@fermorenp profile picture
Fernando Moreno-Pino @fermorenp

Assistant Professor in Machine Learning at @BristolUni. Research Associate at @Oxford_Man_Inst. Previously PostDoc at @UniofOxford and PhD at @uc3m.

Joined October 2012
  • Tweets 58
  • Following 1,639
  • Followers 229
1 Photos and videos
Fernando Moreno-Pino retweeted
Gerardo Duran-Martin@grrddm
6 Jan 2025
Part I of a Bayesian’s take on (Kalman) filtering—without Bayes. I will cover filtering and applications—from classical tracking problems to time-series forecasting, sequential learning for neural networks, and fully-online reinforcement learning gerdm.github.io/posts/filter…

Filtering notes (I): signal plus noise models

Part I of the filtering notes series: Part I: signal plus noise models Part II: state-space-models Part III: state-space-models Introduction From tracking epidemics and predicting financial markets...

grdm.io
1
8
41
2,701
🚀 Today at #NeurIPS2024! Join us for our presentation on “Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures”. 🕚 Time: 11:00–14:00. 📍 Room #2006, East Exhibit Hall. Discover how to train much more efficient (& continuous!) Transformers!
1
7
339
Work done at @UniofOxford - @Oxford_Man_Inst. 📊 Poster: neurips.cc/virtual/2024/post…. 📄 Paper: openreview.net/forum?id=gXWm….
135
🚀 Exciting news! Thrilled to share that our paper on Rough Transformers has been accepted at @NeurIPSConf !🧠 We’ve developed a method to make Transformers more efficient and resilient with temporal data using path signatures. Check it: arxiv.org/abs/2405.20799 🙌 #NeurIPS2024

Rough Transformers: Lightweight and Continuous Time Series...

Time-series data in real-world settings typically exhibit long-range dependencies and are observed at non-uniform intervals. In these settings, traditional sequence-based recurrent models...

arxiv.org
Alvaro Arroyo@arroyo_alvr
11 Nov 2024
A little late, but happy to announce that our paper on Rough Transformers ⛰️ has been accepted at @NeurIPSConf! We present a way to make Transformers for temporal data more efficient and robust to irregular sampling through path signatures! Read on! #neurips2024 (1/7)
1
5
535
Fernando Moreno-Pino retweeted
Johannes Brandstetter@jo_brandstetter
29 May 2024
We introduce Geometry-Informed Neural Networks to train shape generative models without any data (!!), combining learning under constraints, neural fields as a suitable representation, and generating diverse solutions to under-determined problems: 🖥️: arturs-berzins.github.io/GIN…
5
150
813
203,876
Fernando Moreno-Pino retweeted
Ignacio Peis@IgnacioPeis
17 May 2024
📢 Exciting opportunity to work with an outstanding team of researchers! 📢 Feel free to reach out to us if you want to know more details about the ongoing projects!
Jes Frellsen@jesfrellsen
17 May 2024
We seek a postdoc (2-yr) at DTU specialising in generative modelling. Focus on diffusion & score-based models applied to physical systems. Interested? Contact me or learn more: groups.google.com/g/ml-news/… Check out our ongoing work: arxiv.org/abs/2405.05981 Please RT! #Postdoc
2
4
299
Fernando Moreno-Pino retweeted
Gerardo Duran-Martin@grrddm
10 May 2024
Happy to share that our outlier-robust Kalman filter (WoLF 🐺) has been accepted to #ICML! arxiv.org/abs/2405.05646 We propose a novel filtering algorithm that is provably robust and has similar computation cost to the KF. Now, why care about robust filtering?
3
25
124
70,141
Fernando Moreno-Pino retweeted
Caglar Gulcehre
@caglarml
28 Apr 2024
I am honored to announce that we will organize the "Next Generation of Sequence Modeling Architectures" workshop at ICML 2024 this year in Vienna. The workshop will take place on Friday, the 26th of July. The workshop page is: sites.google.com/view/ngsmwo…

