| Show Detail |
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]
Emergent Rhythm — Real-time AI Generative DJ Set
[4:30]
Entanglement
[4:30]
Fusion: Landscape and Beyond
[4:30]
Kiss/Crash
[4:30]
The WHOOPS! Gallery: An Intersection of AI, Creativity, and the Unusual
(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 qπ-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
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
(ends 5:15 PM)
5 p.m.
WED 13 DEC
5:30 a.m.
(ends 4:00 PM)
6:30 a.m.
Invited Talk:
Jelani Nelson
(ends 7:20 AM)
7:15 a.m.
8 a.m.
Orals 8:00-8:45
[8:00]
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
[8:15]
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
[8:30]
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
[8:15]
Toolformer: Language Models Can Teach Themselves to Use Tools
[8:30]
Learning Transformer Programs
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
[8:15]
Entropic Neural Optimal Transport via Diffusion Processes
[8:30]
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
(ends 8:45 AM)
8:45 a.m.
Posters 8:45-10:45
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
(ends 10:45 AM)
Chairs: Jean Oh · Isabelle Guyon
s 8:45-12:15
[8:45]
Kiss/Crash
[8:45]
Blabrecs: An AI-Based Game of Nonsense Word Creation
[8:45]
Androgynous and Mixed Race Human Face
[8:45]
Voice Scroll
[8:45]
The WHOOPS! Gallery: An Intersection of AI, Creativity, and the Unusual
[8:45]
Visions of Resilience: Augmented Diversity
[8:45]
salad bowl
[8:45]
Creating playful comics together with AI
[8:45]
AI Applications to Illustrate Native American Arts: Birdsongs: Using Transfer Learning to Augment Image Generation Models
[8:45]
Visualising AI
(ends 12:15 PM)
10:45 a.m.
12:15 p.m.
Invited Talk:
Alexander Rush · Aakanksha Chowdhery · Angela Fan · Percy Liang · Jie Tang
(ends 1:15 PM)
1:15 p.m.
1:30 p.m.
Orals 1:30-2:30
[1:30]
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
[1:45]
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
[2:00]
Generalizing Nonlinear ICA Beyond Structural Sparsity
[2:15]
Fine-Tuning Language Models with Just Forward Passes
(ends 2:30 PM)
Orals 1:30-2:30
[1:30]
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
[1:45]
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
[2:00]
Quilt-1M: One Million Image-Text Pairs for Histopathology
[2:15]
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
(ends 2:30 PM)
Orals 1:30-2:30
[1:30]
Why think step by step? Reasoning emerges from the locality of experience
[1:45]
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
[2:00]
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
[2:15]
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
(ends 2:30 PM)
2:15 p.m.
3 p.m.
Posters 3:00-5:00
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
(ends 5:00 PM)
5 p.m.
THU 14 DEC
5:30 a.m.
(ends 4:00 PM)
6:30 a.m.
Invited Talk:
Christopher Ré
(ends 7:20 AM)
7:15 a.m.
8 a.m.
Orals 8:00-8:45
[8:00]
Going beyond persistent homology using persistent homology
[8:15]
Clifford Group Equivariant Neural Networks
[8:30]
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
Students Parrot Their Teachers: Membership Inference on Model Distillation
[8:15]
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
[8:30]
Ethical Considerations for Responsible Data Curation
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
[8:15]
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
[8:30]
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
(ends 8:45 AM)
Orals 8:00-8:45
[8:00]
Visual Instruction Tuning
[8:15]
EgoEnv: Human-centric environment representations from egocentric video
[8:30]
DataComp: In search of the next generation of multimodal datasets
(ends 8:45 AM)
8:45 a.m.
Posters 8:45-10:45
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
(ends 10:45 AM)
Chairs: Jean Oh · Isabelle Guyon
s 8:45-12:15
[8:45]
Archi Guesser - An AI Art Architecture Educational Game
[8:45]
Collaborative Synthscapes from Words
[8:45]
Creating Playful Comics Together with AI
[8:45]
Q's Views #1-#3 (+1)
[8:45]
Resonator: An AI-assisted Musical Experience for Human Connection
[8:45]
salad bowl
[8:45]
NeuroView: Generative Visualization of the Diversity of Brain Responses to Jazz
[8:45]
Fusion: Landscape and Beyond
(ends 12:15 PM)
10:45 a.m.
12:15 p.m.
Invited Talk:
Susan Murphy
(ends 1:05 PM)
1 p.m.
1:20 p.m.
Orals 1:20-2:20
[1:20]
Are Emergent Abilities of Large Language Models a Mirage?
[1:35]
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
[1:50]
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
[2:05]
Jailbroken: How Does LLM Safety Training Fail?
(ends 2:20 PM)
Orals 1:20-2:20
[1:20]
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
[1:35]
Bridging RL Theory and Practice with the Effective Horizon
[1:50]
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
[2:05]
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
(ends 2:20 PM)
Orals 1:20-2:20
[1:20]
Siamese Masked Autoencoders
[1:35]
Image Captioners Are Scalable Vision Learners Too
[1:50]
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
[2:05]
Spatial-frequency channels, shape bias, and adversarial robustness
(ends 2:20 PM)
Orals 1:20-2:20
[1:20]
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
[1:35]
Random Cuts are Optimal for Explainable k-Medians
[1:50]
Tester-Learners for Halfspaces: Universal Algorithms
[2:05]
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
(ends 2:20 PM)
2:20 p.m.
3 p.m.
Posters 3:00-5:00
Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
(ends 5:00 PM)
5 p.m.
Chairs: Jean Oh · Isabelle Guyon
s 5:00-6:45
[5:00]
Resonator: An AI-assisted Musical Experience for Human Connection
[5:00]
Emergent Rhythm — Real-time AI Generative DJ Set
[5:00]
Entanglement
[5:00]
Fusion: Landscape and Beyond
[5:00]
Kiss/Crash
[5:00]
The WHOOPS! Gallery: An Intersection of AI, Creativity, and the Unusual
[6:00]
Collaborative Synthscapes from Words
(ends 7:00 PM)
6 p.m.
FRI 15 DEC
5:30 a.m.
(ends 2:00 PM)
6:15 a.m.
Workshop:
(ends 3:30 PM)
6:30 a.m.
6:35 a.m.
6:45 a.m.
Workshop:
(ends 3:15 PM)
6:50 a.m.
Workshop:
(ends 3:30 PM)
7 a.m.
Workshop:
(ends 2:30 PM)
Competition:
(ends 10:00 AM)
Competition:
(ends 11:00 AM)
Competition:
(ends 10:00 AM)
Competition:
(ends 10:00 AM)
10 a.m.
11:30 a.m.
Competition:
(ends 2:30 PM)
1 p.m.
3:30 p.m.
SAT 16 DEC
5:30 a.m.
(ends 10:00 AM)
6:15 a.m.
Workshop:
(ends 3:30 PM)
Workshop:
(ends 3:30 PM)
Workshop:
(ends 3:15 PM)
Workshop:
(ends 3:30 PM)
6:20 a.m.
6:25 a.m.
6:30 a.m.
6:45 a.m.
Workshop:
(ends 3:30 PM)
6:50 a.m.
6:55 a.m.
Workshop:
(ends 3:30 PM)
7 a.m.
8 a.m.
9 a.m.
10 a.m.
11:30 a.m.
Competition:
(ends 2:30 PM)
1 p.m.
TUE 19 DEC
7 a.m.
7 p.m.