Media Summary: TITLE: ComPO: Preference Alignment via Comparison Oracles SPEAKER: Tianyi Lin (Columbia University) ABSTRACT: Direct ... TITLE: Autopilots Need Parachutes—Reliability Lessons from LLM-Automated Embedded AI Systems SPEAKER: Roberto ... TITLE: Neuromorphic LLMs SPEAKER: Jason Eshraghian (UC Santa Cruz) ABSTRACT: This talk will show you what ...

Tilos Seminar Engineering Interpretable And - Detailed Analysis & Overview

TITLE: ComPO: Preference Alignment via Comparison Oracles SPEAKER: Tianyi Lin (Columbia University) ABSTRACT: Direct ... TITLE: Autopilots Need Parachutes—Reliability Lessons from LLM-Automated Embedded AI Systems SPEAKER: Roberto ... TITLE: Neuromorphic LLMs SPEAKER: Jason Eshraghian (UC Santa Cruz) ABSTRACT: This talk will show you what ... TITLE: How Transformers Learn Causal Structure with Gradient Descent SPEAKER: Jason Lee, Princeton University ABSTRACT: ... TITLE: Foundational Methods for Foundation Models for Scientific Machine Learning SPEAKER: Michael W. Mahoney, ICSI, LBNL ... TITLE: Machine learning for discrete optimization: Theoretical foundations SPEAKER: Ellen Vitercik (Stanford University) ...

TITLE: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation SPEAKER: Andrej Risteski (Carnegie ... TITLE: Certifiably Correct Machine Perception SPEAKER: David Rosen (Northeastern University) ABSTRACT: Many fundamental ... TITLE: How to use Machine Learning for Combinatorial Optimization SPEAKER: Sherief Reda, Professor, Brown University and ... TITLE: 95 Percent: Bridging the Gap Between Prototype and Product SPEAKER: Jeremy Schwartz (Zoox) ABSTRACT: When ... TITLE: Amplifying human performance in combinatorial competitive programming SPEAKER: Petar Veličković, Google DeepMind ...

Photo Gallery

TILOS Seminar: Engineering Interpretable and Faithful AI Systems
TILOS Seminar: ComPO: Preference Alignment via Comparison Oracles
TILOS Seminar: Autopilots Need Parachutes—Reliability Lessons from LLM-Automated Embedded AI Systems
TILOS Seminar: Neuromorphic LLMs
TILOS Seminar: How Transformers Learn Causal Structure with Gradient Descent
TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning
TILOS Seminar: Machine learning for discrete optimization: Theoretical foundations
TILOS Seminar: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation
TILOS Seminar: Engineering the Future of Software with AI (2023-02-15)
TILOS Seminar: Certifiably Correct Machine Perception
TILOS Seminar: How to use Machine Learning for Combinatorial Optimization (2022-07-20)
TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product
View Detailed Profile
TILOS Seminar: Engineering Interpretable and Faithful AI Systems

TILOS Seminar: Engineering Interpretable and Faithful AI Systems

TITLE:

TILOS Seminar: ComPO: Preference Alignment via Comparison Oracles

TILOS Seminar: ComPO: Preference Alignment via Comparison Oracles

TITLE: ComPO: Preference Alignment via Comparison Oracles SPEAKER: Tianyi Lin (Columbia University) ABSTRACT: Direct ...

TILOS Seminar: Autopilots Need Parachutes—Reliability Lessons from LLM-Automated Embedded AI Systems

TILOS Seminar: Autopilots Need Parachutes—Reliability Lessons from LLM-Automated Embedded AI Systems

TITLE: Autopilots Need Parachutes—Reliability Lessons from LLM-Automated Embedded AI Systems SPEAKER: Roberto ...

TILOS Seminar: Neuromorphic LLMs

TILOS Seminar: Neuromorphic LLMs

TITLE: Neuromorphic LLMs SPEAKER: Jason Eshraghian (UC Santa Cruz) ABSTRACT: This talk will show you what ...

TILOS Seminar: How Transformers Learn Causal Structure with Gradient Descent

TILOS Seminar: How Transformers Learn Causal Structure with Gradient Descent

TITLE: How Transformers Learn Causal Structure with Gradient Descent SPEAKER: Jason Lee, Princeton University ABSTRACT: ...

TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning

TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning

TITLE: Foundational Methods for Foundation Models for Scientific Machine Learning SPEAKER: Michael W. Mahoney, ICSI, LBNL ...

TILOS Seminar: Machine learning for discrete optimization: Theoretical foundations

TILOS Seminar: Machine learning for discrete optimization: Theoretical foundations

TITLE: Machine learning for discrete optimization: Theoretical foundations SPEAKER: Ellen Vitercik (Stanford University) ...

TILOS Seminar: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation

TILOS Seminar: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation

TITLE: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation SPEAKER: Andrej Risteski (Carnegie ...

TILOS Seminar: Engineering the Future of Software with AI (2023-02-15)

TILOS Seminar: Engineering the Future of Software with AI (2023-02-15)

TITLE:

TILOS Seminar: Certifiably Correct Machine Perception

TILOS Seminar: Certifiably Correct Machine Perception

TITLE: Certifiably Correct Machine Perception SPEAKER: David Rosen (Northeastern University) ABSTRACT: Many fundamental ...

TILOS Seminar: How to use Machine Learning for Combinatorial Optimization (2022-07-20)

TILOS Seminar: How to use Machine Learning for Combinatorial Optimization (2022-07-20)

TITLE: How to use Machine Learning for Combinatorial Optimization SPEAKER: Sherief Reda, Professor, Brown University and ...

TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product

TILOS Seminar: 95 Percent: Bridging the Gap Between Prototype and Product

TITLE: 95 Percent: Bridging the Gap Between Prototype and Product SPEAKER: Jeremy Schwartz (Zoox) ABSTRACT: When ...

TILOS Seminar: Amplifying human performance in combinatorial competitive programming

TILOS Seminar: Amplifying human performance in combinatorial competitive programming

TITLE: Amplifying human performance in combinatorial competitive programming SPEAKER: Petar Veličković, Google DeepMind ...