD research in this area from around the EU! 🚗
My summer school talk "Recent advances on testing autonomous vehicle systems: an industry perspective" will take place in session 3. Looking forward to meeting everyone in Greece! 🤖 🚗 🇬🇷 🇬🇧
My summer school talk "Recent advances on testing autonomous vehicle systems: an industry perspective" will take place in session 3. Looking forward to meeting everyone in Greece! 🤖 🚗 🇬🇷 🇬🇧
NeurIPS have made the paper summary videos open access: slideslive.com/38994469/an-ac… 📺
NeurIPS have made the paper summary videos open access: slideslive.com/38994469/an-ac… 📺
100% recommend applying
Five @NeurIPSConf @ Cambridge 2022 @_FiveAI
New blog post: many deep nets are *very* similar to one another, and we can demonstrate it with a cute transfer attack. medium.com/fiveai/many-de…
Check out our big news at Five on joining forces with Bosch linkedin.com/pulse/five-joi…
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On 5-APR-2024 (Fri), I had the opportunity to give a short talk introducing the concept of Approximate Bayesian Computation (ABC) and its application towards model calibration and validation. Presentation slides are made available on GitHub via: github.com/Adolphus8/Lect…
Did I organise a whole conference just to have an excuse to talk to the causal incentives group in person about their research? I'll never tell.
In their talk, James and Matt will discuss the intelinkages between causality, agency and AI safety. They will demonstrate possible practical applications of their theoretical findings by showcasing their approaches towards developing ‘agency detectors’. #TAIS2024
Very excited to have Prof Aoyagi at TAIS 2024. She coauthored with Sumio Watanabe who first researched singular learning theory, and her research makes meaningful progress towards getting analytic real log canonical thresholds for deep ReLU networks which would be huge
Miki Aoyagi will share her invaluable insights into singular learning theory. Her research will show that the learning coefficients of multiple-layered neural networks with linear units are bounded even though the number of layers goes to infinity. #TAIS2024
This is the conference I've been organizing for the last 8 months! We have some really cool speakers lined up covering a bunch of promising research directions in technical safety. Sign up to attend on our website! tais2024.cc
We are excited to announce that the Technical AI Safety Conference (TAIS 2024) will take place on 5th-6th April, 2024 in Tokyo, Japan. TAIS will bring together leading experts and rising voices in AI safety research. Learn more: tais2024.cc #TAIS2024 #NoeonResearch
The perpetually undervalued least-squares: minₓ‖y−Ax‖² can teach a lot about some complex ideas in modern machine learning including overfitting & double-descent. Let's assume A is n-by-p. So we have n data points and p parameters 1/9
Want to make your model aware of some new objects, rare classes etc? 🔬 👉🏼 No need to collect new datasets. 👉🏼 Just augment the old one using our pipeline and then fine-tune the model. That’s it!! ⭐️ Please check our work for more details.
1/n Happy to share our recent work with @rvolpis @puneetdokania Philip Torr and Grégory Rogez 🚀🤖: Placing Objects in Context via Inpainting for Out-of-distribution Segmentation 🖌️🎨 ->🔍🐏🐏🐺🐏🐏 Paper: arxiv.org/pdf/2402.16392… Code: github.com/naver/poc
My take on the utility of distribution-free uncertainty estimation techniques, especially conformal prediction, in practice: davidstutz.de/QK3V9 Can be seen as a response to @beenwrekt’s articles on the use of prediction intervals.
@JonathanSadeghi @LivUni @EdoardoPatelli @ADvulab Thank you so much @JonathanSadeghi! Hope you've been keeping well! :)
11-DEC-2023 It's official, PhDone! Glad to have done this with the @LivUni - the best Uni in the UK! Thank you to my Supervisors @EdoardoPatelli & @ADvulab, Institute director Scott Ferson, family and friends for all of this! Dr. Adolphus Lye in da house! Let the party begin!
Honoured and Thankful to have been featured by ESRA! For those who are keen on Uncertainty quantification and Stochastic model updating techniques, feel free to check out my highlighted PhD work which can be accessed via: esra.website/news-events/de… #ESRA #PhDone #TrustTheProcess
I'm absolutely excited and delighted to share that my PhD dissertation is finally made publicly available on the University of Liverpool Repository and can be accessed freely via: livrepository.liverpool.ac.uk/3170546/ Thank you so much for your valuable support over the years!
Honoured to be featured by @LivUnicareers as part of the International Graduate Story series. Here, I share my experience as an international student, my PhD journey, and the challenge of moving back to Singapore. Thank you @LivUni for the wonderful 4 years of my life!
In our latest blog post, Adolphus Lye, an international graduate who pursued a PhD degree at @LivUni, talks about their #PhD journey and moving back to their home country to start their graduate career ✨ 👉 bit.ly/424qRy4
It has never been an easy decision to do a PhD, let alone doing it in another country! Kudos to all our international PhD students who made the difficult choice of stepping out of their comfort zone!
Every day I am in awe of international students. Doing a PhD in your native language and home country is hard. Doing it in a non-native language, in a different country and different culture is so much harder. You are not stupid. You are legends.
An eventful week which has seen the approval of my revised Thesis and the subsequent confirmation of the successful completion of my PhD journey. I owe all of this to my peers and mentors in Liverpool! Thank you to everyone. Celebrated this important milestone with a 10KM race!
Random numbers (e.g. from PRNGs) are everywhere in AI—but are they actually a good idea? In particular, are random numbers the best we can do for numerical problems like linear algebra, integration and optimisation? Probabilistic Numerics (PN) has (very radical!) views 🧵
Pleased to share that our paper: "Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter In Engineering Applications" is finally published and made accessible via: asmedigitalcollection.asme.org/risk/article-a… Thank you to everyone who made this possible!
Humbled and thrilled to announce I managed to install the printer. Thanks to all my collaborators, students, and family who supported me over the past years
Saying goodbye is never easy, especially after making Liverpool a home for the past 4 years. All I have to say to everyone who we've met over the past 4 years is this: "Thank You for being a part of my journey in Liverpool!" I am going to miss everyone tremendously.
A sad week for AGSB long serving /former staff and alumni as we learn of the death of John Taylor. John was a highly respected member of the @agsb_official common room from 1972 – 2012 and was also an extremely successful Head of Maths. RIP.
Do you want to work on perception/planning for self-driving cars? We have some intern positions available in the team next year! Apply or dms welcome :-)
Intern at Five! We’re excited to announce that our 2023 intern programme is now open for applications. Check out our Interns career page for more info: five.ai/interns Build your career. Build the future!
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