Starkly Speaking Reading Group

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All information, schedule of upcoming talks, recordings: https://portal.valencelabs.com/starklyspeaking

Every Tuesday on Zoom at 9am PT / 12pm ET / 6pm CE(S)T: https://zoom.us/j/5775722530?pwd=ZzlGTXlDNThhUDZOdU4vN2JRMm5pQT09

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Slack Workspace for discussions and paper voting: https://join.slack.com/t/logag/shared_invite/zt-2nmy5vsj7-8KEDXe~mU~p5fCxwupSv5w

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Hannes Stärk

Sep 7

Starkly Speaking: Amortized Sampling with Transferable Normalizing Flows

Hi together, Tomorrow we will discuss some more unnormalized density sampling! Amortized Sampling

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Starkly Speaking: Amortized Sampling with Transferable Normalizing Flows

Hi together, Tomorrow we will discuss some more unnormalized density sampling! Amortized Sampling

Sep 7

Hannes Stärk2

Aug 3

Starkly Speaking: Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Ooops, this is not happening in 1 hour as the previous email said. It is happening tomorrow: Every

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Starkly Speaking: Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Ooops, this is not happening in 1 hour as the previous email said. It is happening tomorrow: Every

Aug 3

Hannes Stärk

Jul 21

Starkly Speaking: Predicting cellular responses to perturbation across diverse contexts with State

Hi together, In 1 hour! Paper: Predicting cellular responses to perturbation across diverse contexts

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Starkly Speaking: Predicting cellular responses to perturbation across diverse contexts with State

Hi together, In 1 hour! Paper: Predicting cellular responses to perturbation across diverse contexts

Jul 21

Hannes Stärk

Jul 5

Starkly Speaking: Next session cancelled

Hey, Our next session's speaker unfortunately cancelled and we will postpone this one. Hannes

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Starkly Speaking: Next session cancelled

Hey, Our next session's speaker unfortunately cancelled and we will postpone this one. Hannes

Jul 5

Hannes Stärk

Jun 29

Starkly Speaking: "UMA: A Family of Universal Models for Atoms"

Hi together, Tomorrow we cover a recent breakthrough paper in the world of NNPs: Paper: UMA: A Family

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Starkly Speaking: "UMA: A Family of Universal Models for Atoms"

Hi together, Tomorrow we cover a recent breakthrough paper in the world of NNPs: Paper: UMA: A Family

Jun 29

Hannes Stärk

Jun 21

Starkly Speaking on Monday: Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms

Hi together, Let us understand a core ingredient of diffusion models better - classifier free

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Starkly Speaking on Monday: Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms

Hi together, Let us understand a core ingredient of diffusion models better - classifier free

Jun 21

Hannes Stärk

Jun 16

Starkly Speaking tomorrow: Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction

Hi together, Tomorrow we discuss Boltz-2! We also have a luma event in case you find that convenient:

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Starkly Speaking tomorrow: Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction

Hi together, Tomorrow we discuss Boltz-2! We also have a luma event in case you find that convenient:

Jun 16

Hannes Stärk2

Jun 14

Starkly Speaking next TUESDAY: Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction

We also have a luma event for the Boltz-2 talk next Tuesday in case you find that convenient: https:/

unread,

Starkly Speaking next TUESDAY: Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction

We also have a luma event for the Boltz-2 talk next Tuesday in case you find that convenient: https:/

Jun 14

Hannes Stärk

Jun 8

Starkly Speaking reading group: Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Hi together, Tomorrow we will have: Paper: Action-Minimization Meets Generative Modeling: Efficient

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Starkly Speaking reading group: Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Hi together, Tomorrow we will have: Paper: Action-Minimization Meets Generative Modeling: Efficient

Jun 8

Hannes Stärk

Jun 1

Starkly Speaking reading group: Identifying perturbation targets through causal differential networks

Hi together, Tomorrow we will have: Paper: Identifying perturbation targets through causal

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Starkly Speaking reading group: Identifying perturbation targets through causal differential networks

Hi together, Tomorrow we will have: Paper: Identifying perturbation targets through causal

Jun 1

Hannes Stärk

May 25

Starkly Speaking reading group: Orbv3 and other models in that class.

