Recent and forthcoming machine learning and AI seminars: December edition


by
17 December 2020

share this:


AI seminars

This post contains a list of the AI-related seminars that are scheduled to take place between now and the end of January 2021. We’ve also listed recent past seminars that are available for you to watch. All events detailed here are free and open for anyone to attend virtually.

Upcoming events

This list includes forthcoming seminars scheduled to take place between 17 December and 31 January.

17 December 2020

Practical Backdoor Attacks and Defenses in Machine Learning Systems
Speaker: Pin-Yu Chen (IBM Research)
Organised by: Trustworthy ML
Register here.

AI and individual rights
Speakers: To be confirmed
Organised by: Information Commissioner’s Office (ICO)
Register here.

The decision-making side of machine learning: computational, inferential and economic perspectives
Speaker: Michael Jordan (University of California, Berkeley)
Organised by: Chalmers University of Technology
Register here.

11 January 2021

Decoding the human genome and understanding disease with machine learning models
Speaker: Olga Troyanskaya (Princeton University)
Organised by: Chalmers University of Technology
Register here.

19 January 2021

Title to be confirmed
Speaker: Dimitris Giannakis (Courant Institute of Mathematical Sciences)
Organised by: University of Minnesota

21 January 2021

Title to be confirmed
Speaker: Zachery Lipton (Carnegie Mellon University)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up, or check the website a few days beforehand for the Zoom link.

Title to be confirmed
Speaker: Zico Kolter (Carnegie Mellon University)
Organised by: C3.ai DTI

22 January 2021

Deep learning in Earth observations
Speaker: Arnt-Børre Salberg (Norwegian Computing Center)
Organised by: Norwegian University of Science and Technology
You can sign up via the Zoom link here.

26 January 2021

An optimal transport perspective on uncertainty propagation
Speaker: Amir Sagiv (Columbia University)
Organised by: University of Minnesota
Register here.

28 January 2021

Title to be confirmed
Speaker: Subhonmesh Bose (University of Illinois at Urbana-Champaign)
Organised by: C3.ai DTI

Past events

This list includes completed seminars that took place between 1 November and 16 December.

2 November 2020

Efficient learning of cytoskeletal dynamics with multiscale machine learning and optimized projection operators
Speaker: Cory Scott (University of California, Irvine)
Organised by: University of California, Irvine
Watch the seminar here.

3 November 2020

Machine learning methods for solving high-dimensional mean-field game systems
Speaker: Levon Nurbekyan (University of California, Los Angeles)
Organised by: University of Minnesota
Watch the seminar here.

Reinventing the eye examination with deep learning
Speaker: Pearse Keane (Moorfields Eye Hospital, UCL)
Organised by: University of Manchester
Watch the seminar here.

6 November 2020

AI and ML techniques and results in healthcare
Speaker: Sule Yayilgan (Norwegian University of Science and Technology)
Organised by: Norwegian University of Science and Technology
You can watch the seminar here.

Algorithmic fairness and metric elicitation via the geometry of classifier statistics
Speaker: Sanmi Koyejo
Organised by: Harvard ML Theory
Watch the seminar here.

9 November

Recent advances in anomaly detection
Speaker: Lukas Ruff (TU Berlin)
Organised by: University of California, Irvine
Watch the seminar here.

10 November

Natural graph wavelet packets
Speaker: Naoki Saito (University of California, Davis)
Organised by: University of Minnesota
Watch the seminar here.

12 November 2020

Deep learning: it’s not all about recognizing cats and dogs
Speaker: Carole-Jean Wu (Facebook AI Research and Arizona State University)
Organised by: Princeton University
Watch the seminar here.

Many-body quantum wave functions in the era of machine learning
Speaker: Giuseppe Carleo (EPFL)
Organised by: University of Oxford
Watch the seminar here.

Mathematics of deep learning
Speaker: René Vidal (Johns Hopkins University)
Organised by: C3.ai DTI
Watch the seminar here.

