IDEAL Special Quarter (Theory of Deep Learning)

September 21 – December 12, 2020
Online (https://www.ideal.northwestern.edu/special-quarters/fall-2020/) https://www.ideal.northwestern.edu/special-quarters/fall-2020/registration

There will be a Special Quarter on Theory of Deep Learning this Fall as a part of IDEAL – The Institute for Data, Econometrics, Algorithms, and Learning, runs jointly with TTIC and the University of Chicago.

The Special Quarter will be entirely online, and take place inside a virtual space on the gather.town platform. All talks, discussions, meetings and other interactions will be inside this virtual space. To register for the special quarter, please complete the registration form below.

2020 Virtual Telluride Neuromorphic Cognition Engineering Workshop

July 27-31, 2020
Telluride CO (virtual)
https://sites.google.com/view/telluride2020/home

We are happy to announce a Virtual Telluride Neuromorphic Cognition Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this year in replacement of our usual Workshop in Telluride. The workshop will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to 19:00 CET).

The format will be a week of lectures and tutorials on current topics in neuromorphic engineering (two hours per day) followed by four hands-on, collaborative challenges which will be carried out in the month of August. The results of the challenges will be presented on September 10 and 11, 2020.

The workshop is free to attend and is open to everyone upon registration.

International Conference on Neuromorphic Systems

July 28-30, 2020
Oak Ridge National Laboratory (virtual)
https://icons.ornl.gov

ICONS 2020 will be held as a virtual conference. The goal of this conference is to bring together leading researchers in neuromorphic computing to present new research, develop new collaborations, and provide a forum to publish work in this area. Our focus will be on architectures, models, and applications of neuromorphic systems.

Neuromorphic Computing: Opportunities, Challenges, and Perspectives

July 19, 2020
Virtual
https://teuscher-lab.com/dac2020_neuromorphic_workshop/program/

The objective of this workshop is to bring together researchers from multiple disciplines, ranging from physical to biological sciences, to discuss the most promising approaches and overarching goals of neuromorphic computing technologies and paradigms that have the potential to drastically improve conventional approaches. The neuromorphic computing workshop aims to establish a forum to discuss current practices; future research needs; and new principles and tradeoffs across the entire neuromorphic information processing stack with the goal to apply them holistically to future machine learning systems.

IDEAL Workshop on Computational vs Statistical Tradeoffs in Network Inference

June 29, 2020
Virtual
https://www.ideal.northwestern.edu/events/workshop-computational-vs-statistical-tradeoffs-in-network-inference/

Network models have been used as a tool to understand the role of interconnections between entities in multiple research areas like sociology, biology, meteorology, economics, and computer science. Moreover emerging technological developments allow collecting data on increasingly larger networks. This leads to both computational and statistical challenges when inferring or learning the structure of such networks. This workshop will cover some of the advances in the last decade on understanding trade-offs between statistical and computational efficiency for many inference problems on large networks. The workshop speakers are Andrea Montanari, Ankur Moitra, and Liza Levina. There will be short talks from 11am-3:15pm CT and a panel discussion 3:25-4pm CT. Participants can register to join on Zoom (see link for details), or watch the live stream.

Logic Mentoring Workshop 2020

July 6, 2020
Online
http://lmw.mpi-sws.org/index.html

The Logic Mentoring Workshop (LMW) will introduce young
researchers to the technical and practical aspects of a career in logic research. It is targeted at students, from senior undergraduates to graduates, and will include talks and a panel session from leaders in the subject.

SIAM Symposium on Simplicity in Algorithms

January 11-12, 2021
Westin Alexandria Old Town, Alexandria, Virginia, U.S.
https://www.siam.org/conferences/cm/conference/sosa21

Submission deadline: August 12, 2020
Registration deadline: December 7, 2020

Symposium on Simplicity in Algorithms is a conference in theoretical computer science dedicated to advancing algorithms research by promoting simplicity and elegance in the design and analysis of algorithms. The benefits of simplicity are manifold: simpler algorithms manifest a better understanding of the problem at hand; they are more likely to be implemented and trusted by practitioners; they can serve as benchmarks, as an initialization step, or as the basis for a ‚Äústate of the art” algorithm; they are more easily taught and are more likely to be included in algorithms textbooks; and they attract a broader set of researchers to difficult algorithmic problems.

IDEAL Workshop on Estimation of Network Processes and Information Diffusion

May 14, 2020
Virtual
https://www.ideal.northwestern.edu/events/estimation-of-network-processes-and-information-diffusion/?fbclid=IwAR3HRiqCz8zTQfHt46hF-VF9PHE2F1v4uvQ6V_ggxmzKqFvromZXhVOOygY

Many important dynamic processes are determined by an underlying network structure. Examples include the spread of epidemics, the dynamics of public opinions, the diffusion of information about social programs, and biological processes such as neural spike trains. Data about these processes is becoming increasingly available which has lead to a number of different research communities to tackle related questions independently. What is the source of a rumor? Will a given disease spread widely? Who is the key player? This workshop will cover some new tools being developed to address such questions. The workshop speakers are Devavrat Shah, Lori Beaman, Rebecca Willet, and Arun Chandrasekhar. There will be short talks from 11am-3pm Central and a panel discussion 4-5pm. Participants can register to join on Zoom (see link for details), or stream the video on Panopto.

Workshop on Local Algorithms

July 20-21, 2020
Virtual (8am — 12pm Pacific Time)
https://www.mit.edu/~mahabadi/workshops/WOLA-2020.html

Submission deadline: May 15, 2020
Registration deadline: June 30, 2020

Due to the current situation with COVID-19, we have decided to hold a virtual and shorter version of WOLA this year. WOLA 2020 will run for two days between 8am – 12pm PT to maximize the attendance. This year, we will only include spotlight talks and short (postdoc/student) talks. Hopefully next year we can go back to a more inclusive format.

* You are all invited and we would love to see you all. If you plan to attend, please register before June 30th.
* In addition, we will have short (5-10 minutes) talks for postdocs and graduate students. If you would like to give such a talk please submit your proposed title and abstract before May 15th.

Please refer to the website to find registration and short talk submission forms.

Workshop in Quantum Information, Complexity & Cryptography

June 11-12, 2020
University of York, UK
https://sites.google.com/york.ac.uk/quicc/quicc

We are organising a two-day event at the University of York in collaboration with York Interdisciplinary Centre for Cyber Security, which brings researchers in Quantum Information, Complexity and Cryptography together. The goal is to cover recent topics in these areas and facilitate interactions between them. The event is generously sponsored by the Heilbronn Institute for Mathematical Research and York CS department. We hope to have mathematicians, physicists and computer scientists alike at the event. We have about 20 travel bursaries to support the attendance of young and early-career researchers, and encourage under-represented groups to apply.