Angelica Aviles-Rivero

I am currently an Assistant Professor at the Yau Mathematical Sciences Center, Tsinghua University, where I lead the Math+ML+X group. I am also an Affiliated Assistant Professor (by courtesy) at the University of Cambridge. Previously, I was an Assistant Research Professor (before known as Senior Research Associate) at DAMTP (& DPMMS), University of Cambridge, where I was affiliated with the CMIH, the Cantab Capital Institute for the Mathematics of Information (CCIMI), the Statistical Laboratory, and the Cambridge Image Analysis Group (CIA). During my time at Cambridge, I was very fortunate to be mentored by Prof. C.-B. Schönlieb.

I received my MS degree at the Department of Computer Engineering and Mathematics from the Rovira i Virgili University, Spain. I received my PhD degree (2017) at the at the UPC – BarcelonaTech, Spain under the supervision of Prof. A. Casals. As part of my PhD program, I was a visiting researcher at the École Normale Supérieure (ENS, Paris) and at the George Washington University (GWU, USA) .

My research lies at the intersection of computational mathematics and machine learning for applications to large-scale real world problems. My central research is to develop new data-driven algorithmic techniques that allow computers to gain high-level understanding from vast amounts of data, this, with the aim of aiding the decisions of users. These methods are based on mathematical modelling and machine learning methods.

(Maths+ML+X)
$\bigstar$ Applied Mathematics $\bigstar$ Computational Mathematics $\bigstar$ Inverse problems for Imaging $\bigstar$ Machine Learning
$\bigstar$ Graph Learning $\bigstar$ Hybrid Models. $\bigstar$ AI4Science
$\checkmark$ I’m a SIAM, CVF, and ELLIS member.

My Erdös Number is 4.

🔖ELLIS Member 🔖General Chair ISBI 2026 🔖Organising Committee MICCAI 2026
Past: 🔖SIAM SIAG/IS Officer 🔖Area Chair MICCAI 2025/2024/2023 / BMVC 2024 🔖Co-organiserMedAGI24 / GrapHMedIA24 🔖Co-organiser GrapHMedIA25 / MedAGI25 / GAIA25 / CVAMD25 … 🔖See More
🏆 ICML 2020 Outstanding Paper Award.

🚨 Looking for a Postdoc position? or THU students seeking a PhD, reach out! Link
🚨Available Paid Internships!