Hi together, Tomorrow we will have: Paper: Orbv3 and other models in that class. What is the state of

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Starkly Speaking reading group: Orbv3 and other models in that class.

Hi together, Tomorrow we will have: Paper: Orbv3 and other models in that class. What is the state of

May 25

Hannes Stärk

May 18

Starkly Speaking reading group: FEAT: Free energy Estimators with Adaptive Transport

Hi together, Tomorrow we will have: FEAT: Free energy Estimators with Adaptive Transport https://

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Starkly Speaking reading group: FEAT: Free energy Estimators with Adaptive Transport

Hi together, Tomorrow we will have: FEAT: Free energy Estimators with Adaptive Transport https://

May 18

Hannes Stärk

May 11

Starkly Speaking tomorrow: Atom level enzyme active site scaffolding using RFdiffusion2

Hi together, Tomorrow we will have: Paper: Atom level enzyme active site scaffolding using

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Starkly Speaking tomorrow: Atom level enzyme active site scaffolding using RFdiffusion2

Hi together, Tomorrow we will have: Paper: Atom level enzyme active site scaffolding using

May 11

Hannes Stärk

May 4

No reading group session tomorrow

Hi together, There will be no reading group session tomorrow. Some post ICLR sickness, some models

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No reading group session tomorrow

Hi together, There will be no reading group session tomorrow. Some post ICLR sickness, some models

May 4

Hannes Stärk

Apr 17

Starkly Speaking next paper: Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians

Hi together, Heyho, we are back with the reading group! New name, new papers :) Next week, Ezra and I

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Starkly Speaking next paper: Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians

Hi together, Heyho, we are back with the reading group! New name, new papers :) Next week, Ezra and I

Apr 17

Hannes Stärk

Apr 6

No reading group session tomorrow.

Hi together, There will be no reading group meeting tomorrow. Hannes Stärk Website: https://hannes-

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No reading group session tomorrow.

Hi together, There will be no reading group meeting tomorrow. Hannes Stärk Website: https://hannes-

Apr 6

Hannes Stärk

Mar 30

LoGG tomorrow's paper: Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians

Hi together, Tomorrow we enjoy: Towards Fast, Specialized Machine Learning Force Fields: Distilling

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LoGG tomorrow's paper: Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians

Hi together, Tomorrow we enjoy: Towards Fast, Specialized Machine Learning Force Fields: Distilling

Mar 30

Hannes Stärk

Mar 23

LoGG tomorrow's paper: One-step Diffusion Models with f-Divergence Distribution Matching

Hi together, Reading group session tomorrow March 24th is at a different time then usual. It will be

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LoGG tomorrow's paper: One-step Diffusion Models with f-Divergence Distribution Matching

Hi together, Reading group session tomorrow March 24th is at a different time then usual. It will be

Mar 23

Hannes Stärk

Mar 9

LoGG tomorrow's paper: Genome modeling and design across all domains of life with Evo 2

Hi together, Tomorrow's paper: Genome modeling and design across all domains of life with Evo 2

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LoGG tomorrow's paper: Genome modeling and design across all domains of life with Evo 2

Hi together, Tomorrow's paper: Genome modeling and design across all domains of life with Evo 2

Mar 9

Hannes Stärk

Mar 2

LoGG tomorrow's paper: The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains

Hi together, Tomorrow's paper: The Importance of Being Scalable: Improving the Speed and Accuracy

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LoGG tomorrow's paper: The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains

Hi together, Tomorrow's paper: The Importance of Being Scalable: Improving the Speed and Accuracy

