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Seminars

This page contains a list of past and forthcoming seminars relating to AI and machine learning. All events listed here should be free and open for anyone to attend. For past events we have included a link to the video. For forthcoming events we have, where possible, included the sign-up link or information. If you spot any omissions please contact us as aihuborg@gmail.com.

AI and machine learning seminars

December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020

December 2020

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)
You will need to complete a short registration form to attend.

Title to be confirmed
Speaker: Xiuyuan Cheng (Duke University)
Organised by: University of Minnesota

Title to be confirmed
Speaker: Jia Deng (Princeton)
Organised by: Carnegie Mellon University
Sign up to the CMU mailing list to find out how to join the seminar.

Ethics guidelines as a tool for AI governance – EU and its member states
Speaker: Stefan Larsson (Lund University)
Organised by: Chalmers University of Technology
Register here.

Women in robotics panel discussion
Speaker: Carlotta Barry, Katie Driggs-Campbell, Cecilia Laschi, Iolanda Leite and Karinne Ramirez-Amaro
Organised by: IEEE RAS
Register here.

2 December 2020

Title to be confirmed
Speaker: Yulia Gel (UT Dallas)
Organised by: New York University

3 December 2020

Intelligibility throughout the machine learning life cycle
Speaker: Jenn Wortman Vaughan (Microsoft Research)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up.

Reconstructing quantum states with generative models
Speaker: Roger Melko (University of Waterloo)
Organised by: University of Oxford
To receive the Zoom room link, send an empty email to: request.zoom.ox.ml.and.physics [AT] gmail [DOT] com

4 December 2020

Kernel-based approaches to linear system identification
Speaker: Gianluigi Pillonetto (Padova University)
Organised by: Norwegian University of Science and Technology
To attend, register via this link.

Title to be confirmed
Speaker: Ashish Vaswani
Organised by: Harvard ML Theory
Join the mailing list for information about how to sign up.

8 December 2020

Title to be confirmed
Speaker: Matthew Hirn (Michigan State University)
Organised by: University of Minnesota

Let’s argue – understanding and generating natural language arguments
Speaker: Iryna Gureyvch (TU Darmstadt)
Organised by: University of Manchester
Subscribe to the University of Manchester for information on how to join.

Title to be confirmed
Speaker: Matthias Niessner (Technical University of Munich)
Organised by: Carnegie Mellon University
Sign up to the CMU mailing list to find out how to join the seminar.

9 December 2020

Title to be confirmed
Speaker: Gemma Roig (Goethe University Frankfurt and MIT)
Organised by: New York University

14 December 2020

Workshop on mathematical machine learning and application
This is a three day workshop (14-16 December)
Speaker: Multiple speakers
Organised by: PennState
Sign up here.

15 December 2020

Title to be confirmed
Speaker: Barak Sober (Duke University)
Organised by: University of Minnesota

Title to be confirmed
Speaker: Michael Arcaro (University of Pennsylvania)
Organised by: Carnegie Mellon University
Sign up to the CMU mailing list to find out how to join the seminar.

A conversation on AI governance and AI risk
Speaker: Seán Ó hÉigeartaigh (University of Cambridge) and Olle Häggström (Chalmers University of Technology)
Organised by: Chalmers University of Technology
Register here.

Towards fair, transparent and accountable AI in Europe
Speaker: Sandra Wachter (University of Oxford)
Organised by: Tilburg University

17 December 2020

Title to be confirmed
Speaker: Pin-Yu Chen (IBM Research)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up.

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November 2020

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.

5 November 2020

Can deep learning discover the functional form of PDEs from data?
Speaker: Justin Sirignano (University of Oxford)
Organised by: University of Oxford
To receive the Zoom room link, send an empty email to: request.zoom.ox.ml.and.physics [AT] gmail [DOT] com

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 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
Sign up to watch here.

Many-body quantum wave functions in the era of machine learning
Speaker: Giuseppe Carleo (EPFL)
Organised by: University of Oxford
To receive the Zoom room link, send an empty email to: request.zoom.ox.ml.and.physics [AT] gmail [DOT] com

Mathematics of deep learning
Speaker: René Vidal (Johns Hopkins University)
Organised by: C3.ai DTI
To attend register via this Zoom link.

