@_MatthewAshman

PhD student in probabilistic machine learning @CambridgeMLG.

 Cambridge, England
mattashman.github.io
Joined September 2019
  • Tweets25
  • Following252
  • Followers132
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Matthew Ashman retweeted
Thang Bui@thdbui28 May 2025
Indeed! now accepted at TMLR openreview.net/forum?id=L33D…. Also check out Titsias’ concurrent paper.
Jiaxin Shi
@thjashin21 Feb 2025
Replying to @andrewgwils
Still a lot of fun with GP research arxiv.org/abs/2502.04750 arxiv.org/abs/2502.08730
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Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data ift.tt/4NfnSjm
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Approximately Equivariant Neural Processes. arxiv.org/abs/2406.13488

Approximately Equivariant Neural Processes

Equivariant deep learning architectures exploit symmetries in learning problems to improve the sample efficiency of neural-network-based models and their ability to generalise. However, when...

arxiv.org
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Matthew Ashman retweeted
Cambridge MLG@CambridgeMLG27 Nov 2023
Adrian Weller @adrian_weller (mlg.eng.cam.ac.uk/adrian/), who has broad interests across trustworthy AI including explainability, fairness, robustness, scalability, privacy, safety, and ethics.
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Matthew Ashman retweeted
Umang Bhatt
@umangsbhatt10 Nov 2023
I successfully defended my PhD thesis today 🎉 Many thanks to my examiners, @erichorvitz and @lawrennd, for their thoughtful comments and a very fun viva!
PhD Defense

ALT PhD Defense

PhD Cover

ALT PhD Cover

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“This looks like the funny numbers you make on your laptop!!”
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PhD opportunities at the Cambridge Machine Learning Group @CambridgeMLG. Application deadline 1 Dec at noon (UK time). More info at mlg.eng.cam.ac.uk/phd_progra…
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Matthew Ashman retweeted
Nick Pawlowski@pwnic22 Aug 2022
I'm happy to share more information about our #NeurIPS2022 workshop on Causal ML for real-world impact. Please submit short papers until Sept, 30th and join us in New Orleans on Dec, 2nd. You can find more information and CfP here: cml-4-impact.vanderschaar-la…

NeurIPS 2022 Workshop on Causality for Real-world Impact // van der Schaar Lab

This workshop was held at NeurIPS on 2nd December 2023 Causality has a long history, providing it with many principled approaches to identify a causal effect [1-3] (or even distill cause from effect...

vanderschaar-lab.com
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Matthew Ashman retweeted
Umang Bhatt
@umangsbhatt22 Jul 2022
If you're at #ICML2022, check out our poster “Perspectives on Incorporating Expert Feedback into Model Updates” at the Updatable ML workshop in Ballroom 2 tomorrow at 3:30pm. 🧵 Joint w/ @valeriechen_, @HodaHeidari, @adrian_weller, @atalwalkar Preprint: arxiv.org/abs/2205.06905
Our expert-in-the-loop pipeline

ALT Our expert-in-the-loop pipeline

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Matthew Ashman retweeted
Nick Pawlowski@pwnic7 Jul 2022
I’m excited to to share our #NeurIPS2022 Causal ML Challenge organised by @MSFTResearchCam and @HelloEedi. Participants discover causal relations between learning constructs in synthetic and real data. Kudos to @wenbo_gong for setting it up. Please join: codalab.lisn.upsaclay.fr/com…
WenboGong@wenbo_gong7 Jul 2022
Excited to announce our #NeurIPS2022 Causal ML Challenge: Causal Insights for Learning Paths in Education, where you can test your causal models with real-world data! The competition starts now and we are looking forward to your participation! 🏆codalab.lisn.upsaclay.fr/com…
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I think the Cambridge MLMI MPhil is among the best and most competitive in Europe. We're looking for someone to help run the taught component! Job opportunity: Associate Teaching Professor at the University of Cambridge, Department of Engineering Advert: jobs.cam.ac.uk/job/35215/
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Matthew Ashman retweeted
Adrian Weller@adrian_weller2 Jun 2022
With deep gratitude and appreciation to amazing collaborators at @Cambridge_Uni @turinginst @CDEIUK @LeverhulmeCFI @CambridgeMLG @Cambridge_Eng @Cambridge_CL and beyond. And congratulations to all other recipients including @Marion_InfoLaw !
The Alan Turing Institute@turinginst2 Jun 2022
Huge congratulations @adrian_weller - recognised today with an MBE in the Queen's Platinum #JubileeHonours list, awarded for his outstanding services to digital innovation. gov.uk/government/news/honou…. #PlatinumJubilee

Honours list marks HM The Queen's Jubilee year

HM The Queen’s Jubilee Birthday Honours List 2022 marks the public service of individuals across the UK in celebration of Her Majesty’s 70 years of service.

gov.uk
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PhD student @umangsbhatt awarded a @jpmorgan AI #PhD #Fellowship Umang works to ensure that machine learning technologies are developed responsibly. As #AI makes ever more decisions in our lives, his research is incredibly important. eng.cam.ac.uk/news/phd-stude… @StEdmundsCam
PhD student Umang Bhatt has been awarded a J.P. Morgan AI PhD Fellowship

ALT PhD student Umang Bhatt has been awarded a J.P. Morgan AI PhD Fellowship

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Matthew Ashman retweeted
Naiti S. Bhatt
@naitisb26 May 2022
I'm excited to announce that I'm going to begin my graduate studies this fall at @UoE_Psychology, exploring the neural mechanisms of theory of mind development with @hil_richardson, funded by @SocSciScotland.
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Matthew Ashman retweeted
Umang Bhatt
@umangsbhatt13 Aug 2021
Sharing an RA opportunity to collaborate on explainability w/ Frens Kroger, Beate Grawemeyer, @jeffhancock, and me. We're looking to study trust formation via transparency and its relation to online harms. bit.ly/3iKTRri
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Matthew Ashman retweeted
Wessel@ikwess7 Apr 2021
Replying to @CambridgeMLG
@CambridgeMLG is launching a blog, featuring a first two-part post about what keeps a Bayesian awake at night by Richard E. Turner and me. 🧵 mlg-blog.com/
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If you want to endow your (awesome) VAEs with (even more awesome) Gaussian Processes, have a look at our new AISTATS paper (arxiv.org/abs/2010.13472) where we present a scalable version of such models! More info in thread. 1/7
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PhD positions in Machine Learning at Cambridge. Please apply by Dec 3! Opportunities to work with me on trustworthy ML including fairness, interpretability and robustness. Feel free to get in touch if you have questions.
Jose Miguel Hernández-Lobato@jmhernandez23312 Nov 2020
PhD positions in Advanced Machine Learning at Cambridge Application deadline: noon December 3, 2020. Details about the application process can be found here: mlg.eng.cam.ac.uk/?page_id=6…
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Richard Turner and colleagues from @Cambridge_Uni @CambridgeMLG @ETH_en put together a very interesting piece of work on Gaussian Processes and Variational autoencoders, namely "Sparse Gaussian Processes Variational Autoencoders" arxiv.org/pdf/2010.10177.pdf I highly recommend it!
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