Devendra Singh Dhami
@devendradhami.bsky.social
Pahadi 🇮🇳| Assistant Professor at TU Eindhoven | Causality, Neuro-symbolic AI, Probabilistic Circuits and pretty much all of Machine Learning ;)
Reposted by Devendra Singh Dhami
I'm excited to share some updates:
1) Our paper "When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions" (openreview.net/pdf?id=3fpYX...) will be at #NeurIPS2025
We introduce Meta-Causal Analysis to model qualitative transitions of causal systems. 1/4
1) Our paper "When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions" (openreview.net/pdf?id=3fpYX...) will be at #NeurIPS2025
We introduce Meta-Causal Analysis to model qualitative transitions of causal systems. 1/4
November 4, 2025 at 12:06 PM
I'm excited to share some updates:
1) Our paper "When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions" (openreview.net/pdf?id=3fpYX...) will be at #NeurIPS2025
We introduce Meta-Causal Analysis to model qualitative transitions of causal systems. 1/4
1) Our paper "When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions" (openreview.net/pdf?id=3fpYX...) will be at #NeurIPS2025
We introduce Meta-Causal Analysis to model qualitative transitions of causal systems. 1/4
Reposted by Devendra Singh Dhami
EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
July 16, 2025 at 10:01 PM
EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu
eurips.cc
Reposted by Devendra Singh Dhami
NeurIPS is endorsing EurIPS, an independently-organized meeting which will offer researchers an opportunity to additionally present NeurIPS work in Europe concurrently with NeurIPS.
Read more in our blog post and on the EurIPS website:
blog.neurips.cc/2025/07/16/n...
eurips.cc
Read more in our blog post and on the EurIPS website:
blog.neurips.cc/2025/07/16/n...
eurips.cc
eurips.cc
A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark
eurips.cc
July 16, 2025 at 10:05 PM
NeurIPS is endorsing EurIPS, an independently-organized meeting which will offer researchers an opportunity to additionally present NeurIPS work in Europe concurrently with NeurIPS.
Read more in our blog post and on the EurIPS website:
blog.neurips.cc/2025/07/16/n...
eurips.cc
Read more in our blog post and on the EurIPS website:
blog.neurips.cc/2025/07/16/n...
eurips.cc
Reposted by Devendra Singh Dhami
next is Elias Bareinboim (causalai.net) from Columbia University, who will discuss in his keynote talk about the recent
✨ progress toward building causally intelligent AI systems ✨
full abstract 👉 www.auai.org/uai2025/keyn...
✨ progress toward building causally intelligent AI systems ✨
full abstract 👉 www.auai.org/uai2025/keyn...
June 30, 2025 at 9:34 AM
next is Elias Bareinboim (causalai.net) from Columbia University, who will discuss in his keynote talk about the recent
✨ progress toward building causally intelligent AI systems ✨
full abstract 👉 www.auai.org/uai2025/keyn...
✨ progress toward building causally intelligent AI systems ✨
full abstract 👉 www.auai.org/uai2025/keyn...
Reposted by Devendra Singh Dhami
time to announce our amazing keynote speakers!
we start with Francesca Dominici (hsph.harvard.edu/research/dom...) from Harvard University, who will talk about:
✨ AI's uncertain, double-edged role in the fight against climate change ✨
full abstract 👉 www.auai.org/uai2025/keyn...
we start with Francesca Dominici (hsph.harvard.edu/research/dom...) from Harvard University, who will talk about:
✨ AI's uncertain, double-edged role in the fight against climate change ✨
full abstract 👉 www.auai.org/uai2025/keyn...
June 30, 2025 at 9:28 AM
time to announce our amazing keynote speakers!
we start with Francesca Dominici (hsph.harvard.edu/research/dom...) from Harvard University, who will talk about:
✨ AI's uncertain, double-edged role in the fight against climate change ✨
full abstract 👉 www.auai.org/uai2025/keyn...
we start with Francesca Dominici (hsph.harvard.edu/research/dom...) from Harvard University, who will talk about:
✨ AI's uncertain, double-edged role in the fight against climate change ✨
full abstract 👉 www.auai.org/uai2025/keyn...