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
Join the mailing list for instructions on how to sign up.

13 November 2020

Privacy and Artificial Intelligence: a regulatory sandbox – dialogue meeting
Speaker: Kari Laumann
Organised by: Norwegian University of Science and Technology
To attend, register via this link.

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

Metamaterials design and manufacturing: perspectives from biology and artificial intelligence
Speaker: Grace X Gu (University of California, Berkeley)
Organised by: Princeton University

16 November 2020

Deep Gaussian Markov random fields
Speaker: Fredrik Lindsten (Linköping University)
Organised by: Chalmers University of Technology
The Zoom link is here. Passcode: 336844

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

Ethics in AI Panel
Speakers: Negar Rostamzadeh (Google Brain Ethical AI Team), Falaah Arif Khan (Artist-in-Residence at MAIEI), Golnoosh Farnadi (postdoctoral IVADO fellow)
Organised by: McGill AI Society
Sign up (via Zoom) here.

Differential equations and deep learning
Speaker: Markus Heinonen (Aalto University)
Organised by: University of Manchester
Subscribe to the University of Manchester for information on how to join.

What fiction can teach us about AI ethics
Speaker: Kathryn Strong Hansen​ (Linköping University)
Organised by: Chalmers University of Technology
Sign up here.

18 November 2020

Governance of and by digital technology conference
Speaker: Multiple speakers
Organised by: EPFL
Register 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
To receive the Zoom room link, send an empty email to: request.zoom.ox.ml.and.physics [AT] gmail [DOT] com

Mining diagnostics sequences for SARS-CoV-2 using variation-aware, graph-based machine learning approaches applied to SARS-CoV-1, SARS-CoV-2, and MERS datasets
Speaker: Nancy Amato (University of Illinois at Urbana-Champaign)
Organised by: C3.ai DTI
To attend register via this Zoom link.

Title to be confirmed
Speaker: Ayanna Howard (Georgia Tech)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up.

20 November 2020

From research to automated decision tools – a legal road crossing
Speaker: Mathias Hauglid (University of Tromsø)
Organised by: Norwegian University of Science and Technology
To attend, register via this link.

Representation and learning in graph neural networks
Speaker: Stefanie Jegelka (MIT)
Organised by: University of Texas at Austin
Access the event via this Zoom link.

Learning from vision and touch for robotic grasping and manipulation
Speaker: Yasemin Bekiroglu (Chalmers University of Technology)
Organised by: Chalmers University of Technology
Register 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.

24 November 2020

Title to be confirmed
Speaker: Gal Mishne (University of California, San Diego)
Organised by: University of Minnesota

Title to be confirmed
Speaker: Charles Blundell (DeepMind)
Organised by: Carnegie Mellon University
Sign up to the CMU mailing list to find out how to join the seminar.

26 November 2020

Provably exact sampling for first-principles theoretical physics
Speaker: Phiala Shanahan (MIT)
Organised by: University of Oxford
To receive the Zoom room link, send an empty email to: request.zoom.ox.ml.and.physics [AT] gmail [DOT] com

Cooperation in networks of learning agents
Speaker: Nicolò Cesa-Bianchi (University of Milan)
Organised by: Chalmers University of Technology
Register here.

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October 2020

1 October 2020

From research to applications – Examples of operational ensemble post-processing using machine learning
Speaker: Maxime Taillardat (Météo-France)
Organised by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Watch the seminar here.

Improving fairness & equity in policy applications of machine learning
Speaker: Rayid Ghani (Carnegie Mellon University)
Organised by: C3.ai DTI
Watch the seminar here.

2 October 2020

Use of AI in fighting crime in social media & Artificial intelligence and robotics: avoiding unintended consequences (two talks)
Speaker: Ogerta Elazaj (University of Tirana) and Mohamed Abomhara (Norwegian University of Science and Technology)
Organised by: Norwegian University of Science and Technology
You can watch the seminar here.

