Entropic time scheduler (#1024)

### Description
Generates an entropic time schedule by remapping time based on the
cumulative information gain provided by a predictor function.

Inspired by the work from **Dejan Stancevic, Florian Handke, & Luca
Ambrogioni. (2025).**
Entropic Time Schedulers for Generative Diffusion Models
(https://arxiv.org/abs/2504.13612)

This entropy rate is used to create an optimized, data-dependent
time-stepping schedule for the generative process.

### Type of changes
<!-- Mark the relevant option with an [x] -->

- [ ]  Bug fix (non-breaking change which fixes an issue)
- [x]  New feature (non-breaking change which adds functionality)
- [ ]  Refactor
- [ ]  Documentation update
- [ ]  Other (please describe):

### CI Pipeline Configuration
Configure CI behavior by applying the relevant labels:

-
[SKIP_CI](https://github.com/NVIDIA/bionemo-framework/blob/main/docs/docs/user-guide/contributing/contributing.md#skip_ci)
- Skip all continuous integration tests
-
[INCLUDE_NOTEBOOKS_TESTS](https://github.com/NVIDIA/bionemo-framework/blob/main/docs/docs/user-guide/contributing/contributing.md#include_notebooks_tests)
- Execute notebook validation tests in pytest
-
[INCLUDE_SLOW_TESTS](https://github.com/NVIDIA/bionemo-framework/blob/main/docs/docs/user-guide/contributing/contributing.md#include_slow_tests)
- Execute tests labelled as slow in pytest for extensive testing

> [!NOTE]
> By default, the notebooks validation tests are skipped unless
explicitly enabled.

#### Authorizing CI Runs

We use
[copy-pr-bot](https://docs.gha-runners.nvidia.com/apps/copy-pr-bot/#automation)
to manage authorization of CI
runs on NVIDIA's compute resources.

* If a pull request is opened by a trusted user and contains only
trusted changes, the pull request's code will
automatically be copied to a pull-request/ prefixed branch in the source
repository (e.g. pull-request/123)
* If a pull request is opened by an untrusted user or contains untrusted
changes, an NVIDIA org member must leave an
`/ok to test` comment on the pull request to trigger CI. This will need
to be done for each new commit.

### Usage
<!--- How does a user interact with the changed code -->
```python
from bionemo.moco.schedules.inference_time_schedules import (
    EntropicInferenceSchedule, 
    TimeDirection #Optional
)

def predictor_fn(t: Tensor, x: Tensor) -> Tensor:
    # Ensure t is broadcastable for concatenation
    if t.ndim == 1:
        t = t.unsqueeze(-1)
    if t.shape[0] != x.shape[0]:
        t = t.expand(x.shape[0], -1)
    
    model_input = torch.cat([x, t], dim=-1)
    return model(model_input)

def x_0_sampler_fn(n_samples: int) -> Tensor:
    return #Noise Sampler

def x_1_sampler_fn(n_samples: int) -> Tensor:
    return #Target Sampler

inference_sched = EntropicInferenceSchedule(
    predictor=predictor_fn,
    x_0_sampler=x_0_sampler_fn,
    x_1_sampler=x_1_sampler_fn,
    nsteps=_FLOW_STEPS,
    n_schedule_points=10,      # More points -> more accurate schedule, but slower to generate
    batch_size=batch_size,
    direction=TimeDirection.UNIFIED,
    device=DEVICE,
)

schedule = inference_sched.generate_schedule().to(DEVICE)  
dts      = inference_sched.discretize().to(DEVICE)         

```

### Pre-submit Checklist
<!--- Ensure all items are completed before submitting -->

 - [x] I have tested these changes locally
 - [x] I have updated the documentation accordingly
 - [] I have added/updated tests as needed
 - [] All existing tests pass successfully

---------

Signed-off-by: btrentini <brunoxtrentini@gmail.com>

Author: btrentini