Reposted by Devendra Singh Dhami
Are you interested in improving the #interpretability, #robustness and #safety of current AI systems with #causality and #RL?
Apply to our PhD position in Amsterdam 🚲🌷🇳🇱
Deadline: June 15
Apply to our PhD position in Amsterdam 🚲🌷🇳🇱
Deadline: June 15
New PhD position at the University of Amsterdam in @amlab.bsky.social on learning concepts with theoretical guarantees using #causality and #RL with me, Frans Oliehoek (TU Delft) and Herke van Hoof 💥
Deadline: 15 June
werkenbij.uva.nl/en/vacancies...
Deadline: 15 June
werkenbij.uva.nl/en/vacancies...
Vacancy — PhD Position on Learning Concepts with Theoretical Guarantees Using Causality and RL
Are you interested in improving the interpretability, robustness and safety of current AI systems? If the answer is yes, please continue reading!
werkenbij.uva.nl
June 3, 2025 at 9:37 AM
Are you interested in improving the #interpretability, #robustness and #safety of current AI systems with #causality and #RL?
Apply to our PhD position in Amsterdam 🚲🌷🇳🇱
Deadline: June 15
Apply to our PhD position in Amsterdam 🚲🌷🇳🇱
Deadline: June 15
Reposted by Devendra Singh Dhami
did you check our amazing list of tutorials in Rio?
spanning
- hyperparameter optimization
- counterfactual reasoning
- bayesian nonparametrics for causality
- causal inference with deep generative models
- modern variational inference
👉 www.auai.org/uai2025/tuto...
spanning
- hyperparameter optimization
- counterfactual reasoning
- bayesian nonparametrics for causality
- causal inference with deep generative models
- modern variational inference
👉 www.auai.org/uai2025/tuto...
Uncertainty in Artificial Intelligence
www.auai.org
June 4, 2025 at 9:25 AM
did you check our amazing list of tutorials in Rio?
spanning
- hyperparameter optimization
- counterfactual reasoning
- bayesian nonparametrics for causality
- causal inference with deep generative models
- modern variational inference
👉 www.auai.org/uai2025/tuto...
spanning
- hyperparameter optimization
- counterfactual reasoning
- bayesian nonparametrics for causality
- causal inference with deep generative models
- modern variational inference
👉 www.auai.org/uai2025/tuto...
Reposted by Devendra Singh Dhami
Horizontal, vertical, hybrid data partitioning: heterogeneity is tough to handle in federated learning!
🔥In “Scaling Probabilistic Circuits via Data Partitioning" - accepted at #UAI25 - we unify the different settings through aggregation of learned client distributions: arxiv.org/abs/2503.08141
🔥In “Scaling Probabilistic Circuits via Data Partitioning" - accepted at #UAI25 - we unify the different settings through aggregation of learned client distributions: arxiv.org/abs/2503.08141
May 8, 2025 at 7:19 AM
Horizontal, vertical, hybrid data partitioning: heterogeneity is tough to handle in federated learning!
🔥In “Scaling Probabilistic Circuits via Data Partitioning" - accepted at #UAI25 - we unify the different settings through aggregation of learned client distributions: arxiv.org/abs/2503.08141
🔥In “Scaling Probabilistic Circuits via Data Partitioning" - accepted at #UAI25 - we unify the different settings through aggregation of learned client distributions: arxiv.org/abs/2503.08141
Reposted by Devendra Singh Dhami
Excited to share that our paper got accepted at #ICML2025!! 🎉
We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings.
Check out the paper: arxiv.org/abs/2410.19546
& read more below 👇
We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings.
Check out the paper: arxiv.org/abs/2410.19546
& read more below 👇
May 2, 2025 at 7:48 AM
Excited to share that our paper got accepted at #ICML2025!! 🎉
We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings.
Check out the paper: arxiv.org/abs/2410.19546
& read more below 👇
We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings.
Check out the paper: arxiv.org/abs/2410.19546
& read more below 👇
Reposted by Devendra Singh Dhami
I'm excited to present our spotlight on meta-causal models at #ICLR2025 next week.
We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V...
Visit our poster #441 during the Sat 3pm session.
We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V...
Visit our poster #441 during the Sat 3pm session.
April 17, 2025 at 5:56 PM
I'm excited to present our spotlight on meta-causal models at #ICLR2025 next week.