Optimization algorithms for heterogeneous clients in Federated Learning
Speaker: Satyen Kale (Google Research)
Organised by: University of Texas at Austin
Watch the seminar here.

Enabling interactive, on-demand HPC for rapid prototyping and ML
Speaker: Albert Reuther (MIT)
Organised by: National Energy Research Scientific Computing Center (NERSC)
Watch the seminar here.

5 October 2020

Deep Learnability
Speaker: Shai Shalev-Shwartz
Organised by: Harvard ML Theory
Watch the seminar here.

6 October 2020

Large-scale semi-supervised learning via graph structure learning over high-dense points
Speaker: Li Wang (University of Texas at Arlington)
Organised by: University of Minnesota
Watch the seminar here.

Deploying machine learning: intellectual debt and autoAI
Speaker: Neil Lawrence (University of Cambridge, Alan Turing Institute)
Organised by: University of Manchester
Watch the seminar here.

Transforming frenemies to collaborators: automated and peer feedback
Speaker: Christian Schunn (University of Pittsburgh)
Organised by: Carnegie Mellon University
Watch the seminar here.

8 October 2020

Solving “prediction problems” in health, from heart attacks to COVID-19
Speaker: Ziad Obermeyer (University of California, Berkeley)
Organised by: C3.ai DTI
Watch the seminar here.

9 October 2020

Machine learning for complex data analysis in eScience applications
Speaker: Ricardo da Silva Torres (Norwegian University of Science and Technology)
Organised by: Norwegian University of Science and Technology
Watch the seminar here.

Large learning rates and the catapult effect
Speaker: Guy Gur-Ari
Organised by: Harvard ML Theory
Watch the seminar here.

12 October 2020

From Combination puzzles to the natural sciences
Speaker: Forest Agostinelli (University of South Carolina)
Organised by: University of California, Irvine
Watch the seminar here.

13 October 2020

Learning from others, helping others learn: cognitive foundations of distinctively human social learning
Speaker: Hyowon Gweon (Stanford University)
Organised by: Carnegie Mellon University
Watch the seminar here.

15 October 2020

Doing more with less: deep Learning for physics at the Large Hadron Collider
Speaker: Maurizio Pierini (CERN)
Organised by: University of Oxford
Watch the seminar here.

COVIDScholar: applying natural language processing at scale to accelerate COVID-19 research
Speakers: Gerbrand Ceder (University of California, Berkeley) and Amalie Trewartha (Lawrence Berkeley National Laboratory)
Organised by: C3.ai DTI
Watch the seminar here.

16 October 2020

The role of regularization in overparameterized neural networks
Speaker: Rayadurgam Srikant (University of Illinois at Urbana-Champaign)
Organised by: University of Texas at Austin
Watch the seminar here.

19 October 2020

Compressing variational Bayes
Speaker: Stephan Mandt (University of California, Irvine)
Organised by: University of California, Irvine
Watch the seminar here.

20 October 2020

Generalization and representational limits of graph neural networks
Speaker: Vikas Garg (Aalto University)
Organised by: University of Manchester
Watch the seminar here.

22 October 2020

Deep learning for symbolic mathematics
Speaker: Guillaume Lample (Facebook)
Organised by: University of Oxford
Watch the seminar here.

Machine learning-based design of proteins, small molecules, and beyond
Speaker: Jennifer Listgarten (University of California, Berkeley)
Organised by: C3.ai DTI
Watch the seminar here.

Ensuring lawfulness, fairness, and transparency in AI systems webinar
Speakers: Carl Wiper, Abigail Hackston, Alister Pearson, Ahmed Razek, Reuben Binns
Organised by: Information Commissioner’s Office (ICO)
Watch the seminar here.

23 October 2020

AI and data ethics
Speaker: Leonora Bergsjø, May Thorseth, Pinar Øzturk and Heri Ramampiaro
Organised by: Norwegian University of Science and Technology
Watch the seminar here.

Computational complexity of learning neural networks over Gaussian marginals
Speaker: Surbhi Goel
Organised by: Harvard ML Theory
Watch the seminar here.