NEWS

January 2026 — Our LEGATO work for Machine Unlearning is out as pre-print!
Dec 2025 — Our Mamba Neural Operator has been accepted @Journal of Computational Physics
Dec 2025 — Our Training-free Dual Hyperbolic Adapters has been accepted @IEEE Transactions on Multimedia
Dec 2025 — Our work on FNO forModelling Exciton-Polariton Condensate Systems is accepted in Communications Physics Nature!!
Nov 2025 — Our work on Efficient Depth-Wise Pruning in LLMs has been accepted @AAAI 2026!
Nov 2025 — VesSAM for vessel segmentation has been accepted @IEEE BIBM!
Nov 2025 — Our work in age prediction and neurodegeneration is accepted @eBioMedicine – The Lancet Discovery Science!!!
Oct 2025 — Our new Neural Operator model, FINO, is out as pre-print!
Sept 2025 — Our TTA for MRI has been accepted @NeurIPS
Sept 2025 — I have been recognised with a MICCAI 2025 Outstanding Area Chair Award
August 2025 — Our NeuTSFlow work for time-series forecasting is out as pre-print
July 2025 — Our work on Point Cloud Matching for Maritime Tracking has been accepted
June 2025 — Our Implicit U-KAN 2.0 has been accepted in MICCAI 2025!
June 2025 — Our Deep Spectral Prior work is out as preprint!!
May 2025 — A Fourier Neural Operator for Exciton-Polariton Condensate Systems pre-print!
May 2025 — Happy we won a Tsinghua-PolyU Joint Research Initiative Fund! Joint us!
May 2025 — Brain Foundation Models with Hypergraph Dynamic Adapter is out as pre-print!
April 2025 — Happy to serve as General Co-Chair for ISBI 2026! Stay tune!
March 2025 — Our paper in TTA MRI reconstruction is out as pre-print!
March 2025 — Our work in Brain age prediction and neurodegeneration detation is out!
March 2025 — Our post in SIAM News Online about The Renaissance of the Graph p-Laplacian is out
March 2025 — Our Implicit U-KAN2.0 has been released as pre-print!
March 2025 — Our Mamba4D for 4D Point Cloud Video Understanding has been accepted @CVPR2025!
Feb 2025 — Our INR survey has been accepted @TMLR!
Jan 2025 — Happy to serve as an Area Chair for MICCAI 2025!
Jan 2025 — DiffMIC-v2: Medical Image Classification via Improved Diffusion Network has been accepted @TMI!
Dec 2024 — KAN-Plug-and-Play has been released as preprint!
Dec 2024 — SONO for cross-modal few-shot learning is accepted @AAAI2025!
Dec 2024 — Our TraffiCAM dataset has been accepted for publication!
Nov 2024 — Congratulations to Dr. Liu on passing his viva! 🎉 My second PhD graduate!!
Nov 2024 — Giving a Plenary Talk @Learning on Graphs (LoG), Duke-Kunshan University
Oct 2024 — Our technical and performance survey on INR is out as preprint
Oct 2024 — Our Single Shot PnP technique has been accepted @TMLR!
Oct 2024 — Our Mamba Neural Operator is out as preprint!
Sep 2024 — Our work on Convergent Bregman Plug-and-Play for Nonconvex Imaging is out as preprint!
Aug. 2024 — Our Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba work has been accepted in MedIA journal!
July 2024 — 2 papers accepted @ACMMM’24
July 2024 — Our work NODE-Adapter work is out as preprint
July 2024 — Our paper on Semi-Supervised Video Desnowing has been accepted @ECCV2024!
June 2024 — 2 papers accepted @MICCAI 2024 on segmentation! + 1 tutorial +1 workshop!
June 2024 — Our Deep Block Proximal work is out as preprint
May 2024 — 2 papers accepted @ICML24 – HAMLET for PDEs and Leddam for time series forecasting!
April 2024 — Our ‘The Missing U for Efficient Diffusion Models‘ work is accepted @TMLR
March 2024 — Our Workshop on Foundation Models for General Medical AI is accepted in MICCAI 2024!
March 2024 — Our tutorial on Graph Learning- GraphMIA has been accepted @MICCAI 2024!
March 2024 — Our work on Diffusion Test-Time Adaptation for Video Weather Removal has been accepted @CVPR2024
Feb 2024 — Graph or non-Graph, that is the question– HAMLET framework for PDEs out as preprint
Feb 2024 — Our NorMatch Work for Semi-supervised Learning has been accepted @TMLR

Read More News!