1
13
87
16,762
Fernando Moreno-Pino retweeted
Jakob Foerster
@j_foerst
4 Apr 2024
As the @icmlconf discussion period is ending please go back to the papers you are reviewing and reread the autor responses. Did they address your concerns? If so, update your score. If not, add a specific response, not "I decided to keep my score". Do justice to time and effort🙏
1
12
54
8,805
It seems that combining emotion-based learning, affective computing, and a sprinkle of “Transformers’ magic” could be game-changing for numerous applications.
Hume AI
@hume_ai
27 Mar 2024
Meet Hume’s Empathic Voice Interface (EVI), the first conversational AI with emotional intelligence.
1:25
3
227
It was a pleasure to hear Prof. @geoffreyhinton's insights on the future of AI and the direction researchers should take to address its potential risks
University of Oxford
@UniofOxford
20 Feb 2024
Yesterday, Oxford University hosted Prof @geoffreyhinton, the ‘Godfather of AI’, to deliver its annual Romanes Lecture at the Sheldonian Theatre. Watch in full ⬇️ #OxfordAI ox.ac.uk/news/2024-02-20-rom…
3
260
Fernando Moreno-Pino retweeted
Laura Nicolás-Sáenz PhD@Laura_nicolass
12 Feb 2024
If you have ever felt frustrated or a little bit stupid when learning a new skill, come feel that with me while we learn how to use @QuPath. It's fine! It's normal! We can get through it together. Will you join me? youtu.be/MBrAVUsUdio

From Zero to QuPath Hero: Introduction

The hero's journey is the common template of stories that involve a...

youtube.com
1
17
24
3,809
Fernando Moreno-Pino retweeted
Estibaliz Gómez de Mariscal, PhD@gomez_mariscal
9 Oct 2023
Huge congratulations to @Laura_nicolass and cosupervsors @ArrateMunoz @jpascau on her recently defended PhD👩‍🎓 🚀🥳a truly creative work merging registration🧩and colour theory🎨for #digitalpathology #immunohistochemistry image analysis👩‍💻🧑‍⚕️The fun starts right with the title💍👑
1
6
24
2,667
Great personal news! 🎉 After successfully defending my PhD thesis, I am starting a Postdoctoral Researcher position at the @UniofOxford within the @Oxford_Man_Inst. I will be working at the intersection of Deep Learning and Quantitative Finance! See you all soon in Oxford! 🇬🇧
1
1
15
881
Fernando Moreno-Pino retweeted
Laura Nicolás-Sáenz PhD@Laura_nicolass
22 Mar 2023
It is finally published!: ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis mdpi.com/2207960
2
14
40
6,692
Fernando Moreno-Pino retweeted
Pablo Sánchez@ML_pablosm
23 Nov 2022
📰Excited to introduce our latest paper “Learnable Graph Convolutional Attention Networks”! arxiv.org/abs/2211.11853 Joint work by the awesome team @javaloyML, @amitzeani, and @IValeraM. 🔎 Sidenote: Let's meet at #NeurIPS2022! 🧵 (1/n)

1
6
31
Fernando Moreno-Pino retweeted
Laura Nicolás-Sáenz PhD@Laura_nicolass
23 Nov 2022
We have brought ABANICCO to #SPAOM2022 @SPAOM5 Come and discuss all the possible applications of our automatic color analysis method! 📍poster 3
1
3
8
Fernando Moreno-Pino retweeted
DeepAI
@DeepAI
18 Nov 2022
ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation deepai.org/publication/abani… by Laura Nicolás-Sáenz et al. including @jpascau, @ArrateMunoz #Classifier #ComputerVision

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation

11/15/22 - In any computer vision task involving color images, a necessary step is classifying pixels according to color and segmenting the r...

deepai.org
5
9
Fernando Moreno-Pino retweeted
Oxford-Man Institute@Oxford_Man_Inst
2 Nov 2022
New working paper! Congratulations to Fernando Moreno-Pino and Stefan Zohren on their paper “DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions”. Link to paper: arxiv.org/abs/2210.04797
3
2
3
Fernando Moreno-Pino retweeted
Daniel Barrejon@danibarrejon
23 Jul 2022
Our work on extending learning to defer to a multiple-expert setting will be presented at the ICML’s Human-Machine Collaboration an Teaming workshop! Work done during my visit at @AmlabUva together with @RaajeevVerma and @eric_nalisnick Paper: drive.google.com/file/d/1xqc…

multi_expert_learning_to_defer.pdf

drive.google.com
This tweet is unavailable
1
6
Load more