TILOS Retreat & Industry Day 2023

TILOS is a National Science Foundation funded National Artificial Intelligence (AI) Research Institute

Date: July 17 & 18, 2023 (full agenda below)

Location:

Halıcıoğlu Data Science Building
3234 Matthews Lane
La Jolla, CA 92037
Google maps link

Meeting Room: Data Science Building Room 123

Contacts:

Parking:

Walking directions from Gilman Parking Structure (3100 Gilman Dr, La Jolla, CA 92093) to venue:

  • Head north on Russell Lane toward Rupertus Lane
  • Turn left onto Lyman Lane
  • Turn right toward Matthews Lane
  • Turn left at Halıcıoğlu Data Science Institute (3234 Matthews Lane, La Jolla, CA 92093)

Hourly Schedule

Monday, July 17: TILOS Retreat

08:00 – 09:00

Breakfast
09:00 – 09:10

Welcome Remarks

Speaker: Professor Andrew Kahng
09:10 – 09:50

TILOS Research Highlights Talks

  1. Amin Karbasi (Yale) – “Exact Gradient Computation for Spiking Neural Networks via Forward Propagation”
  2. Hamed Hassani (UPenn) – “Probable Domain Generalization”
09:50 – 10:00

Break
10:00 –

11:00

TILOS Research Highlights Talks

  1. Melvin Leok (UCSD): Geometric optimization methods applied to physics informed deep learning and semiconductor design
  2. Tajana Rosing (UCSD): Federated and secure learning at the edge
  3. Xiaolong Wang (UCSD): Generalizable Contact-Rich Robot Learning
11:00 –

11:30

Coffee Break
11:30 – 12:30

Education / Workforce Development / Diversity & Outreach

Moderator: Jodi Reeves (NU)

  1. Jodi Reeves (NU): Education and Workforce Development 
  2. Miriam Jacobson (UT-Austin): External Assessment Report & Discussion
  3. Saura Naderi (UCSD): Outreach and Diversity
  4. External Advisory Board: Discussion of Recommendations
12:30 – 14:00

Lunch
14:00 –

15:00

Invited Plenary Talk

Speaker: Joel Tropp (CalTech)
15:00 – 15:30

Break
15:30 –

16:10

Research Highlight Talks

  1. Alejandro Ribeiro (UPenn): Lagrangian Duality in Constrained Learning: Resilient, Active, and Continual Learning
  2. Andrew Kahng (UCSD): Hypergraph Partitioning for Chip Design
16:10 –

16:20

Short Break
15:20 –

17:00

Research Highlight Talks

  1. Suvrit Sra (MIT): Foundations of Geometric Sampling
  2. Yian Ma (UCSD): MCMC with extreme accuracy requirements: For differential privacy and sequential decision making
17:30 –

19:00

Reception/Dinner

 

Tuesday, July 18: Industry Day

08:00 –

08:45

Breakfast
08:45 –

09:00

Welcome Remarks and Overview of TILOS

Speaker: Professor Yusu Wang
09:00 –

10:00

TILOS Research Highlights Talks

  1. David Pan (UT Austin)
  2. Farinaz Koushanfar (UCSD): Decentralized and federated learning for networked teams and games
  3. Nikolay Atanasov (UCSD): Learning Distributed Multi-Robot Interactions
10:00 – 10:10

Break
10:10 – 10:50

TILOS Research Highlights Talks

  1. Stefanie Jegelka (MIT): Invariant neural networks for eigenvectors and learning on graphs
  2. Misha Belkin (UCSD): The challenges of training infinitely large neural networks
10:50 – 11:20

Coffee Break
11:20 –

12:30

Industry Invited Talks: Big Challenges and Needs

  1. Ramon Huerta (Amazon APB Senior Principal Scientist): Causal Machine Learning and the challenge of mitigating prediction confounders
  2. Kevin Murphy (Google Research): Prediction in the presence of distribution shift
12:30 – 14:00

Lunch
14:00 –

15:45

Industry Invited Talks: big challenges and needs

  1. Hesham Mostafa (Intel AI Lab): Scalable Training of Graph Neural Networks: Challenges and Applications
  2. Reza Rofougaran (CTO / CO-CEO & Founder of Movandi)
  3. Liam Pedersen (Chief Scientist at NISSAN): Smart Mobility Services on the Edge
16:00 – 16:30 Pre-poster session “lightning round”: TILOS Trainees (PhD students and postdocs)
16:30 –

18:30

Trainee Poster Session + Light Refreshments
17:00 –

19:00

Buffet Dinner

The event is finished.

Local Time

  • Timezone: America/New_York
  • Date: 17 - 18 Jul 2023
  • Time: All Day

Organizer

TILOS