Sheffield Machine Learning Network

A researchers' forum for those working in and with machine learning at the University of Sheffield

[Sheffield Machine Learning Network @sheffieldmlnet]

Next Friday, 17th June, Professor Neil Lawrence will be speaking in Sheffield on Deep Gaussian Processes: A Motivation and Introduction.

The Diamond, Lecture Theatre 3.
16:30 (talk starts at 17:00).

Why is uncertainty important to propagate?

https://t.co/VCuEL5nfM9 1/3

[Sheffield Machine Learning Network @sheffieldmlnet]

PhD position available developing and applying new methods for insect tracking, to explore and understand their behaviour. Working in a team of ML, neuroethology and ecology researchers. Apply here: https://t.co/V38CWhvf1N

[Sheffield Machine Learning Network @sheffieldmlnet]

Sheffield computer science is now recruiting for several academic posts!
https://t.co/fWBtDbH6Rx

[Sheffield Machine Learning Network @sheffieldmlnet]

@tanujkaria @sheffielduni Thanks @tanujkaria - hope you enjoy!

[Sheffield Machine Learning Network @sheffieldmlnet]

The sold-out Gaussian Process Summer School has begun!
Richard Wilkinson introduced GPs. Next: Carl Henrik & GP Intro 2!
Thanks @wilkinson_rich @carlhenrikek! https://t.co/wuv3Fm3kda #GPSS22

[Sheffield Machine Learning Network @sheffieldmlnet]

MLNet's next speaker: Professor Ivan Tyukin will be discussing his fascinating theory of learning in artificial neural networks: how it is possible to robustly achieve few-shot learning.

Date: Friday, 15th July,
Where: Ada Lovelace, Computer Science, Sheffield.
Time: 16:00

[Sheffield Machine Learning Network @sheffieldmlnet]

Reminder! Neil Lawrence will be talking about Deep GPs, tomorrow (Friday) at the Diamond, in Sheffield (5pm). https://t.co/OlV2lunHW6

[Sheffield Machine Learning Network @sheffieldmlnet]

Neil previously was Professor of ML here in Sheffield. He continued to develop applied probabilistic ML while director of machine learning at Amazon in Cambridge. In 2019, he was appointed as the inaugural DeepMind Professor of Machine Learning at the University of Cambridge. 3/3

[Sheffield Machine Learning Network @sheffieldmlnet]

Next Friday, 17th June, Professor Neil Lawrence will be speaking in Sheffield on Deep Gaussian Processes: A Motivation and Introduction.

The Diamond, Lecture Theatre 3.
16:30 (talk starts at 17:00).

Why is uncertainty important to propagate?

https://t.co/VCuEL5nfM9 1/3

[Sheffield Machine Learning Network @sheffieldmlnet]

Significant advances in AI, enable super-human performance in Go and prediction of protein folding. Neil will look at deep learning from the perspective of deep Gaussian processes. These allow us to propagate uncertainty. He'll explain why this is important. 2/3

[Sheffield Machine Learning Network @sheffieldmlnet]

We are excited to announce tomorrow's neuroscience institute seminar presented by our newly appointed ML lecturer Dr. Aditya Gilra:

Title: Biologically plausible learning for movement control and cognition.
Date: 13th March 2020
Time: 12-1pm
Venue: SITraN, B02/03

[Sheffield Machine Learning Network @sheffieldmlnet]

Exciting chance to be part of the ML group here in Sheffield!

[Mike Smith @mikethomassmith]

*New* (2nd) really awesome job in ML at Sheffield!!
Concerned about air pollution?
Want to apply Machine Learning for Good?
Love Gaussian processes?
Start date super-flexible!
Plus: Collaborate with team in Kampala!
Application deadline: 16th Nov.
https://t.co/0DN0zjMpC3

[Sheffield Machine Learning Network @sheffieldmlnet]

Multi-fidelity Bayesian Optimisation using Max-value entropy search, inspired work by Henry Moss @Henrymossmoss. Talk at the ML Seminar.

[Sheffield Machine Learning Network @sheffieldmlnet]

Our next Machine Learning Seminar is by Henry Moss @Henrymossmoss, who will be talking about "MUMBO: MUlti-task Max-value Bayesian Optimization". The Seminar is on Wednesday Nov 06 at 15:00. More details in the following link
https://t.co/ebukL3j4rN

[Sheffield Machine Learning Network @sheffieldmlnet]

Exciting posdoc opportunity for a joint post between @shefcompsci and @mathsatshefuni at Sheffield, and Kampala, tackling the challenges of monitoring air pollution from low-cost sensors.

[Mike Smith @mikethomassmith]

*New* (2nd) really awesome job in ML at Sheffield!!
Concerned about air pollution?
Want to apply Machine Learning for Good?
Love Gaussian processes?
Start date super-flexible!
Plus: Collaborate with team in Kampala!
Application deadline: 16th Nov.
https://t.co/0DN0zjMpC3

[Sheffield Machine Learning Network @sheffieldmlnet]

Our next Machine Learning Seminar is by Jeremias Knoblauch (@LauchLab) on "Generalized Variational Inference". Details here: https://t.co/EcUvrY3kl1

[Sheffield Machine Learning Network @sheffieldmlnet]

Videos and slides for the 2019 Gaussian Process and Uncertainty Quantification Summer School are now available at https://t.co/w2Woa9t9nx

[yingzhen @liyzhen2]

It was fun to talk about Bayesian NNs in the GP summer school in Sheffield, especially after @lawrennd criticising how crappy BNNs could be without good approximate inference

[Richard Wilkinson @wilkinson_rich]

Job: two year post doc working with @maalvarezl @mikethomassmith and me in Sheffield on physically informed Gaussian processes
https://t.co/APOqVNJfV5
Aim is to build advection and diffusion into GP models to predict air pollution in Kampala. Closing date is 19 Sept. Please RT!

[Sheffield Machine Learning Network @sheffieldmlnet]

Our Machine Learning Seminar for next week will be by @Boukouva1Alexis on "Using Gaussian process models to infer pseudotime and identify gene-specific branching dynamics from single-cell data". Seminar on Friday, July 19, 14:00 hrs, Main Lewin Computer Science.

[Sheffield Machine Learning Network @sheffieldmlnet]

@isp_uv_es @lawrennd https://t.co/m1nHKRvIKD

[Sheffield Machine Learning Network @sheffieldmlnet]

A snapshot of this morning's presentations by some of the group's PhD students and affiliated members, as well as a talk by @lawrennd on end-to-end interpretable ML