Rising star spotlights
Speaker: Irene Chen (MIT) and Arpita Biswas (Indian Institute of Science)
This session will include two talks: “Ethical machine learning for healthcare” (Irene) and “Two-sided fairness guarantees for recommendation systems” (Arpita)
Organised by: Trustworthy ML
Watch the seminar here.

13 November 2020

Insights on gradient-based algorithms in high-dimensional non-convex learning
Speaker: Lenka Zdeborova
Organised by: Harvard ML Theory
Watch the seminar here.

17 November 2020

Fast statistical and geometric distances between families of distributions
Speaker: Alexander Cloninger (University of California, San Diego)
Organised by: University of Minnesota
Watch the seminar here.

Differential equations and deep learning
Speaker: Markus Heinonen (Aalto University)
Organised by: University of Manchester
Watch the seminar here.

19 November 2020

Unveiling the predictive power of static structure in glassy systems
Speaker: Victor Bapst (Google Deep Mind)
Organised by: University of Oxford
Watch the seminar here.

Tracking the few and far between: computational strategies to speed the discovery of low-frequency genomic variation in COVID-19
Speaker: Nancy Amato (University of Illinois at Urbana-Champaign), Lawrence Rauchwerger (University of Illinois at Urbana-Champaign) and Todd J. Treangen (Rice University)
Organised by: C3.ai DTI
Watch the seminar here.

20 November 2020

Representation and learning in graph neural networks
Speaker: Stefanie Jegelka (MIT)
Organised by: University of Texas at Austin
Watch the seminar here.

Just, equitable, and efficient algorithmic allocation of scarce societal resources
Speaker: Sanmay Das (George Mason University)
Organised by: PennState
Watch the live stream here.

On the convergence of gradient descent for wide two-layer neural networks
Speaker: Francis Bach
Organised by: Harvard ML Theory
Watch the seminar here.

24 November 2020

Memory and reinforcement learning
Speaker: Charles Blundell (DeepMind)
Organised by: Carnegie Mellon University
Watch the seminar here.

26 November 2020

Provably exact sampling for first-principles theoretical physics
Speaker: Phiala Shanahan (MIT)
Organised by: University of Oxford
Watch the seminar here.

1 December 2020

Enhancing Western United States sub-seasonal forecasts: forecast rodeo prize competition series
Speaker: Kenneth Nowak (US Bureau of Reclamation)
Organised by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Watch the seminar here.

2 December 2020

Topological clustering of multilater networks
Speaker: Yulia Gel (UT Dallas)
Organised by: New York University
Watch the seminar here.

3 December 2020

Intelligibility throughout the machine learning life cycle
Speaker: Jenn Wortman Vaughan (Microsoft Research)
Organised by: Trustworthy ML
Watch the seminar here.

Reconstructing quantum states with generative models
Speaker: Roger Melko (University of Waterloo)
Organised by: University of Oxford
Watch the seminar here.

8 December 2020

Let’s argue – understanding and generating natural language arguments
Speaker: Iryna Gureyvch (TU Darmstadt)
Organised by: University of Manchester
Watch the seminar here.

Why Neural Rendering is getting more amazing every day!
Speaker: Matthias Niessner (Technical University of Munich)
Organised by: Carnegie Mellon University
Watch the seminar here.

15 December 2020

Topographic constraints on visual development
Speaker: Michael Arcaro (University of Pennsylvania)
Organised by: Carnegie Mellon University
Watch the seminar here.

For a more complete list, including past events back to June 2020, please see our dedicated seminar page.

If you are aware of any seminars we’ve missed then please just send us an email and we’ll add them to the list.




Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Radical AI podcast: featuring Kate Crawford

In this episode Jess and Dylan chat to Kate Crawford about the Atlas of AI.
20 April 2021, by

AIhub – leading organisations form new charity to advance public understanding of artificial intelligence

AIhub aims to empower everyone to learn about AI. Learn more about our journey and new charity.
15 April 2021, by

Maximum entropy RL (provably) solves some robust RL problems

Nearly all real-world applications of reinforcement learning involve some degree of shift between the training environment and the testing environment, and it is increasingly important to learn policies that are robust to these changes.
14 April 2021, by


















©2021 - Association for the Understanding of Artificial Intelligence