Feb 2024 — I’m now serving as an Associate Editor of Computerized Medical Imaging and Graphics
Jan 2024 — The output from the grand Challenge CONIC has been accepted in MedIA journal, where CIA-team got 4th place (out of 373 submissions)
Jan 2024 — Our new dataset TrafficMOT has been released as pre-print in a great collab
Dec 2023 — Our – Single Shot PnP framework is out as pre-print
Dec 2023 — Our work on INRs- TRIDENT has been released as pre-print
Nov 2023 — Our Traffic Video Object Detection using Motion Prior work is out as pre-print
Nov 2023 — Welcome Joy Cheng as new Research Assistant under the Accelerate-C2D3 funding award, driving innovation in diffusion models!
Nov 2023 — Our CLMorph work for Unsupervised Medical Segmentation has been accepted @TNNLS!
Nov 2023 — Our Beyond U work for Making Diffusion Models Faster & Lighter is accepted in NeurIPS Workshop on Diffusion Models
October 2023 — Grateful and happy to receive an Accelerate-@CambridgeC2D3 funding award to push diffusion models
September 2023 — congrats to Sergio for finalising his MPhil in Machine Learning under my co-supervision
August 2023 — Our MammoDG technique for generalisable breast cancer screening is released as pre-print
July 2023 — Our Video Adverse-Weather Suppression work has been accepted @ICCV2023
June 2023 — Our Cold Diffusion-based MRI reconstruction (CDiffMR) work has been accepted @MICCAI2023
May 2023 — Our work DiffMIC framework has been early accepted @MICCAI2023
May 2023 — Our work on DL based diffusion tensor cardiac is out as preprint
April 2023 — Thanks to Oracle Research for the Oracle for Research Project Award!! 🎖️
April 2023 — Guest Editor International Journal of Computer Vision (IJCV) special issue
April 2023 — Our GrapHMedIA tutorial has been accepted @MICCAI 2023
April 2023 — Our work on prognosis for Alzheimer’s Disease using hypergraphs has been released
April 2023 –Our framework DiffMIC for medical image classification is out as preprint
April 2023 –Our work for the CoNIC Challenge is out as preprint, where we ranked 4th place for cellular composition
March 2023 — Our work on Learning Homeomorphic Image Registration is out as pre-print.
March 2023 — Our work on robustness and explanability for Surgical Action Triplet Recognition has been accepted @ ICLR23 W-TML4H
March 2023 — Our SCOTCH and SODA technique has been accepted @CVPR23
March 2023 — Happy to receive an EPSRC Capital Award
Feb 2023 — Happy to serve as an Area Chair for MICCAI 2023
Feb 2023 — Giving an invited seminar @Université Clermont Auvergne
Jan 2023 — Our Vision GNN U-Net (ViGU) for fast MRI reconstruction has been accepted @ISBI23
Jan 2023 — Happy to join the BMVC 2023 organisation team
Dec 2022– TrafficCAM a new dataset for traffic flow segmentation is out as preprint
Dec 2022 — Giving a Seminar talk @AI Seminar Series Cancer Research UK
Nov 2022 — Our new work in semi-supervised classification, NorMatch, is released as pre-print
Nov 2022 — Our SCOTCH and SODA technique for video shadow detection is out as pre-print.
October 2022 — An article discussing our Graph Diffusion Nets for Alzheimer Classification has appeared in Plus Math
October 2022 — We, together with the German Aerospace Center/TUM team, will give a set of lectures in the IADF School 2022
September 2022 — Why Deep Surgical Models Fail? check our new preprint on Robustness!
September 2022 — Our MorphH framework for classifying mammograms has been accepted @MedIA!
August 2022 — Our LaplaceNet framework for Semi-Supervised Classification has been accepted @TNNLS!
August 2022 — I’ve been awared a C2D3 Early Career Researcher Seed Fund 2022 (Isaac Newton Trust and Cambridge Centre for Data-Driven Discovery).
August 2022 — Congrats to Joy for sucessfully denfing her master thesis !!
July 2022 — Our solution, ranked in 4th place in the Grand Challenge CoNIC 2022, has received the NVIDIA merit award in MIUA 2022.
July 2022 — Great line up of keynotes and programme @MIUA22 and @WiMIUA22 in Cambridge!
June 2022 — Giving a outreach talk @Cambridge Imaging Festival 2022
June 2022 — Giving a seminar talk @Centre for Mathematical Imaging Techniques (CMIT), University of Liverpool
May 2022 — We, together with J Wolterink & E Bekkers, are organising GeoMedIA Workshop 2022! More details on: geomedia.amsterdam
May 2022 — Our work on Hypergraphs for Alzheimer Classification has been early accepted @MICCAI2022
May 2022 — Our workshop on Self-Supervised Learning Models together with JD AI research & UC San Diego in: https://icpr2022ssl.github.io/
April 2022 — Our work on Colon Nuclei Identification and Counting is out. Our solution ranked in 4th place in the Grand Challenge CoNIC 2022.
April 2022 — Our Hypergraph Diffusion Network work for Alzheimer has been released as preprint.
March 2022 — Our PC-SwinMorph framework for unsupervised image registration and segmentation is out as a preprint.
