35:17

Re-Evaluating Open Source vs. Proprietary LLMs: Overlooked Challenges and Missed Opportunities

40:41

Sampling Diffusion Models in the Era of Generative AI

38:45

Large Language Models in Computational Biology – A Primer

48:15

Bridging Data and Physics for Visual Content Creation in the 3D World

44:28

Lifting 2D Image Models to 3D

43:31

TBD: Towards aBridging Diffusion-models

50:36

On Theoretical Foundations of Diffusion Models

41:50

Generative AI and Mental Health

47:04

All-in-One: Unifying Generative and Discriminative AI in the 4D Open World

44:33

Deep Fakes and Generated and Manipulated Media: It is Real and Coming for our Society!

46:05

Toward a Practical Theory of Deep Learning: Feature Learning in Infinitely Wide Networks

44:27

Replicating and Auditing Black-Box Language Models

46:30

Watch, Learn, Manipulate

52:26

Mitigating Harms of GenAI using Adversarial Tools

46:01

Panel Discussion - What Do The Successes of Generative AI Mean For AI In General?

02:11

Opening Remarks

39:58

What Do Image Generators “Know?”

36:17

Open Vocabulary Recognition with Large Text-to-Image Foundational Model

42:53

Algorithmic Systems in Education

58:06

Sewoong Oh: Do Meta-learning and Federated Learning Find Good Representations?

01:03:02

Richard Y. Zhang: Improved Adversarial Attacks and Certified Defenses via Nonconvex Relaxations

01:05:12

Gauri Joshi: Tackling Computational and Data Heterogeneity in Federated Learning

51:11

Matching in Dynamic Environments

50:21

Three Recent Algorithmic Works on Online and Matching-Based Market Design

53:13

The Role of Data in Power System Operations

57:55

Data, the Fundamental Particle of Economics

46:36

Learning Product Rankings Robust to Fake Users

53:35

Limits of an Information Intermediary in Auction Design

50:19

From Offline Greedy Algorithms to Online Learning: Theory and Applications

48:27

Measuring Under-Reporting and Differential Response in Resident Crowdsourcing

47:51

Protecting Data Markets from Strategic Buyers

52:27

Selling Information in Competitive Environments

41:37

Machine Learning and Strategic Agents: Dynamics and Algorithm Design

44:14

Competitive Online Markets with Externalities

48:53

Multi-Asset Exchanges: Axioms and Algorithms

49:41

Dynamic Spatial Matching

49:43

Optimal Disclosure of Information: Two-Sided Markets and Social Networks

54:30

Nicolas Carlini: Underspecified Foundation Models Considered Harmful

01:01:31

Pin-Yu Chen: AI Model Inspector: Towards Holistic Adversarial Robustness for Deep Learning

01:01:23

Rachel Cummings: Improving Communication for Differential Privacy: Insight from Human Behavior

59:24

Tom Goldstein: Adversarial Machine Learning from a Privacy Perspective

01:07:24

Eric Xing: Machine Learning at All Levels: A Pathway to “Autonomous” AI

59:23

Zico Kolter: New Approaches to Detecting and Adapting to Domain Shifts in Machine Learning

54:44

Brendan McMahan: Federated Learning with Formal User-level Differential Privacy Guarantees

59:42

Bo Li: Trustworthy Machine Learning: Robustness, Privacy, Generalization, and their Interconnections

01:03:59

Suvrit Sra: Two Surprises When Optimization Meets Machine Learning

58:11

Aditi Raghunathan: The Many Facets of Robust ML: From Mathematical Guarantees to Real-world Shifts

59:19

Chinmay Maheshwari: Learning in Structured Matching Markets

01:02:36

Nikhil Garg: Auditing and Designing for Equity in Resident Crowdsourcing

01:01:57

Ruta Mehta: Allocating Goods, Bads, and Mixed: Fairness and Efficiency through Competitiveness

17:52

Intelligent Agriculture Management for Soil Carbon Sequestration via Reinforcement Learning

15:59

The Tropical Storm King

18:56

Scoring Drugs: Small Molecule Drug Discovery for COVID-19 Using Physics-Inspired Machine Learning

34:04

Energy Industry and Energy Transition: The Role of Digital Innovation and AI

16:11

Role of a Medical Imaging Data Commons in the Development of AI of COVID-19

27:59

Detection and Containment of Emerging Diseases Using AI Techniques

01:00:49

Defending Forward: A Proactive Posture for Building U.S. Cyber Resiliency

21:09

Cyberattack and Anomaly Detection for Power Systems Using Machine Learning Techniques

17:38

Multiscale Analysis for Improved Risk Assessment of Wildfires Facilitated by Data and Computation

42:57

Panel Discussion: Digital Transformation and AI for Energy Security