Good Papers

Showing papers from Mila, Université de Montréal Show all papers

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A Surrogate Perspective on Convergence of Fixed-Target DQN

Zichu Liu, Nneka M Okolo, Ryan D'Orazio, Danilo Vucetic and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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medium 0/10
strict 0/5
57%Worth a look
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On the Selectivity of Generative Models in Structure-Based Drug Design

Ella Miray Rajaonson, Jungyoon Lee, William Chau, Alan Aspuru-Guzik and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
78%Highly rated
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Wasserstein residuals: Learning Gradient Flows from Population Dynamics

A residual-based continuity loss for Wasserstein gradient flows yields a simulation-free stitching method robust to sparse observations and state-of-the-art on trajectory inference benchmarks.

Markus Heinonen, Yair Shenfeld, Ricardo Baptista, Daniel Waxman and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 1/5
72%Highly rated
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Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models

Flow models relate to Schrödinger dynamics via an unusual Hamiltonian, enabling efficient quantum Hamiltonian simulation for preparing coherent encodings of flow-modeled distributions and supporting quantum statistical algorithms.

David Layden, Ryan Sweke, Vojtech Havlicek, Anirban Chowdhury and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 3/5