Finite sample convergence bounds of off-policy reinforcement learning algorithms
Speaker: Siva Theja Maguluri (Georgia Tech)
Organised by: University of Texas at Austin
Watch the seminar here.

26 October 2020

GWAS of images using deep transfer learning
Speaker: Christoph Lippert (University of Potsdam)
Organised by: University of California, Irvine
Watch the seminar here.

27 October 2020

Causal Networks as a framework for climate science to improve process understanding
Speaker: Marlene Kretschmer (University of Reading, UK)
Organised by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Watch the seminar here.

Clustering high-dimensional data with path metrics: a balance of density and geometry
Speaker: Anna Little (Michigan State University)
Organised by: University of Minnesota
Watch the seminar here.

29 October 2020

Surprises in the quest for robust machine learning
Speaker: Percy Liang (Stanford University)
Organised by: Trustworthy ML
Watch the seminar here.

AI for physics & physics for AI
Speaker: Max Tegmark (MIT)
Organised by: University of Oxford
Watch the seminar here.

Reliable predictions? Counterfactual predictions? Equitable treatment? Some recent progress in predictive inference
Speaker: Emmanuel Candès (Stanford University)
Organised by: C3.ai DTI
Watch the seminar here.

30 October 2020

Toward effective network traffic classification via deep learning
Speaker: Domenico Ciuonzo (University of Napoli)
Organised by: Norwegian University of Science and Technology
Watch the seminar here.

Secure frameworks for outsourced neural network inference
Speaker: Zahra Ghodsi (New York University)
Organised by: University of Texas at Austin
Watch the seminar here.

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September 2020

1 September 2020

Computer vision: who is harmed and who benefits?
Speaker: Timnit Gebru (Google)
Organised by: Carnegie Mellon University
Watch the seminar here.

8 September 2020

Building trustworthy AI for environmental science
Speaker: Amy McGovern (University of Oklahoma)
Organised by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Watch the seminar here.

Does deep learning solve the phase retrieval problem?
Speaker: Ju Sun (University of Minnesota)
Organised by: University of Minnesota
Watch the seminar here.

9 September 2020

Tensor methods: dynamic topic modelling and modewise dimension reduction
Speaker: Liza Rebrova (UCLA)
Organised by: New York University
Watch the seminar here.

11 September 2020

Two facets of learning robust models: fundamental limits and generalization to natural out-of-distribution inputs
Speaker: Hamed Hassani (University of Pennsylvania)
Organised by: University of Texas at Austin
Watch the seminar here.

14 September 2020

The collective intelligence of army ants, and the robots they inspire
Speaker: Radhika Nagpal (Harvard University)
Organised by: EPFL
Watch the seminar here.

15 September 2020

Overarching states of mind
Speaker: Moshe Barr (Bar-Ilan University)
Organised by: Carnegie Mellon University
Watch the seminar here.

16 September 2020

Data centric robot learning
Speaker: Lerrel Pinto (New York University)
Organised by: New York University
Watch the seminar here.

17 September 2020

Towards learning convolutions from scratch
Speaker: Behnam Neyshabur
Organised by: Harvard ML Theory
Watch the seminar here.

18 September 2020

On the convergence of gradient descent for wide two-layer neural networks
Speaker: Francis Bach (Inria-ENS)
Organised by: University of Texas at Austin
Watch the seminar here.

22 September 2020

Efficient robot skill learning: grounded simulation learning and imitation learning from observation
Speaker: Peter Stone (University of Texas at Austin)
Organised by: West Virginia University
Watch the seminar here.

AI Accountability and Governance webinar
Speakers: Carl Wiper, Abigail Hackston, Alister Pearson
Organised by: Information Commissioner’s Office (ICO)
Watch here.

Bridging the gap between artificial and human intelligence: feedback and compositionality
Speaker: Anima Anandkumar (Caltech)
Organised by: Carnegie Mellon University
Watch the seminar here.

23 September 2020

New perspectives on cross-validation
Speaker: Wenda Zhou (New York University)
Organised by: New York University
Watch the seminar here.

