16 posters you don’t want to miss at ICML 2024
Heading to Vienna for the 41st International Conference on Machine Learning? If you’re interested in research focused on AI and health, don’t forget to check out these exciting posters from MIT Jameel Clinic researchers being shown from July 23 – July 25.
July 23
Poster Session 1
“AlphaFold Meets Flow Matching for Generating Protein Ensembles”
Bowen Jing · Bonnie Berger · Tommi Jaakkola
“Dirichlet Flow Matching with Applications to DNA Sequence Design”
Hannes Stärk · Bowen Jing · Chenyu Wang · Gabriele Corso · Bonnie Berger · Regina Barzilay · Tommi Jaakkola
“Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design”
Hannes Stärk · Bowen Jing · Regina Barzilay · Tommi Jaakkola
“Implicit Representations via Operator Learning”
Sourav Pal · Harshavardhan Adepu · Clinton Wang · Polina Golland · Vikas Singh
“Position: Application-Driven Innovation in Machine Learning”
David Rolnick · Alan Aspuru-Guzik · Sara Beery · Bistra Dilkina · Priya Donti · Marzyeh Ghassemi · Hannah Kerner · Claire Monteleoni · Esther Rolf · Milind Tambe · Adam White
Poster Session 2
“Overcoming the Optimizer’s Curse: Obtaining Realistic Prescriptions from Neural Networks”
Asterios Tsiourvas · Georgia Perakis
July 24
Poster Session 3
“Causal Discovery with Fewer Conditional Independence Tests”
Kirankumar Shiragur · Jiaqi Zhang · Caroline Uhler
“CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes”
Peter Mikhael · Itamar Chinn · Regina Barzilay
“Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design”
Andrew Campbell · Jason Yim · Regina Barzilay · Tom Rainforth · Tommi Jaakkola
“Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series”
Asterios Tsiourvas · Wei Sun · Georgia Perakis · Pin-Yu Chen · Yada Zhu
“Measuring Stochastic Data Complexity with Boltzmann Influence Functions”
Nathan Ng · Roger Grosse · Marzyeh Ghassemi
Poster Session 4
“Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization”
Qiang Fu · Ashia Wilson
July 25
Poster Session 5
“DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents”
Yilun Xu · Gabriele Corso · Tommi Jaakkola · Arash Vahdat · Karsten Kreis
Poster Session 6
“Asymmetry in Low-Rank Adapters of Foundation Models”
Jiacheng Zhu · Kristjan Greenewald · Kimia Nadjahi · Haitz Sáez de Ocáriz Borde · Rickard Gabrielsson · Leshem Choshen · Marzyeh Ghassemi · Mikhail Yurochkin · Justin Solomon
“Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized”
Shomik Jain · Kathleen A. Creel · Ashia Wilson
“Prediction-powered Generalization of Causal Inferences”
Ilker Demirel · Ahmed Alaa · Anthony Philippakis · David Sontag