We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V...
Visit our poster #441 during the Sat 3pm session.
We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V...
Visit our poster #441 during the Sat 3pm session.
Reposted by Devendra Singh Dhami
the #TPM ⚡Tractable Probabilistic Modeling ⚡Workshop is back at @auai.org #UAI2025!
Submit your works on:
- fast and #reliable inference
- #circuits and #tensor #networks
- normalizing #flows
- scaling #NeSy #AI
...& more!
🕓 deadline: 23/05/25
👉 tractable-probabilistic-modeling.github.io/tpm2025/
Submit your works on:
- fast and #reliable inference
- #circuits and #tensor #networks
- normalizing #flows
- scaling #NeSy #AI
...& more!
🕓 deadline: 23/05/25
👉 tractable-probabilistic-modeling.github.io/tpm2025/
April 16, 2025 at 8:40 AM
Idea of having a rebuttal acknowledgement button in #ICML2025 is a big goof up. It reduces the accountability of the reviewers since we don't get anything even after answering everything. If it was a discussion then at least they are forced to say what they did or did not like!!
April 5, 2025 at 2:17 AM
Idea of having a rebuttal acknowledgement button in #ICML2025 is a big goof up. It reduces the accountability of the reviewers since we don't get anything even after answering everything. If it was a discussion then at least they are forced to say what they did or did not like!!
Reposted by Devendra Singh Dhami
xLSTM for time series with Granger causality: arxiv.org/abs/2502.09981
xLSTM again shows superb performance at time series analysis.
"Our experimental evaluations on three datasets demonstrate the overall efficacy of our proposed GC-xLSTM model."
xLSTM again shows superb performance at time series analysis.
"Our experimental evaluations on three datasets demonstrate the overall efficacy of our proposed GC-xLSTM model."
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
Causality in time series can be difficult to determine, especially in the presence of non-linear dependencies. The concept of Granger causality helps analyze potential relationships between variables,...
arxiv.org
February 17, 2025 at 6:18 AM
xLSTM for time series with Granger causality: arxiv.org/abs/2502.09981
xLSTM again shows superb performance at time series analysis.
"Our experimental evaluations on three datasets demonstrate the overall efficacy of our proposed GC-xLSTM model."
xLSTM again shows superb performance at time series analysis.
"Our experimental evaluations on three datasets demonstrate the overall efficacy of our proposed GC-xLSTM model."
Reposted by Devendra Singh Dhami
Thrilled to introduce BlendRL— our neuro-symbolic RL that bridges intuitive & symbolic reasoning! 🧠🤖 A step closer to reasoning agents that think & act seamlessly. 🚀 Check out the details in our #ICLR2025 paper! #AI #ReinforcementLearning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Humans can leverage both symbolic reasoning and intuitive reactions. In contrast, reinforcement learning policies are typically encoded in either opaque systems like neural networks or symbolic…
arxiv.org
January 24, 2025 at 10:10 PM
Thrilled to introduce BlendRL— our neuro-symbolic RL that bridges intuitive & symbolic reasoning! 🧠🤖 A step closer to reasoning agents that think & act seamlessly. 🚀 Check out the details in our #ICLR2025 paper! #AI #ReinforcementLearning
Reposted by Devendra Singh Dhami
Thrilled to share our #ICLR2025 work on Meta-Causal States! 🌟 Causal graphs evolve with dynamic systems & agent actions. We show how to cluster causal models by qualitative behavior, revealing hidden dynamics & emergent relationships 🚀 #Causality #ML
https://arxiv.org/abs/2410.13054
https://arxiv.org/abs/2410.13054
January 24, 2025 at 7:34 PM
Thrilled to share our #ICLR2025 work on Meta-Causal States! 🌟 Causal graphs evolve with dynamic systems & agent actions. We show how to cluster causal models by qualitative behavior, revealing hidden dynamics & emergent relationships 🚀 #Causality #ML
https://arxiv.org/abs/2410.13054
https://arxiv.org/abs/2410.13054
Reposted by Devendra Singh Dhami
Three days left to apply for a PhD in my group! ⬇️⬇️
Come join us to work on the forefront of adaptive AI & lifelong machine learning. We’ve got lots of exciting ideas in store 🤗
Come join us to work on the forefront of adaptive AI & lifelong machine learning. We’ve got lots of exciting ideas in store 🤗
I’m hiring 2 fully-funded PhD students to join our new Lifelong ML lab at the University of Bremen, where our mission is to make ML/AI more sustainable, adaptive, robust & inclusive.