February 2022 — Serving as a Co-Chair for MIUA22 and WiMIUA. Stay tune @MIUA22 and @WiMIUA22
January 2022 — Our work in Semi-Supervised Semantic Segmentation has been accepted @IEEE TIP
December 2021 — Honoured to be the SIAM SIAG/IS Elected Secretary to serve as an officer for the term beginning 1/1/2022 (also elected candidate).
December 2021 — Our work on tuning-free PnP proximal algorithms has been accepted @JMLR. This is an extended work from our 🏆 ICML 2020 Outstanding Paper Award.
November 2021 –🏆 Got my very first PhD student graduated (co-supervised jointly with CB Schonlieb)! 🎓 Dr Sellars just passed his viva!
November 2021 — We have released our 🥞 CREPE-Model for semi-supervised classification.
October 2021 — Our systematic review in screening mammography has been accepted in Radiology
October 2021 — Our HERS Superpixels technique has been accepted @WACV22.
September 2021 — We have released, CycleCluster, an update of our hybrid techniques for semi-supervised classification
September 2021 — Listed as an “Outstanding Reviewer” @ICCV2021.
August 2021 — Our GraphXCOVID technique has been accepted in Pattern Recognition
August 2021 — Our theoretical analysis for random-walks based embeddings (Delving into Deep Walkers) is out as pre-preprint
July 2021 — Listed as a “Best Reviewers (Top 10%)” @ICML2021.
July 2021 — Our Learning Optical Flow for Fast MRI Reconstruction work has been accepted in Inverse Problems
July 2021 — Stop by at our tutorial session on Learning with Fewer Labels @IGARSS 2021
July 2021 — I’m serving as an Area Chair @MIDL 2021
July 2021 — Giving an invited talk @ETH medical image seminar series
June 2021 — LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification is out as preprint.
June 2021 — I’m a Group Project Leader, @WiSH Workshop, @BIRS @CMO
June 2021 — Our HERS superpixels technique is out as preprint.
May 2021 — Chairing a session @CCBI Annual Symposium
May 2021 — Nice to be listed as an Outstanding Reviewer @CVPR21
April 2021 — Giving a guest lecture for the Data Science program @QMUL
March 2021 — I’ll be co-hosting a session and giving a talk in another one (also serving as a poster judge) @SIAM CSE
February 2021 — Our work on mammography classification (breast cancer) is out as a preprint
January 2021 — Our tutorial “All You Need to Know about Learning with Limited Labels for Remote Sensing” has been accepted @IGARSS21
December 2020 — Our Tuning-free Plug-and-Play Framework is out as preprint. This is the extended version of our ICML 2020 Outstanding Paper Award.
December 2020 — Our Three-Task Variational Model has been accepted @MedIA journal!
December 2020 — Our Semi-Supervised Semantic Segmentation Technique is out as preprint.
December 2020 — Our CS+M work has been accepted @MedIA journal!
November 2020 — Our Deep Joint Indirect Registration and Reconstruction work has been accepted @MedIA journal!
November 2020 – Our work in unsupervised image segmentation is now out as preprint
November 2020 – Happy to be a guest scholar @UxB this term! Thanks for featuring me
October 2020 – Our ‘Dynamic Spectral Residual Superpixels’ has been accepted as a journal publication.
October 2020 – We have released our GraphXCOVID work as preprint
September 2020 – Giving an invited talk @Theory and Algorithms in Graph-based Learning, IMA (virtual event)
September 2020 – Happy to welcome Lihao Liu to the PhD program under my co-supervision
August 2020 – I’ll be serving as a Program Committee for @AAAI-21
August 2020 – Our “GraphNet Zoo” paper has been accepted @GRAIL2020 (GRaphs in biomedicAl Image anaLysis) Satellite Event @MICCAI2020.
August 2020 – Our “Adaptive FilterBank Pyramid” work has been accepted @IEEE TIP, in which one can represent different image processing operators and support multi-operator training in one single model!
July 2020 – We are happy and honoured to receive an ‘Outstanding Paper Award’ @ICML2020.
July 2020 – We are hosting a session on semi-supervised Learning @SIAM-IS20. Check it out here!
July 2020 – We are organising a session on Multi-Tasking Techniques @SIAM-IS20. Check it out here!
June 2020 – Giving a talk @SIAM MDS20 see this MS Link.
June 2020 – Our Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems work has been accepted @ICML2020.
May 2020 – We welcome our summer students! – which projects will carry on online.
April 2020 – Our Learning Optical Flow for Fast MRI Reconstruction work is released as preprint.
March 2020 – Our GraphNet Zoo work is now out as preprint.
March 2020 – Join the Cambridge Science Festival event “Harnessing big clinical data in medicine: can AI improve Breast Cancer Screening?” where I will be giving a talk.
March 2020 – Giving a talk @Cancer Research UK Cambridge Institute.
Feb 2020 – Our Tuning-free Plug-and-Play Proximal Algorithm is now out as preprint.
Feb 2020 – Updates of our works on Deep Semi-Supervised Learning can be found in two-cycle learning and in Graph 1-Laplacian
