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Timezone: America/Los_Angeles |
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SUN 10 DEC
7 a.m.
(ends 4:00 PM)
9 a.m.
Expo Demonstration:
(ends 3:00 PM)
Expo Demonstration:
(ends 3:00 PM)
Expo Demonstration:
(ends 3:00 PM)
Expo Demonstration:
(ends 3:00 PM)
Expo Demonstration:
(ends 3:00 PM)
Expo Demonstration:
(duration 1.5 hr)
Expo Demonstration:
(duration 1.5 hr)
Expo Demonstration:
(ends 3:00 PM)
10 a.m.
Expo Talk Panel:
(ends 10:50 AM)
Expo Talk Panel:
(ends 10:50 AM)
10:30 a.m.
Expo Demonstration:
(duration 1.5 hr)
Expo Demonstration:
(duration 1.5 hr)
11 a.m.
Expo Talk Panel:
(ends 11:50 AM)
Expo Talk Panel:
(ends 11:50 AM)
noon
Expo Demonstration:
(duration 1.5 hr)
Expo Demonstration:
(duration 1.5 hr)
Expo Talk Panel:
(ends 12:50 PM)
1 p.m.
1:30 p.m.
Expo Demonstration:
(duration 1.5 hr)
Expo Demonstration:
(duration 1.5 hr)
2 p.m.
Expo Talk Panel:
(ends 2:50 PM)
Expo Workshop:
(ends 4:00 PM)
Expo Workshop:
(ends 4:00 PM)
Expo Workshop:
(ends 4:00 PM)
2:30 p.m.
3 p.m.
Expo Talk Panel:
(ends 3:50 PM)
Expo Talk Panel:
(ends 3:50 PM)
4 p.m.
MON 11 DEC
5:30 a.m.
(ends 4:00 PM)
6 a.m.
6:15 a.m.
7 a.m.
7:15 a.m.
7:30 a.m.
7:45 a.m.
Tutorial:
(ends 10:15 AM)
Tutorial:
(ends 10:15 AM)
Tutorial:
(ends 10:15 AM)
9 a.m.
10 a.m.
10:15 a.m.
10:45 a.m.
11:45 a.m.
1:30 p.m.
2 p.m.
3 p.m.
3:25 p.m.
Invited Talk:
Björn Ommer
(ends 4:15 PM)
4:15 p.m.
4:30 p.m.
Chairs: Jean Oh · Isabelle Guyon
s 4:30-6:00
[4:30]
Voice Scroll
[4:30]
The WHOOPS! Gallery: An Intersection of AI, Creativity, and the Unusual
[4:30]
Kiss/Crash
[4:30]
Emergent Rhythm — Real-time AI Generative DJ Set
[4:30]
Fusion: Landscape and Beyond
[4:30]
Entanglement
(ends 6:00 PM)
TUE 12 DEC
5:30 a.m.
(ends 4:00 PM)
6:30 a.m.
7:15 a.m.
8 a.m.
Orals 8:00-8:45
[8:00]
Ordering-based Conditions for Global Convergence of Policy Gradient Methods
[8:15]
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
[8:30]
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
[8:15]
OpenAssistant Conversations - Democratizing Large Language Model Alignment
[8:30]
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
How to Turn Your Knowledge Graph Embeddings into Generative Models
[8:15]
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
[8:30]
Characteristic Circuits
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
[8:15]
Abide by the law and follow the flow: conservation laws for gradient flows
[8:30]
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
(ends 8:45 AM)
8:45 a.m.
Posters 8:45-10:45
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Precise asymptotic generalization for multiclass classification with overparameterized linear models
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
(ends 10:45 AM)
10:45 a.m.
12:15 p.m.
Invited Talk:
Linda Smith
(ends 1:05 PM)
1:05 p.m.
Chairs: Jean Oh · Isabelle Guyon
s 1:05-1:40
[1:05]
Kiss/Crash
[1:05]
Blabrecs: An AI-Based Game of Nonsense Word Creation
[1:05]
Androgynous and Mixed Race Human Face
[1:05]
Voice Scroll
[1:05]
The WHOOPS! Gallery: An Intersection of AI, Creativity, and the Unusual
[1:05]
Visions of Resilience: Augmented Diversity
[1:05]
salad bowl
[1:05]
AI Applications to Illustrate Native American Arts: Birdsongs: Using Transfer Learning to Augment Image Generation Models
[1:05]
Visualising AI
[1:05]
Creating playful comics together with AI
(ends 1:40 PM)
Test Of Time:
(ends 1:25 PM)
1:20 p.m.
1:40 p.m.
Orals 1:40-2:40
[1:40]
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
[1:55]
QLoRA: Efficient Finetuning of Quantized LLMs
[2:10]
Scaling Data-Constrained Language Models
[2:25]
Bridging Discrete and Backpropagation: Straight-Through and Beyond
(ends 2:40 PM)
Orals 1:40-2:40
[1:40]
Rotating Features for Object Discovery
[1:55]
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
[2:10]
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
[2:25]
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
(ends 2:40 PM)
Orals 1:40-2:40
[1:40]
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
[1:55]
A Measure-Theoretic Axiomatisation of Causality
[2:10]
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
[2:25]
Causal normalizing flows: from theory to practice
(ends 2:40 PM)
Orals 1:40-2:40
[1:40]
Nearly Tight Bounds For Differentially Private Multiway Cut
[1:55]
Privacy Auditing with One (1) Training Run
[2:10]
Private Everlasting Prediction
[2:25]
User-Level Differential Privacy With Few Examples Per User
(ends 2:40 PM)
2:45 p.m.
3:15 p.m.
Posters 3:15-5:15
M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data