App deadline Dec. 10: www.uni-bremen.de/en/universit...
Please share or reach out!
#MachineLearning #AI #PhD
App deadline Dec. 10: www.uni-bremen.de/en/universit...
Please share or reach out!
#MachineLearning #AI #PhD
December 7, 2024 at 1:49 PM
Three days left to apply for a PhD in my group! ⬇️⬇️
Come join us to work on the forefront of adaptive AI & lifelong machine learning. We’ve got lots of exciting ideas in store 🤗
Come join us to work on the forefront of adaptive AI & lifelong machine learning. We’ve got lots of exciting ideas in store 🤗
Reposted by Devendra Singh Dhami
The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25!
The CfP is out 👉 www.auai.org/uai2025/call...
🚨 Feb 10: Paper submission
🗣️ Apr 3-10: rebuttal period
🎉/💀 May 6: Author notification
#UAI2025 #ML #stats #learning #reasoning #uncertainty
The CfP is out 👉 www.auai.org/uai2025/call...
🚨 Feb 10: Paper submission
🗣️ Apr 3-10: rebuttal period
🎉/💀 May 6: Author notification
#UAI2025 #ML #stats #learning #reasoning #uncertainty
December 3, 2024 at 5:07 PM
The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25!
The CfP is out 👉 www.auai.org/uai2025/call...
🚨 Feb 10: Paper submission
🗣️ Apr 3-10: rebuttal period
🎉/💀 May 6: Author notification
#UAI2025 #ML #stats #learning #reasoning #uncertainty
The CfP is out 👉 www.auai.org/uai2025/call...
🚨 Feb 10: Paper submission
🗣️ Apr 3-10: rebuttal period
🎉/💀 May 6: Author notification
#UAI2025 #ML #stats #learning #reasoning #uncertainty
I will be in Vancouver for #NeurIPS2024 presenting 2 works: one on extending Segment anything model with differentialble logic reasoners (openreview.net/pdf?id=cmSNX...) and one on making GNNs better with simple pre-processing modules (openreview.net/pdf?id=faj2E...) with @kerstingaiml.bsky.social
openreview.net
November 29, 2024 at 1:47 PM
I will be in Vancouver for #NeurIPS2024 presenting 2 works: one on extending Segment anything model with differentialble logic reasoners (openreview.net/pdf?id=cmSNX...) and one on making GNNs better with simple pre-processing modules (openreview.net/pdf?id=faj2E...) with @kerstingaiml.bsky.social
Reposted by Devendra Singh Dhami
Amazing opportunity for #Neurosymbolic folks! 🚨🚨🚨
We are looking for a Tenure Track Prof for the 🇦🇹 #FWF Cluster of Excellence Bilateral AI (think #NeSy ++) www.bilateral-ai.net A nice starting pack for fully funded PhDs is included.
jobs.tugraz.at/en/jobs/226f...
We are looking for a Tenure Track Prof for the 🇦🇹 #FWF Cluster of Excellence Bilateral AI (think #NeSy ++) www.bilateral-ai.net A nice starting pack for fully funded PhDs is included.
jobs.tugraz.at/en/jobs/226f...
BilateralAI – Bilateral AI – Cluster of Excellence
www.bilateral-ai.net
November 28, 2024 at 10:42 AM
Amazing opportunity for #Neurosymbolic folks! 🚨🚨🚨
We are looking for a Tenure Track Prof for the 🇦🇹 #FWF Cluster of Excellence Bilateral AI (think #NeSy ++) www.bilateral-ai.net A nice starting pack for fully funded PhDs is included.
jobs.tugraz.at/en/jobs/226f...
We are looking for a Tenure Track Prof for the 🇦🇹 #FWF Cluster of Excellence Bilateral AI (think #NeSy ++) www.bilateral-ai.net A nice starting pack for fully funded PhDs is included.
jobs.tugraz.at/en/jobs/226f...