Jan 2020 – Our work for specular-free video recovery is out as preprint.
Dec 2019 – Our work has been accepted @TGRS.
Dec 2019 – Our work “Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster…” is now out as preprint
Dec 2019 – Our learning-based approach that captures the reflection statistical prior for single image reflection removal is out now as a preprint
Nov 2019 – Stop by our talk -Hunua 1 @ Aotea, Room @ACPR19
Oct 2019 – Stop by the Thursday Session @15:30 (Hall B) to discuss our RainFlow work – A DL based optical flow method designed to handle heavy rain #ICCV19.
Oct 2019 – Our “Dynamic Spectral Residual Superpixels” work is now out as prepint.
Oct 2019- Pop over at the Tuesday session @3.30, where I’ll be presenting our GraphX-NET work @MICCAI’19.
Sept 2019 – Giving an Invited Talk @Universiteit Leiden, NL.
Sept 2019 – I’ll be serving as a Program Committee @AAAI-20.
August 2019 – Can one get higher quality, super-resolved and motion-free, MRI reconstructions by joining reconstruction, registration and super-resolution? check out our new preprint
August 2019 – Congratulations to M. De Vriendt for successfully defending her Cambridge MPhil thesis under my supervision.
July 2019 – We got our RainFlow paper accepted @ ICCV’19.
July 2019 – I’ll be serving as an Area Chair @ IEEE WACV ’20
June 2019 – Our “GraphX-NET” paper has been early accepted @MICCAI’19.
June 2019 – Our “Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?” paper has been accepted @IEEE Transactions on Image Processing.
May 2019 – I’ve been invited @IPAM, UCLA for @Geometry and Learning from Data in 3D and Beyond program.
May 2019 – We will organise a tutorial @ACPR19: Classic and Deep Vision for Healthcare Image Analysis [Webpage].
April 2019 – We got our work accepted @IGARSS2019
April 2019 – Giving an invited talk @GAMM. Raitenhaslach, Germany.
April 2019 – Giving an invited seminar talk @ School of Clinical Medicine, Cambridge.
Mar. 2019 – Our work on Graph-Based Learning for Hyperspectral Image Classification is out as preprint.
Mar. 2019 – We got our work accepted @SSVM2019
Feb. 2019 – Our ReTouchImg work has been accepted @Computerized Medical Imaging and Graphics Journal.
Feb. 2019 – Our Motion Correction Resolved for MRI via Multi-Tasking work has been accepted @ISMRM2019.
Jan. 2018 – Our work on Learning with Minimal Supervision for Hyperspectral Image Classification is out as preprint. Extended version coming soon.
Jan. 2018 – We re-started the Cambridge Imaging Clinic offering a free, walk-in consultation service for imaging related projects. More Info.
Dec. 2018 – I’m visiting @NUS, Singapore this December.
Dec. 2018 – Giving a talk @math-NUS
Dec. 2018 – Stop by our talk -Level 2 Riverview, Room 5, @ACCV, Perth, Australia.
Nov. 2018 – I’ll be giving an invited talk @Using images at scale to understand environments and behaviours.
Nov. 2018 – Our work for improving undersampled MRI reconstruction is now out as pre-print.
Oct. 2018 – Our tutorial website for the @ACCV18 is now online.
Oct. 2018 – Presenting our Peekaboo where are the objects? work @ICIP18 stop by on Wed. 10th.
Sept. 2018 – EPSRC Maths-Healthcare Meeting @University of Glasgow.
Sept. 2018 – I’ll be giving an invited talk @Data Challenges in Cardiovascular Research.
August 2018 – I’m happy to welcome our visitors/collaborators from SDU and NUS.
July 2018 – Our Tutorial Proposal has been accepted @ACCV18.
June 2018 – Presenting our work on Tue 19 @ISMRM18.
June 2018 – Our “Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?…” work is now out as a pre-print.
June 2018 – Giving a talk on Wed 06 @SIAM-IS18
May 2018 – Our “Peekaboo – Where are the Objects? …” paper has been accepted at ICIP2018.
May 2018 – I’ll be giving an invited talk at “Representational Similarity Analysis and Advanced Computational Methods” @RSA2018.
April 2018 – Upcoming Events
April 2018 – I’ll be giving an invited talk at @EPSRC Centre for Mathematical Imaging in Healthcare Academic Engagement Conference.
Feb. 2018 – Our CS+M work has been accepted at ISMRM2018.
Jan. 2018 – Our sliding to predict work has been accepted for journal publication.
Jan. 2018 – I’ll be a facilitator at the “Imaging Clinic” sessions during the Lent term.
Dec. 2017 – Our applied perception work on visual feedback has been accepted for journal publication (ACM).
Nov. 2017 – I’ll be giving an invited talk at the “Methods In Cognitive Neuroscience Day” at MRC Cognition and Brain Sciences Unit, Cambridge, UK.
Oct. 2017 – I’ll be a facilitator at the “Cambridge Imaging Clinic” for Michaelmas 2017.
Oct. 2017 – I’ll be giving an invited talk at “Developments in Healthcare Imaging – Connecting with Industry” event.
Oct. 2017 – Visitor at INI
September, 2017 – [@IROS2017 Vancouver, Canada] Our work in medical robotics will be presented in room 114, Monday 25th.