Seminars
Seminar Series
AIMS Seminar Series
All seminars will take place on Friday's from 12noon - 1:00 pm unless otherwise stated.
Hilary Term 2022
Week 1 - Friday 21st January
Fotios Logothetis (Toshiba) - Retrieving 3D geometry from light reflection; from classical photometric stereo to deep learning based approaches
Week 2 - Friday 28th January
Prof. Jakob Foerster (Dept. of Engineering Science) - Zero-shot Coordination and Off-belief Learning
Week 3 - Friday 4th February
Ciprian Antaloae (Hyundai) - Application of time series predictions for driving at the Nurburging - current results & challenges
Week 4 - Friday 11th Februry
Prof. Seth Flexman (Dept. of Computer Science) - Unrepresentative Big Surveys Significantly Overestimate US Vaccine Uptake
Week 5 -Friday 18th February
Soumen Chatterjee (Amazon Web Services) - Human 3.0 to Peter 2.0: Right to Thrive with AUgmented Intelligence
Week 6 - Friday 25th February - No Seminar
Week 7 - Friday 4th March @4pm
Giovanni Marchisio (Planet Fellow and VP of Analytics) - A New Benchmark Dataset for High Cadence Modeling of Land Cover Dynamics
Week 8 - Friday 11th March @2pm
Dr. MIchele Faragalli (Chief Technology Officer, Mission Control Space Services Inc) - Challenges of using AI on-board spacecraft & space robots
Michaelmas Term 2021
Week 1 - Friday 15th October
Davide Zilli (Mind Foundry) - Academic ML to Commercial AI: what do people want?
Week 2 - Friday 22nd October
Dr Michael Schaub (RWTH Aachen University, Germany) - Signal Processing on Graphs and Simplicial Complexes
Week 3 - Friday 29th October
David Petit (Deimos Space) - Earth Observation and Artificial Intelligence: how AI is impacting the sector
Week 4 - Friday 5th November
Borja de Balle Pigem (DeepMind) - “Reconstructing training data from ML models: attacks and mitigations"
Week 5 - Friday 12th November
Professor Nick Hawes (ORI) - Mission Planning with Uncertain Models
Week 6 - Friday 19th November
Orhan Firat (Google Brain) - "Adventures in Large-Scale Multitask Learning for Text in the Wild"
Week 7 - Friday 26th November
Professor Alessandro Abate (Department of Computer Science) - "Certified learning, or learning for verification?"
Week 8 - Friday 3rd December
Ankush Gupta (DeepMind/AIMS Alumni) - Self-supervised Representation for Perception and Control
Hilary Term 2021
Week 1 - Friday 22nd January
Professor Alessandro Abate (Department of Computer Science) - Automated and sound verification and control of dynamical models — learning meets logic
Week 2- Friday 29th January
Sergey Tulyakov (Lead Research Scientist at Snap Inc.) - Representations for Content Creation, Manipulation and Animation
Week 3 - Friday 5th February
Professor Noa Zilberman (Department of Engineering Science) - Do Switches Dream of Machine Learning?
Week 4 - Friday 12th February
Professor Gilles Louppe (University of Liege (Belgium)) - The frontier of simulation-based inference
Week 5 - Friday 19th February
Michael Bronstein – (Imperial/Twitter) - Geometric Deep Learning: the Erlangen Programme of ML
Week 6 - Friday 26th February
Alison Lowndes - (Nvidia) - Omniverse (and ISAAC): the unifying simulation platform.
Week 7 - Friday 5th March
Dr Alhussein Fawzi – (DeepMind) - Robustness and geometry of deep networks
Week 8 - Friday 12th March
Professor Angela Schoellig (University of Toronto) - POSTPONED
Michaelmas Term 2020
Week 1 - Friday 16th October
Peter Ondruska (Head of Research @ Lyft Level 5) - New Frontiers of Self-Driving
Week 2 - Friday 23rd October
Maurice Fallon (Oxford Robotics Institute) - Real-time 3D Navigation and Perception for Dynamic Mobile Robots
Week 3 - Friday 30th October
Krishnamurthy (Dj) Dvijotham (DeepMind Research Scientist) - Generalized black-box verification via randomized smoothing
Week 4 - Friday 6th November
Alberto Rizzoli – (V7 labs) - Computer Vision in Industry - Turning academic work into impact
Week 5 - Friday 13th November
Stefano Albrecht – (University of Edinburgh) - Reinforcement Learning in Multi-Agent Systems
Week 6 - Friday 20th November
Reuben Binns (Computer Science) - Human judgements in AI loops
Week 7 - Friday 27th November
Federico Passarin (AirBus) - Spacecraft attitude control: challenges and the role of machine learning
Week 8 - Friday 4th December
Christian Rupprecht (VGG) - Visual Learning with Reduced Supervision
Hilary Term 2020
Week 1 - Friday 24th January
Professor Alessandro Abate (Department of Computer Science) - "Automated, Sound and Scalable Analysis and Control of Dynamical Models with SAT and SMT"
Week 2 - Friday 31st January
Coorous Mohtadi (Mathworks) - "Are you Ready for AI? Is AI Ready for you?"
Week 3 - Friday 7th February
Professor Ingmar Posner (Oxford Robotics Institute) - "Robots Thinking Fast and Slow"
Week 4 - Friday 14th February
Robert Birke (ABB) - "Towards Industrial Autonomy"
Week 5 - Friday 21st February
Jeffrey Hawke and Corina Gurau (Wayve) - "Learned Urban Driving"
Week 6 - Friday 28th February
Pia Dreiseitel (Continental) - With Computer Vision to Vision Zero - A World Without Traffic Accidents"
Week 7 - Friday 6th March
Steve Spittle & Tom Jones (Satellite Catapult) - Driving Innovation with Geospatial Information
Week 8 - Friday 13th March
Professor Nick Hawes – (Oxford Robotics Institute) - "Mission Planning under Uncertainty for Autonomous Robots"
Week 9 - Friday 20th March - CANCELLED
Alison Lowndes (Nvidia) - "Fuelling the Artificial Intelligence Revolution with Gaming"
Michaelmas Term 2019
Week 1 - Friday 18th October
Professor Yarin Gal – Head of the Oxford Applied and Theoretical Machine Learning (OATML) Research Group, Department of Computer Science - "Bayesian deep learning. In space"
Week 2 - Friday 25th October (Host Xiowen Dong)
Professor Mike Rabbat (Facebook AI Research in Montreal) - "Gossip Algorithms for Distributed Learning"
Week 3 - Friday 1st November
Professor Pawan Mudigonda – Optimisation for Vision & Learning Group (OVAL) – Department of Engineering Science - "Optimization for Robust Deep Laarning"
Week 4 - Friday 8th November (Host Varun Kanade)
Alex Davies (Google) - "AlphaZero - A case study"
Week 5 - Friday 15th November – 11:00 – 12:00 NOTE TIME (Host Shimon Whiteson)
Hado van Hasselt (Senior Staff Research Scientist at Google DeepMind) - "Overconfidence in Model-based and Model-free Reinforcement Learning"
Week 6 - Friday 22nd November (Host Carissa Veilz)
Gemma Galdon Clavell (Eticas Research & Consulting) - Ethics on the Ground. "How Eticas Audits the Algorithmic Society"
Week 7 - Friday 29th November
No seminar
Week 9 - Monday 9th December (LR2) (Host Andrew Zisserman)
Professor Alyosha Efros (University of Berkeley, California)