Mar 2

Hannes Stärk

Feb 23

LoGG tomorrow's paper: Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Hi together, Tomorrow's paper: Inference-Time Scaling for Diffusion Models beyond Scaling

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LoGG tomorrow's paper: Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Hi together, Tomorrow's paper: Inference-Time Scaling for Diffusion Models beyond Scaling

Feb 23

Hannes Stärk

Feb 16

LoGG tomorrow's paper: The Superposition of Diffusion Models Using the Itô Density Estimator

Hi together, Tomorrow's paper: The Superposition of Diffusion Models Using the Itô Density

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LoGG tomorrow's paper: The Superposition of Diffusion Models Using the Itô Density Estimator

Hi together, Tomorrow's paper: The Superposition of Diffusion Models Using the Itô Density

Feb 16

Hannes Stärk

Feb 9

LoGG tomorrow's paper: Targeting protein–ligand neosurfaces with a generalizable deep learning tool

Hi together, Another nature nature one! Let's go: Targeting protein–ligand neosurfaces with a

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LoGG tomorrow's paper: Targeting protein–ligand neosurfaces with a generalizable deep learning tool

Hi together, Another nature nature one! Let's go: Targeting protein–ligand neosurfaces with a

Feb 9

Hannes Stärk

Feb 2

LoGG reading group delayed by 30min tomorrow: Accelerated Diffusion Models via Speculative Sampling

Hi together, The reading group tomorrow is delayed by 30 minutes to 12:30 pm ET instead of 12:00 pm

unread,

LoGG reading group delayed by 30min tomorrow: Accelerated Diffusion Models via Speculative Sampling

Hi together, The reading group tomorrow is delayed by 30 minutes to 12:30 pm ET instead of 12:00 pm

Feb 2

Hannes Stärk

Feb 1

LoGG next paper: Accelerated Diffusion Models via Speculative Sampling

Hi together, Next paper: Accelerated Diffusion Models via Speculative Sampling https://arxiv.org/abs/

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LoGG next paper: Accelerated Diffusion Models via Speculative Sampling

Hi together, Next paper: Accelerated Diffusion Models via Speculative Sampling https://arxiv.org/abs/

Feb 1

Hannes Stärk

Jan 25

LoGG next paper: Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective

Hi together, Next paper: Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective

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LoGG next paper: Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective

Hi together, Next paper: Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective

Jan 25

Hannes Stärk

Jan 19

LoGG tomorrow's paper: PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

Hi together, Tomorrow's paper: Paper: PepTune: De Novo Generation of Therapeutic Peptides with

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LoGG tomorrow's paper: PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

Hi together, Tomorrow's paper: Paper: PepTune: De Novo Generation of Therapeutic Peptides with

Jan 19

Hannes Stärk

Jan 12

LoGG tomorrow's paper: Scalable emulation of protein equilibrium ensembles with generative deep learning

Hi together, Tomorrow we have a big paper! Scalable emulation of protein equilibrium ensembles with

unread,

LoGG tomorrow's paper: Scalable emulation of protein equilibrium ensembles with generative deep learning

Hi together, Tomorrow we have a big paper! Scalable emulation of protein equilibrium ensembles with

Jan 12

Hannes Stärk

Jan 5

LoGG tomorrow's paper: Does equivariance matter at scale?

Hi together, Long time no hear and happy new year! First dose of paper will be: Paper: Does

unread,

LoGG tomorrow's paper: Does equivariance matter at scale?

Hi together, Long time no hear and happy new year! First dose of paper will be: Paper: Does

Jan 5

Hannes Stärk

Jan 3

LoGG next paper: Does equivariance matter at scale?

Hi together, Long time no hear and happy new year! First dose of paper will be: Paper: Does

unread,

LoGG next paper: Does equivariance matter at scale?

Hi together, Long time no hear and happy new year! First dose of paper will be: Paper: Does

Jan 3