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Machine learning and AI seminars: a list of recent and forthcoming events
Here you can find a list of the AI-related seminars that are scheduled to take place between now and the end of November 2020. 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 15 October and 30 November.
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
To receive the Zoom room link, send an empty email to: request.zoom.ox.ml.and.physics [AT] gmail [DOT] com
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
To attend register via this Zoom link.
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
The seminar will take place via this Zoom link.
18 October 2020
Recommendation systems study & discussions: understanding iterative bias
Speaker: Sami Khenissi (University of Louisville)
Organised by: Tokyo Machine Learning
Sign up here.
19 October 2020
Machine learning from small data: understanding and designing complex material systems
Speaker: Newell Washburn (Carnegie Mellon University)
Organised by: Georgia Tech
Join via BlueJeans here.
22 October 2020
Deep learning for symbolic mathematics
Speaker: Guillaume Lample (Facebook)
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
Machine learning-based design of proteins, small molecules, and beyond
Speaker: Jennifer Listgarten (University of California, Berkeley)
Organised by: C3.ai DTI
To attend register via this Zoom link.
Ensuring lawfulness, fairness, and transparency in AI systems webinar
Speakers: To be confirmed
Organised by: Information Commissioner’s Office (ICO)
Sign up here.
23 October 2020
Computational complexity of learning neural networks over gaussian marginals
Speaker: Surbhi Goel
Organised by: Harvard ML Theory
Finite sample convergence bounds of off-policy reinforcement learning algorithms
Speaker: Siva Theja Maguluri (Georgia Tech)
Organised by: University of Texas at Austin
The seminar will take place via this Zoom link.
26 October 2020
Global governance of AI: more important than ever
Speaker: Kay Firth-Butterfield (World Economic Forum)
Organised by: EPFL
The seminar will take place via this Zoom link.
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)
You will need to complete a short registration form to attend.
Clustering high-dimensional data with path metrics: a balance of density and geometry
Speaker: Anna Little (Michigan State University)
Organised by: University of Minnesota
To attend register via this Zoom link.
29 October 2020
Surprises in the quest for robust machine learning
Speaker: Percy Liang (Stanford University)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up.
AI for physics & physics for AI
Speaker: Max Tegmark (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
Reliable predictions? Counterfactual predictions? Equitable treatment? Some recent progress in predictive inference
Speaker: Emmanuel Candès (Stanford University)
Organised by: C3.ai DTI
To attend register via this Zoom link.
30 October 2020
Title to be confirmed
Speaker: Balaji Lakshminarayanan
Organised by: Harvard ML Theory
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
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
Title to be confirmed
Speaker: Sanmi Koyejo
Organised by: Harvard ML Theory
Expert-augmented machine learning
Speaker: Gilmer Valdes (University of California, San Francisco)
Organised by: University of San Francisco
Sign up here.
10 November 2020
Natural graph wavelet packets
Speaker: Naoki Saito (University of California, Davis)
Organised by: University of Minnesota
Sign up here.
12 November 2020
Title to be confirmed
Speaker: Irene Chen (MIT)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up.
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.
13 November 2020
Title to be confirmed
Speaker: Lenka Zdeborova
Organised by: Harvard ML Theory
Title to be confirmed
Speaker: Maryam Fazel (University of Washington)
Organised by: University of Texas at Austin
17 November 2020
Title to be confirmed
Speaker: Alexander Cloninger (University of California, San Diego)
Organised by: University of Minnesota
19 November 2020
Title to be confirmed
Speaker: Ayanna Howard (Georgia Tech)
Organised by: Trustworthy ML
Join the mailing list for instructions on how to sign up.
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.
20 November 2020
Title to be confirmed
Speaker: Stefanie Jegelka (MIT)
Organised by: University of Texas at Austin
24 November 2020
Title to be confirmed
Speaker: Gal Mishne (University of California, San Diego)
Organised by: University of Minnesota
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
Past events
This list includes completed seminars that took place between 1 September and 9 October.
9 October 2020
Large learning rates and the catapult effect
Speaker: Guy Gur-Ari
Organised by: Harvard ML Theory
Watch the seminar here.
Reinforcement learning using generative models for continuous state and action space systems
Speaker: Rahul Jain (USC)
Organised by: University of Texas at Austin
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.
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.
5 October 2020
Deep Learnability
Speaker: Shai Shalev-Shwartz
Organised by: Harvard ML Theory
Watch the seminar here.
2 October 2020
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.
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.
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.
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.
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.
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.
23 September 2020
New perspectives on cross-validation
Speaker: Wenda Zhou (New York University)
Organised by: New York University
Watch the seminar here.
22 September 2020
AI accountability and governance
Speakers: Carl Wiper (ICO), Abigail Hackston (ICO) and Alastair Pearson (ICO)
Organised by: Information Commissioner’s Office (ICO)
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.
17 September 2020
Towards learning convolutions from scratch
Speaker: Behnam Neyshabur
Organised by: Harvard ML Theory
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.
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.
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.
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.
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.
If you are aware of any seminars we’ve missed then please drop us a line at aihuborg@gmail.com and we’ll add them to the list.
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