Media Summary: Giuseppe Carleo, Assistant Professor, Computational Quantum Science Laboratory, École Polytechnique Friday, March 4, 2022, ... Peter Lu, Assistant Professor, Tufts University Friday, October 10, 2025, 2:00pm–3:00pm, MIT Kolker Room (26-414) Scientific ... Akshunna Dogra, Incoming IAIFI Fellow, (PhD Student, Imperial College London)

Colloquium Machine Learning For Many - Detailed Analysis & Overview

Giuseppe Carleo, Assistant Professor, Computational Quantum Science Laboratory, École Polytechnique Friday, March 4, 2022, ... Peter Lu, Assistant Professor, Tufts University Friday, October 10, 2025, 2:00pm–3:00pm, MIT Kolker Room (26-414) Scientific ... Akshunna Dogra, Incoming IAIFI Fellow, (PhD Student, Imperial College London) Ben Wandelt, Director, Lagrange Institute Abstract: To realize the advances in cosmological knowledge we desire in the coming ... Yonatan Kahn, Assistant Professor, UIUC Friday, March 10, 2023, 2:00-3:00pm Dumb Thomas Harvey, Postdoctoral Fellow at IAIFI Friday, October 11, 2024, 2:00pm–3:00pm, MIT Cosman Room (6C-442) String ...

Yann LeCun, VP and Chief AI Scientist, Meta Friday, April 1, 2022, 2:00-3:00pm “A path towards human-level intelligence” Oriol Vinyals, VP of Research at Google DeepMind and co-lead of the Gemini program, joins Jacob the day after Google I/O to ... Speakers: - Fons van der Sommen, Eindhoven University of Technology - Andreas Heindl, Kheiron Medical Technologies ... Speaker: Dr. Josh Tenenbaum, Professor, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences.

Photo Gallery

COLLOQUIUM: Machine-Learning for Many-Body Quantum Physics (November 2020)
"Machine Learning from Weak, Noisy, and Biased Supervision" - Masashi Sugiyama, TTIC Colloquium
IAIFI Colloquium Series: Neural-Network Quantum States
Colloquium: Gabriel Carlo: Majorization-optimized quantum machine learning
Colloquium: Scientific Machine Learning for Modeling and Understanding Complex Physical Systems
Colloquium: Machine Learning applied to theoretical high-energy physics
IAIFI Colloquium: Many-Fold Learning
IAIFI Colloquium: Learning the Universe
IAIFI Colloquium Series - Dumb Machine Learning for Physics
Distinguished Colloquium: Kevin Murphy, May 1, 2023
Colloquium Sept 24, 2020 -- Machine Learning for the Physical Sciences
Boeing Colloquium: Infusing Structure into Machine Learning Algorithms
View Detailed Profile
COLLOQUIUM: Machine-Learning for Many-Body Quantum Physics (November 2020)

COLLOQUIUM: Machine-Learning for Many-Body Quantum Physics (November 2020)

CQT Online Talks – Series:

"Machine Learning from Weak, Noisy, and Biased Supervision" - Masashi Sugiyama, TTIC Colloquium

"Machine Learning from Weak, Noisy, and Biased Supervision" - Masashi Sugiyama, TTIC Colloquium

Machine Learning

IAIFI Colloquium Series: Neural-Network Quantum States

IAIFI Colloquium Series: Neural-Network Quantum States

Giuseppe Carleo, Assistant Professor, Computational Quantum Science Laboratory, École Polytechnique Friday, March 4, 2022, ...

Colloquium: Gabriel Carlo: Majorization-optimized quantum machine learning

Colloquium: Gabriel Carlo: Majorization-optimized quantum machine learning

Majorization-optimized quantum

Colloquium: Scientific Machine Learning for Modeling and Understanding Complex Physical Systems

Colloquium: Scientific Machine Learning for Modeling and Understanding Complex Physical Systems

Peter Lu, Assistant Professor, Tufts University Friday, October 10, 2025, 2:00pm–3:00pm, MIT Kolker Room (26-414) Scientific ...

Colloquium: Machine Learning applied to theoretical high-energy physics

Colloquium: Machine Learning applied to theoretical high-energy physics

IFT/ICTP-SAIFR

IAIFI Colloquium: Many-Fold Learning

IAIFI Colloquium: Many-Fold Learning

Akshunna Dogra, Incoming IAIFI Fellow, (PhD Student, Imperial College London)

IAIFI Colloquium: Learning the Universe

IAIFI Colloquium: Learning the Universe

Ben Wandelt, Director, Lagrange Institute Abstract: To realize the advances in cosmological knowledge we desire in the coming ...

IAIFI Colloquium Series - Dumb Machine Learning for Physics

IAIFI Colloquium Series - Dumb Machine Learning for Physics

Yonatan Kahn, Assistant Professor, UIUC Friday, March 10, 2023, 2:00-3:00pm Dumb

Distinguished Colloquium: Kevin Murphy, May 1, 2023

Distinguished Colloquium: Kevin Murphy, May 1, 2023

Title: The Four Pillars of

Colloquium Sept 24, 2020 -- Machine Learning for the Physical Sciences

Colloquium Sept 24, 2020 -- Machine Learning for the Physical Sciences

Kyle Cranmer New York University How

Boeing Colloquium: Infusing Structure into Machine Learning Algorithms

Boeing Colloquium: Infusing Structure into Machine Learning Algorithms

Boeing Distinguished

Boeing Colloquium: An Alternative View on AI: Collaborative Learning, Incentives, and Social Welfare

Boeing Colloquium: An Alternative View on AI: Collaborative Learning, Incentives, and Social Welfare

Boeing Distinguished

OSC Colloquium: George Barbastathis, "Darker, Smaller, Faster: Machine Learning Regularizers for.."

OSC Colloquium: George Barbastathis, "Darker, Smaller, Faster: Machine Learning Regularizers for.."

Title Darker, Smaller, Faster:

IAIFI Colloquium: Navigating the String Landscape with Machine Learning Techniques

IAIFI Colloquium: Navigating the String Landscape with Machine Learning Techniques

Thomas Harvey, Postdoctoral Fellow at IAIFI Friday, October 11, 2024, 2:00pm–3:00pm, MIT Cosman Room (6C-442) String ...

IAIFI Colloquium Series: A path towards human-level intelligence

IAIFI Colloquium Series: A path towards human-level intelligence

Yann LeCun, VP and Chief AI Scientist, Meta Friday, April 1, 2022, 2:00-3:00pm “A path towards human-level intelligence”

Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning

Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning

Oriol Vinyals, VP of Research at Google DeepMind and co-lead of the Gemini program, joins Jacob the day after Google I/O to ...

YSA Winter Colloquium - Machine Learning in Medical Science

YSA Winter Colloquium - Machine Learning in Medical Science

Speakers: - Fons van der Sommen, Eindhoven University of Technology - Andreas Heindl, Kheiron Medical Technologies ...

Artificial Intelligence Colloquium: Keynote

Artificial Intelligence Colloquium: Keynote

Speaker: Dr. Josh Tenenbaum, Professor, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences.