DSAI seminars

DSAI seminars

The DSAI seminars put a spotlight on the research performed at the DSAI division at Chalmers. In our open weekly seminars, researchers at the DSAI division talk about their research or invite fellow research colleagues to share their work. 

When: Our seminars are held every Monday at 2 pm and you are welcome to join us! 
Where: We usually meet up in Analysen or you can join us via this zoom-link​, password mondays23​
OrganizersLovisa Hagström and Lena Stempfle . Feel free to reach out to the organizers if you have any questions or ideas related to the seminars.


Data-centric AI

When: 12 December, 14:00 
Where: Analysen

Speaker: Selpi Selpi

Selpi is a researcher at the Data Science and AI division, Computer Science and Engineering department, at Chalmers.
Link to calendar post​

Min-norm interpolation and boosting: a precise high-dimensional asymptotic theory

When: 7 December,14:00
Where: Analysen
Speaker: Pragya Sur
Pragya Sur is an Assistant Professor in the Statistics Department at Harvard University and she is visiting Chalmers.

Future talks (title TBD)

Christmas break (no sessions) 2022-12-19 until 2022-01-09
Ashkan Panahi and Firooz Shahriari Mehr 2023-01-16
Anton Matsson and Adam Breitholtz 2023-02-13
Milad Malekipirbazari 2023-01-23
Wouter Boomsma (DIKU) 2023-01-30
Mohammad Kakooei 2023-02-06
Søren Hauberg (DTU) 2023-02-20
Jes Frellsen (DTU) 2023-02-27
Alexander Gower​ 2023-03-06
Newton Mwai 2023-03-13

Past talks

A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff

When: 17 October 14.00 
Speaker: Xiao-Li Meng
Xiao-Li Meng is the Whipple V. N. Jones Professor of Statistics in the Faculty of Arts & Sciences at Harvard University.

Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits

When: 19 October 13.15-14.00
Speaker: Dr. Nutan Limaye​
Nutan Limaye is from the IT University Copenhagen and a GENIE visiting faculty at Chalmers over the next year.

Bandits for Decision Making and Active Learning

When: 24 October 14.00
Speaker: Morteza Haghir Chehreghani
Morteza Haghir Chehreghani is an associate professor in machine learning and artificial intelligence

The strengths and limitations of short depth quantum computation

When: 7 November, 14:00 
Speaker: Alexandru Gheorghiu
Alexandru (Andru) Gheorghiu is an Assistant Professor in the Department of Computer Science and Engineering at Chalmers

Who Leads and Who Follows? Finding the Structure of Motions in the Swedish Riksdag 1971--2015

When: 21 November , 14:00
Speaker: Bastiaan Bruinsma

FsaNet: Frequency Self-attention for Semantic Segmentation
When: 28 November  
Speaker: Fengyu Zhang
Visiting PHD student with Computer Science Department, Chalmers University

Reliable quantum kernel classification using fewer circuit evaluations 

When: 5 December, 2022 
Where: Analysen
Speaker: Chiranjib Bhattacharyya
Professor and the chair of the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore, India

Page manager Published: Mon 05 Dec 2022.