24 September 2020

Towards AI for healthcare with applications to the COVID-19 pandemic
Speaker: Sanmi Koyejo (University of Illinois at Urbana-Champaign)
Organised by: C3.ai DTI
Watch the seminar here.

25 September 2020

On Heterogeneity in federated settings
Speaker: Virginia Smith (Carnegie Mellon University)
Organised by: University of Texas at Austin
Watch the seminar here.

29 September 2020

Multi-perspective, simultaneous embedding and theoretically guaranteed projected power method for the multi-way matching problem
Speaker: Vahan Huroyan (University of Arizona)
Organised by: University of Minnesota
Watch the seminar here.

Deep generative models for avatars and landscapes
Speaker: Victor Lempitsky (Samsung)
Organised by: Carnegie Mellon University
Watch the seminar here.

30 September 2020

Foundations of deep convolutional models through kernel methods
Speaker: Alberto Bietti (New York University)
Organised by: New York University
Watch the seminar here.

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August 2020

5 August 2020

Analyzing optimization and generalization in deep learning via dynamics of gradient descent
Speaker: Nadav Cohen
Organised by: Harvard ML Theory
Watch the seminar here.

13 August 2020

Insights from deep representations for machine learning systems and human collaborations
Speaker: Maithra Raghu (Google AI)
Organised by: Harvard ML Theory
Watch the seminar here.

27 August 2020

What is being transferred in transfer learning?
Speaker: Hanie Sedghi
Organised by: Harvard ML Theory
Watch the seminar here.

Targeted dynamic interventions in networked epidemic models
Speaker: Asuman Ozdaglar (MIT) and Francesca Parise (Cornell University)
Organised by: C3.ai DTI
Watch the seminar here.

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July 2020

9 July 2020

Deep generative models and inverse problems
Speaker: Alex Dimakis (University of Texas at Austin)
Organised by: Harvard ML Theory
Watch the seminar here.

Translating AI research in breast cancer imaging to COVID-19
Speaker: Maryellen Giger (University of Chicago)
Organised by: C3.ai DTI
Watch the seminar here.

14 July 2020

AI, a change in science/technology or culture?
Speaker: Alberto Arribas (Met Office)
Organised by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Watch the seminar here.

16 July 2020

Using AI techniques for detection and containment of COVID-19 and emerging diseases
Speaker: Alberto Sangiovanni-Vincentelli (University of California, Berkeley)
Organised by: C3.ai DTI
Watch the seminar here.

28 July 2020

Spatiotemporal complexity and time-dependent networks in mid- to late Holocene simulations
Speaker: Annalisa Bracco (Georgia Institute of Technology)
Organised by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Watch the seminar here.

30 July 2020

Efficient robot skill learning via grounded simulation learning, imitation learning from observation, and off-policy reinforcement learning
Speaker: Peter Stone (University of Texas at Austin)
Organised by: Institute of Advanced Study (ISA)
Watch the seminar here.

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June 2020

4 June 2020

Machine learning for weather predictions
Speaker: Peter Dueben (European Centre for Medium-Range Weather Forecasts)
Organised by: University of Oxford
Watch the seminar here.

11 June 2020

Cognitive simulation: combining simulation and experiment with artificial intelligence
Speaker: Brian Spears (Lawrence Livermore National Laboratory)
Organised by: University of Oxford
Watch the seminar here.

19 June 2020

What can deep learning help in addressing astrophysical challenges?
Speaker: Shirley Ho (Flatiron Institute, Princeton University, Carnegie Mellon University)
Organised by: University of Oxford
Watch the seminar here.

23 June 2020

Computational science for COVID-19 pandemic planning and response
Speaker: Madhav Marathe (University of Virginia)
Organised by: University of Minnesota
Watch the seminar here.

30 June 2020

Data science and historical texts: modelling meaning change from Ancient Greek to web archives
Speaker: Barbara McGillivray (University of Cambridge & The Alan Turing Institute)
Organised by: University of Manchester
Watch the seminar here.

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