riteshhf (Ritesh Kumar)

spaces 9

Reproduction: Possibilistic Predictive Uncertainty for Deep Learning

🎯

Explore experiment logs, code, and traces in an interactive web UI

Reproduction: Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

🎯

Explore project logs, code, and traces in an interactive workspace

Reproduction: Calibrating Conservatism for Scalable Oversight

🎯

View project logs, traces, and workspace in an interactive logbook

Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior

🎯

Explore project logs, code, and traces in an interactive web UI

Reproduction: Timestep Rescheduling in Diffusion Inversion

🎯

Explore and manage experiment logs in a web interface

Reproduction: SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm

🎯

Explore experiment logs and traces in a web workspace

View 9 Spaces

models 2

riteshhf/tsfp-repro-code

Updated Aug 1

riteshhf/TEST1ppo-LunarLander-v2

Reinforcement Learning • Updated May 4, 2022 • 1 • 2

datasets 7

riteshhf/repro-possibilistic-predictive-uncertainty-for-deep-learning-traces

Traces • Updated Aug 3 • 120 • 31

riteshhf/repro-cco-code

Updated Aug 2 • 47

riteshhf/repro-siamesenorm-breaking-the-barrier-to-reconciling-pre-post-norm-traces

Traces • Updated Aug 2 • 1 • 53

riteshhf/repro-from-prior-to-pro-efficient-skill-mastery-via-distribution-contractive-rl-traces

Traces • Updated Aug 2 • 1 • 45

riteshhf/eks-repro-artifacts

Updated Aug 1 • 35

riteshhf/repro-learning-fingerprints-for-medical-time-series-with-redundancy-constrained-info-traces

Traces • Updated Aug 1 • 1 • 44

riteshhf/tsfp-repro-adftd-processed

Updated Aug 1 • 136

Ritesh Kumar

AI & ML interests

Organizations

spaces 9

Reproduction: Possibilistic Predictive Uncertainty for Deep Learning

Reproduction: Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

Reproduction: Calibrating Conservatism for Scalable Oversight

Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior

Reproduction: Timestep Rescheduling in Diffusion Inversion

Reproduction: SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm

models 2

riteshhf/tsfp-repro-code

riteshhf/TEST1ppo-LunarLander-v2

datasets 7

riteshhf/repro-possibilistic-predictive-uncertainty-for-deep-learning-traces

riteshhf/repro-cco-code

riteshhf/repro-siamesenorm-breaking-the-barrier-to-reconciling-pre-post-norm-traces

riteshhf/repro-from-prior-to-pro-efficient-skill-mastery-via-distribution-contractive-rl-traces

riteshhf/eks-repro-artifacts

riteshhf/repro-learning-fingerprints-for-medical-time-series-with-redundancy-constrained-info-traces

riteshhf/tsfp-repro-adftd-processed

Ritesh Kumar

AI & ML interests

Organizations

spaces 9 Sort: Recently updated

Reproduction: Possibilistic Predictive Uncertainty for Deep Learning

Reproduction: Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

Reproduction: Calibrating Conservatism for Scalable Oversight

Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior

Reproduction: Timestep Rescheduling in Diffusion Inversion

Reproduction: SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm

models 2 Sort: Recently updated

datasets 7 Sort: Recently updated

spaces 9

models 2

datasets 7